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

Alignerr

Savvy Admin PROD

**Climate Data Specialist (AI Training)**

**About The Role**

What if your years of environmental science expertise could directly shape how AI understands our planet's most pressing challenges? We're looking for Climate Data Specialists with advanced degrees to develop complex, real-world problems in climate modeling, ecology, and sustainability — problems that train the next generation of AI models to reason like a scientist.

This is a fully remote, flexible contract role built for researchers and domain experts who want to apply their knowledge 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**

- Design, solve, and critically review advanced environmental science problems with genuine real-world relevance

- Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to craft complex, rigorous problem statements

- Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness

- Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of AI scientific reasoning

- Ensure scientific rigor, clarity, and intellectual depth across every deliverable

- Work independently on task-based assignments — fully on your own schedule

**Who You Are**

- Holds a Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field

- Strong working knowledge of climate modeling, ecological systems, or sustainability science

- Comfortable coding in Python or R for research, data analysis, or modeling

- Exceptionally clear written communicator — you can explain complex science precisely and accessibly

- Detail-oriented and methodical, with high standards for scientific accuracy

- Fluent in English

**Nice to Have**

- Prior experience with data annotation, data quality evaluation, or AI training workflows

- Background in computational modeling, remote sensing, or environmental data analysis

- Familiarity with interdisciplinary research spanning climate, ecology, and policy

- Experience reviewing or editing scientific content for accuracy and rigor

**Why Join Us**

- Work on cutting-edge AI projects alongside leading research labs — your science directly shapes what AI knows about the natural world

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

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

- Make a tangible impact by helping AