Powered by Labelbox. Earn money by teaching AI models. Get paid to align groundbreaking AI models with your expertise

Industry: Technology, Information and Internet
Company Size: 11-50 employees

Alignerr

Savvy Admin PROD

**Material Science Specialist (AI Training)**

**About The Role**

What if your deep expertise in material science could directly shape how AI reasons about semiconductors, molecular structures, and the physical world? We're looking for Materials Science specialists — Masters and PhD-level experts — to help train and evaluate cutting-edge AI models on some of the most complex problems in science today.

This is a fully remote, flexible contract role built for researchers and domain experts who want to put their knowledge to work beyond the lab. No AI background needed — your scientific expertise is what matters.

- Organization: Alignerr

- Type: Hourly Contract

- Location: Remote

- Commitment: 10–40 hours/week

**What You'll Do**

- Develop, solve, and review advanced material science problems with real-world scientific relevance

- Apply your expertise in semiconductor materials, molecular modeling, or related specialisms to design challenging, rigorous problem sets

- Evaluate AI-generated solutions for scientific accuracy, depth, and reasoning quality

- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model performance

- Ensure scientific rigor, clarity, and precision across all deliverables

- Complete task-based assignments independently on your own schedule

**Who You Are**

- Master's or PhD in Material Science or a closely related discipline

- Deep expertise in semiconductor materials, molecular modeling, or adjacent research areas

- Comfortable coding in Python or MATLAB — research or project experience counts

- Naturally detail-oriented with strong scientific communication skills, both written and verbal

- Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand

- No prior AI or machine learning experience required — full training support provided

**Nice to Have**

- Prior experience with data annotation, data quality review, or evaluation systems

- Background in applied materials research, industry R&D, or academic publishing

- Familiarity with AI tools or technical evaluation workflows

**Why Join Us**

- Work on frontier AI projects alongside the world's leading AI research labs

- Fully remote and flexible — work when and where it suits you

- Freelance autonomy with the structure of meaningful, task-based scientific work

- Apply your academic and research expertise in a high-impact, practical setting

- Contribute to AI systems that will shape how the world understands materials science

- Potential for ongoing work and contract extension as new projects launch

Material Science Specialist (Masters/PhDs)

CoreWeave is the AI Hyperscaler™

Industry: IT Services and IT Consulting
Company Size: 501-1,000 employees

CoreWeave

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

**The Mission**

As CoreWeave continues to solidify its position as the **Essential Cloud for AI **, we are seeking a visionary **VP of Product **,**Research Training Infrastructure **. This executive leader will own the product strategy and engineering execution for the services that power the most ambitious AI research labs in the world. You will bridge the gap between "the metal" and the researcher, delivering a seamless, high-performance environment where frontier models are born.

**The Role: Architect of the AI Factory**

You will lead the product strategy of our **Research Training Stack **, focusing on the specialized orchestration, evaluation, and iteration tools required for massive-scale pre-training and post-training. This is a mission-critical role at the intersection of high-performance computing (HPC) and cloud-native agility.

**Core Responsibilities**

- Frontier Orchestration: Oversee the evolution of SUNK (Slurm on Kubernetes) to provide researchers with deterministic, bare-metal performance through a cloud-native interface.

- Holistic Training Services: Beyond Slurm, drive the development of next-generation orchestrators and automated training-based evaluation frameworks that ensure model quality throughout the lifecycle.

- Post-Training Excellence: Build the infrastructure required for sophisticated Reinforcement Learning (RL) and RLHF pipelines, enabling labs to refine foundation models with maximum efficiency.

- Customer Advocacy: Act as the primary technical partner for lead researchers at global AI labs, translating their "future-state" requirements into actionable product roadmaps.

**Requirements: Deep Research & Infrastructure Mastery**

- Proven Leadership: 15+ years of experience in engineering leadership, with at least 5+ years managing large-scale infrastructure at a top-tier research lab or an AI-native cloud provider.

- Domain Expertise: Deep, hands-on knowledge of Slurm, Kubernetes, and the specific networking requirements (InfiniBand/RDMA) for distributed training clusters.

- Research Mindset: You likely come from a background supporting frontier model research (pre-training and post-training) and understand the "pain points" of a research scientist.

- Scaling Experience: A track record of delivering mission-critical services on multi-thousand GPU clusters (H100/Blackwell/Rubin architectures).

- Strategic Vision: Ability to define "what’s next" in the AI stack, from automated RL loops to specialized sandbox environments.

**Why CoreWeave?**

In 2026, CoreWeave is the foundation of the largest infrastructure buildout in human history. We are building **AI Factories **, not just data centers.

- Silicon-Up Innovation: Work directly with the latest NVIDIA architectures.

- Impact: You will be the architect of the environment that enables the next new discovery.

**Velocity: ** We move at the speed of the researchers we support, bypassing legacy cloud bottlenecks to deliver raw power.

~~The base salary range for this role is $233,000 to $341,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).~~

**What We Offer**

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

- Medical, dental, and vision insurance - 100% paid for by CoreWeave

- Company-paid Life Insurance

- Voluntary supplemental life insurance

- Short and long-term disability insurance

- Flexible Spending Account

- Health Savings Account

- Tuition Reimbursement

- Ability to Participate in Employee Stock Purchase Program (ESPP)

- Mental Wellness Benefits through Spring Health

- Family-Forming support provided by Carrot

- Paid Parental Leave

- Flexible, full-service childcare support with Kinside

- 401(k) with a generous employer match

- Flexible PTO

- Catered lunch each day in our office and data center locations

- A casual work environment

- A work culture focused on innovative disruption

**Our Workplace**

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

~~CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.~~

~~As part of this commitment and consistent with the ~~~~Americans with Disabilities Act (ADA) ~~~~, CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.~~

**Export Control Compliance**

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C.

- 1157, or (iv) asylee under 8 U.S.C.

- 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

VP of Product, Research and Training Infrastructure

We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.

Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

Industry: Research Services
Company Size: 51-200 employees

Anthropic

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Teams**

Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas:

- Developing systems that enable models to use computers effectively

- Advancing code generation through reinforcement learning

- Pioneering fundamental RL research for large language models

- Building scalable RL infrastructure and training methodologies

- Enhancing model reasoning capabilities

We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.

**About The Role**

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

**Representative Projects**

- Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows.

- Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.

- Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.

- Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.

**You May Be a Good Fit If You**

- Are proficient in Python and async/concurrent programming with frameworks like Trio

- Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)

- Have industry experience in machine learning research

- Can balance research exploration with engineering implementation

- Enjoy pair programming (we love to pair!)

- Care about code quality, testing, and performance

- Have strong systems design and communication skills

- Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems

**Strong Candidates May Have**

- Familiarity with LLM architectures and training methodologies

- Experience with reinforcement learning techniques and environments

- Experience with virtualization and sandboxed code execution environments

- Experience with Kubernetes

- Experience with distributed systems or high-performance computing

- Experience with Rust and/or C++

**Strong Candidates Need Not Have**

- Formal certifications or education credentials

- Academic research experience or publication history

**Deadline to apply: **None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$500,000—$850,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Research Engineer, Machine Learning (Reinforcement Learning)

Unleashing the world's untapped human potential to accelerate AGI. Turing is at the forefront of AGI infrastructure, solving the human intelligence bottleneck and empowering enterprises to harness the power of generative AI—transforming complex data into actionable insights. From custom AI products to end-to-end deployment, our solutions and experts are dedicated to driving innovation and efficiency. Trusted by 1000+ companies including OpenAI, Google, and Meta. Join us in the AGI era and accelerate how businesses operate. Learn more at turing.com.

Seasoned software developers, AI engineers, business and research specialists, and others can join us in the AGI era at turing.com/jobs

Industry: Technology, Information and Internet
Company Size: 501-1,000 employees

Turing

Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI experience required

**Role Overview: **

Help fine-tune large language models (like ChatGPT) using your physics skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks.

**Responsibilities: **

- Design advanced physics problems to test AI performance (e.g., mechanics, electromagnetism, thermodynamics).

- Develop clear, step-by-step solutions with rigorous logic.

- Evaluate AI outputs for accuracy and quality of reasoning.

- Collaborate with researchers to refine benchmarks across undergraduate to PhD-level physics topics.

**Requirements: **

- PhD (pursuing or completed) in Physics, Applied Physics, or a related field.

- Strong physics reasoning and problem-solving skills across advanced domains.

- Ability to communicate complex ideas clearly in writing and provide structured feedback.

- No AI experience required

**Perks: **

- Fully remote, flexible work.

- Work on cutting-edge AI projects with leading LLM companies.

**Offer Details: **

- **Pay rate: **$100+/hour (depends on role and candidate expertise)

- **Assessment: ** Shortlisted experts complete an evaluation before selection.

- **Assignments: **Contract roles with defined start/end dates; up to 40 hrs/week.

**About Turing: **

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

**After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. **

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Remote Physics Researcher (PhD)

**About Turing: **

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.

Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

**About the Role: **

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

**Responsibilities: **

- Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.

- Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.

- Provide detailed, well-structured justifications to support evaluation decisions.

- Follow established evaluation guidelines and quality standards consistently.

- Use browser-based tools and extensions to support analysis and review tasks.

- Execute simple command-line instructions when required to support evaluation workflows.

- Document findings clearly and communicate insights to stakeholders when needed.

**Requirements: **

- Solid comfort using a computer in a professional setting.

- Experience working with browser extensions and online tools.

- Ability to run basic command-line commands (no advanced programming required).

- Strong analytical and critical thinking skills.

- High attention to detail and ability to justify decisions clearly and objectively.

- Comfortable working with evaluation frameworks, comparisons, and structured analysis.

- Good written communication skills in English.

**Nice to Have: **

- Previous experience with evaluation, annotation, QA, or audit-type work.

- Familiarity with data quality, content evaluation, or model/output assessments.

- Background in business analysis, operations, or process improvement.

**Perks of Freelancing With Turing: **

- Competitive compensation based on experience and expertise.

- Flexible working hours and a fully remote environment.

- Opportunity to contribute to impactful research initiatives.

- Potential for contract extension based on performance and project needs.

**Offer Details: **

- Commitment Required: 30 hours per week minimum.

- Engagement Type: Contractor/Freelancer (no medical or paid leave).

- Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.

**Application Process: **

- Shortlisted candidates will be invited to complete an analytical challenge.

- Once the assessment is cleared, you’re ready to start contributing!

**After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. **

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Remote Business Analyst - 57510

**About Turing **

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

**Role Overview **

Turing is looking for Accounting professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in financial reporting, audit, tax compliance, and accounting standards to evaluate and train AI systems. If you enjoy solving complex problems in accounting and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.

**What Does Day-to-Day Look Like **

- Evaluate LLM models on accounting topics such as revenue recognition, lease accounting, consolidation, and tax provision calculations.

- Create rubrics to assess model capabilities on tasks like journal entry analysis, financial statement preparation, audit procedures, and GAAP/IFRS compliance.

- Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

**Requirements **

- 2+ years of experience in Accounting (e.g., public accounting, corporate accounting, audit, tax, or financial reporting).

- Strong grasp of US GAAP or IFRS, financial statement preparation, audit methodologies, and regulatory compliance.

- Excellent English written communication.

**Bonuses (Not at All Necessary) **

- CA, CPA, ACCA, CMA, or MBA in Finance/Accounting.

**Perks of Freelancing with Turing **

- Work on the cutting edge of AI and finance.

- Fully remote and flexible work environment.

- Competitive hourly compensation of ~$100+/hour depending on experience.

**Offer Details **

- Commitment: Flexible, 10–30 hrs/week.

- Duration: ~1 month, with the possibility of extension based on performance and project needs.

**After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. **

**We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals. **

Remote Accounting Specialist ($100/hr) - 75409

Cohere is the leading AI platform for enterprise. Our world-class AI is uniquely suited to the needs of business, unlocking unprecedented ease-of-use, accessibility, and data privacy. Cohere’s platform is cloud-agnostic, accessible through API as a managed service, and can be deployed on virtual private cloud (VPC) or even on-site to meet companies where their data is, offering the highest levels of flexibility and control. 

Founded by Google Brain alumni and a co-author of the seminal Transformer research paper, Cohere is on a mission to transform enterprises and their products with AI that unlocks a more intuitive way to generate, search, and summarize information than ever before. We are backed by group of global institutional and strategic investors including Index Ventures, Oracle, NVIDIA, Salesforce Ventures, Inovia Capital, DTCP, Mirae Asset, Radical Ventures, Section 32, and Tiger Global, as well as several AI luminaries, including Geoffrey Hinton, Jeff Dean, Fei-Fei Li, Pieter Abbeel, and Raquel Urtasun.

Industry: Software Development
Company Size: 201-500 employees

Cohere

**Who are we?**

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

**Why this role**

Cohere is deepening its partnerships with Oracle and Dell—two high-impact partners that shape how enterprises build, deploy, and scale AI. These partners sit at the intersection of cloud platforms, infrastructure, and enterprise applications, making them critical distribution and influence channels for Cohere. We need a dedicated partner marketer to turn these partnerships into repeatable, high-performing GTM engines that drive adoption, revenue, and market credibility.

**In this role you will manage**

**Partner Marketing Strategy & Execution**

- Own end-to-end partner marketing for Oracle and Dell, spanning product storytelling, positioning, solution messaging, and co-branded assets.

- Develop annual and quarterly joint GTM plans in alignment with partner priorities, Cohere product launches, and sales needs.

- Build strong working relationships with partner marketing, partnerships, product, and industry teams across both organizations.

**Content, Messaging & Launch Readiness**

- Lead content for co-engineered solutions, partner platform integrations, and AI factory/on-prem deployments.

- Develop partner-ready messaging kits, solution briefs, decks, demo narratives, and customer-facing content.

- Manage approvals and brand governance with Oracle and Dell to ensure accuracy and speed to market.

**Event, Enablement & Campaign Leadership**

- Support Events Team on Cohere’s presence at Oracle AI World, Dell Technologies World, and regional partner-led events.

- Support planning out joint webinars, demand-gen campaigns, and industry vertical activations with partners.

- Build and deliver partner enablement (training, talk tracks, field guides, vertical plays).

**Cross-Functional & Sales Alignment**

- Partner with Product Marketing to support partner launches tied to new models, updates, and capabilities.

- Collaborate with Partnerships, Sales, and SAs on co-sell motions, pipeline generation, and strategic customer engagements.

- Act as the main marketing point of contact for Oracle and Dell internally.

**Measurement & Reporting**

- Define KPIs for each partner and track impact across pipeline, deal velocity, partner engagement, and co-marketing performance.

- Report quarterly outcomes and insights to GTM and partner leadership.

**You may be a good fit if you have**

- 5–8+ years in partner marketing, product marketing, or ecosystem marketing in AI, SaaS, cloud, infrastructure, or enterprise tech.

- Experience working with cloud platform and/or infrastructure OEM partners (Oracle, Dell, VMware, HPE, AWS, etc.).

- Ability to translate technical concepts—AI stacks, model performance, on-prem deployments, and enterprise application integrations—into compelling narratives.

- Strong GTM fundamentals: content creation, co-sell motions, partner enablement, event strategy, and demand-gen.

- Experience managing high-stakes partners and navigating complex approval processes.

- Excellent communication skills and a collaborative approach with cross-functional teams.

- A builder mentality—you thrive in fast-paced environments and enjoy creating scalable playbooks, processes, and partner assets.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

**Full-Time Employees At Cohere Enjoy These Perks**

🤝 An open and inclusive culture and work environment

🧑‍💻 Work closely with a team on the cutting edge of AI research

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health

🐣 100% Parental Leave top-up for up to 6 months

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)

Partner Marketing Manager

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

The Creative Studio is Anthropic’s in-house creative team responsible for the brand expression across Anthropic and Claude. We care about craft, making things by hand and using AI when it makes sense. The team is growing, and we’re looking for people who do excellent work to join us. The stakes are real, and there’s room to shape what all this becomes.

**About The Role**

Anthropic is looking for a Creative leader to own the vision for the Anthropic company brand — defining how Anthropic looks, feels, and communicates in the world, with a focus on our mission, our research and safety work, and our place in the broader AI landscape.

This is a rare role: one that sits at the intersection of brand strategy, editorial sensibility, and creative execution across an unusually wide range of formats and audiences. Anthropic occupies a unique position in the cultural conversation around AI — not just as a technology company, but as an organization with a genuine intellectual and moral point of view. This role is the creative steward of that position.

The Anthropic brand touches everything from brand marketing campaigns, flagship events and media partnerships to long-form content, book publishing, and internal communications. The Creative Director ensures that work across all of these channels feels cohesive, distinctive, and well-crafted while also building the team that makes it possible.

You'll work closely with brand marketing, communications, and editorial partners to translate Anthropic's mission and values into creative that resonates across a wide range of audiences — from policymakers and researchers to enterprise leaders and the broader public. You bring both a strong visual and verbal sensibility, and understand that at Anthropic, design and language are inseparable.

**Responsibilities**

- Define and evolve the creative vision for the Anthropic brand, ensuring consistency and coherence across all touchpoints — from campaigns and events to publishing and digital experiences

- Set and elevate the creative bar for the team, providing direction and feedback that pushes the quality and distinctiveness of everything we produce

- Lead creative strategy and execution for high-profile brand initiatives, including brand campaigns, flagship events, media and publication partnerships, thought leadership campaigns, and brand development work

- Develop brand positioning, messaging frameworks, and visual identity recommendations in collaboration with brand marketing and communications leadership

- Partner closely with communications, editorial, and publishing teams to ensure creative work supports and amplifies Anthropic's voice across blogs, books, newsletters, and other content

- Collaborate with events leadership and creative team to shape the creative experience at Anthropic's marquee events, including identity, branded environments, and on-site materials

- Build and grow the Anthropic brand creative team, hiring for and developing talent across design, copywriting, and other disciplines as the team scales

- Manage relationships with external creative partners and agencies where appropriate, maintaining high standards and brand alignment across all work

- Work cross-functionally with teams across the organization — including brand marketing, enterprise marketing, research, policy, and product — to ensure the Anthropic brand creative output serves a broad range of internal and external goals

**You may be a good fit if you**

- Have 15+ years of experience in creative leadership, with a track record of building or shaping a brand from the ground up — ideally at a technology company, media organization, editorial outlet, or agency operating at the intersection of ideas and culture

- Have a strong portfolio demonstrating creative vision, strategic thinking, and the ability to work across a wide range of formats — including brand foundational work, events, campaigns, digital experiences, long-form content and book design

- Are skilled at translating complex, nuanced subject matter into creative that is both compelling and accessible to diverse audiences

- Bring genuine editorial sensibility: you read widely, you care about how ideas are expressed in language, and you understand what distinguishes a beautifully made publication from a merely professional one

- Have experience hiring and developing creative talent, and can build a strong team in a fast-moving environment

- Are fluent in both visual and verbal creative — you can art direct and you can edit, and you know when the two are the same thing

- Are comfortable working in ambiguity and can balance long-term brand vision with the demands of fast-moving, high-stakes projects

- Are an excellent collaborator who can work effectively with a wide range of stakeholders — from creative teams to communications, policy, and senior leadership

- Care deeply about the societal implications of AI and are excited by the opportunity to help communicate Anthropic's mission and work to the world

- Are comfortable engaging with technical or policy-heavy subject matter and bringing it to life creatively

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$385,000—$460,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Head of Anthropic Creative, Creative Studio

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 

Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

Industry: Software Development
Company Size: 10,001+ employees

Microsoft

**Overview**

Microsoft Research New York City (MSR NYC) is seeking applicants for one or more Postdoctoral Researcher (Postdoc) positions in Fairness, Accountability, Transparency, and Ethics in AI (FATE). This two-year position, to begin in July 2026, is an ideal opportunity for an emerging scholar whose work focuses on the social implications of machine learning and AI.

We will begin to review applications on December 15, 2025, and continue to do so until we fill the position. We encourage applicants to submit as close to December 15 as possible for full consideration.

As a Post Doc researcher, you will have the opportunity to pursue your own research agenda while interacting with our group's diverse array of researchers and contributing to ongoing research projects. We collaborate extensively with groups at other MSR locations and across Microsoft.

The FATE group in NYC is interested in research including but not limited to: sociotechnical approaches to AI evaluation/measurement; developing statistical, computational, and visualization methodologies for AI evaluation/measurement; the challenges of responsible AI in industry practice; AI law and policy; AI transparency; human-AI interaction; AI and critical thought; AI and political economy; AI and sustainability; AI and geopolitics; AI and creative labor; and a wide range of topics that address AI’s social impacts from a diversity of disciplinary perspectives.

Postdoc researchers receive a competitive salary and benefits, and are eligible for relocation benefits. These positions are for up to two years, starting in July 2026, ending no later than June 30th, 2028.

Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research, with access to an extraordinary diversity of data sources, an open publications policy, and close links to top academic institutions around the world.

Applicants should have evidence of research contributions through conference or journal publications or equivalent work and broader contributions to the research community. Applicants must have fulfilled their PhD degree requirements, including submission of their dissertation, prior to joining MSR NYC. We encourage candidates with tenure-track academic job offers to apply (with the option of doing a one-year rather than two-year postdoc), provided they are able to defer their start date by at least one year to accept our position.

Microsoft Research is committed to cultivating a workplace that reflects the diversity of the global communities we serve. We actively seek to build an inclusive and equitable research environment where individuals of all backgrounds feel valued, supported, and empowered to contribute. We encourage applications from candidates who bring a broad range of experiences and perspectives. Our team works collectively to ensure that Microsoft Research remains a respectful, collaborative, and high-impact space for all researchers.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we are dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

You can upload documents by going to your profile on the career site and clicking on the **Resume Manager ** tab in the top right of the page, and from there selecting **Other Documents. ****If you are having trouble submitting your application, please go to the bottom of the page and click "Support" and fill out the requested information.**

**Responsibilities**

As a **Post Doc Researcher **, you define your own research agenda in collaboration with other researchers, driving forward an effective program of basic, fundamental, and applied research. We highly value collaboration and building new ideas with members of the group and others. You may also have the direct opportunity to realize your ideas in products and services used worldwide.

**Qualifications**

**Required Qualifications:**

- PhD in relevant field (e.g., computer science, statistics, information science, decision sciences, sociology, anthropology, science and technology studies, media studies, law, or related fields), to be conferred by July 2026.

**Preferred Qualifications**

- Research ability demonstrated by two conference or journal publications or equivalent writing samples, requested as part of the application.

- Research agenda that overlaps with the Microsoft Research NYC FATE team.

- The ability to work in a highly collaborative and interdisciplinary environment.

- Participation and activity in the scientific community.

- Effective communication skills.

**Other Requirements**

**How to Apply :**

To be assured of full consideration, all application materials, including reference letters, need to be received by  December 15, 2025. Applications received after that date may or may not be considered.

To ensure we receive a complete application from you, please be sure to follow these instructions:

- Upload your CV.

- When prompted in your application, please provide the names and contact information for at least 3 reference letter writers (in nearly all cases, one will be from your dissertation advisor).

- Upload (as separate attachments to your application) 2 conference or journal articles or equivalent writing samples that you are most proud of, and which best demonstrate your expertise in topics relevant to FATE.

- Upload (as an attachment to your application) an academic statement (recommended to be no more than 4 pages) that outlines both your research achievements and agenda.

- After you submit your application, the system will send a request for letters to your list of references on your behalf. Note: The application system will not request reference letters until after you have submitted your application. You may wish to alert your letter writers in advance so that they will be ready to submit your letter by our application deadline of December 15, 2025. While you will not be able to view the letters themselves, you can check the status of individual reference requests within your application.

You can upload documents by going to your profile on the career site and clicking on the **Resume Manager ** tab in the top right of the page, and from there selecting **Other Documents. ****If you are having trouble submitting your application, please go to the bottom of the page and click "Support" and fill out the requested information.**

Research Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

PostDoc Researcher-FATE (Fairness, Accountability, Transparency, and Ethics in AI-Microsoft Research

**Who are we?**

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

**Why this role?**

Advance the state of the art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organisational needs. We have all the compute, data, and talent available for you to do your best work.

~~Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly!~~

**As a Member Of Technical Staff, You Will**

- Design and write high-performant and scalable software for training models.

- Consistently post-train the models to reach SOTA level performance.

- Coordinate with other specialist teams (Agentic, Code…) to produce models that have strong all encompassing performance.

- Craft and implement techniques to improve the performance and results of our training cycles both on the SFT and the RL regime.

- Research, implement, and experiment with ideas on our supercompute and data infrastructure.

- Learn from and work with the best researchers in the field.

**You May Be a Good Fit If You Have**

- Extremely strong software engineering skills.

- Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.

- Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray).

- Experience using large-scale distributed training strategies.

- Hands on experience on training large model at scale.

- Hands on experience with the post training phase of model training, with a strong emphasis on performance optimisation.

- Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

-  This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

**Full-Time Employees At Cohere Enjoy These Perks**

🤝 An open and inclusive culture and work environment

🧑‍💻 Work closely with a team on the cutting edge of AI research

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health

🐣 100% Parental Leave top-up for up to 6 months

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)

Member of Technical Staff, Post-Training

**About Turing **

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

**Role Overview **

Turing is looking for Research analysts to work with our researchers to improve the performance of AI models. You will apply your expertise in equity research, sector analysis, financial modelling, and investment thesis development to evaluate and train AI systems. If you enjoy solving complex problems in financial research and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.

**What Does Day-to-Day Look Like **

- Evaluate LLM models on research topics such as equity valuation, sector analysis, earnings estimate modelling, and investment thesis formulation.

- Create rubrics to assess model capabilities on tasks like DCF modelling, comparable company analysis, industry research, and initiating coverage reports.

- Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

**Requirements **

- 2+ years of experience in Equity Research, Credit Research, or Sell-Side/Buy-Side Research.

- Strong grasp of financial statement analysis, valuation methodologies, sector dynamics, and investment recommendation frameworks.

- Excellent English written communication.

**Bonuses (Not at All Necessary) **

- CFA (Level I/II/III) or MBA in Finance.

**Perks of Freelancing with Turing **

- Work on the cutting edge of AI and finance.

- Fully remote and flexible work environment.

- Competitive hourly compensation of ~$100+/hour depending on experience.

**Offer Details **

- Commitment: Flexible, 10–30 hrs/week.

- Duration: ~1 month, with the possibility of extension based on performance and project needs.

**After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. **

**We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals. **

Remote Equity Research Analyst ($100/hr) - 75401

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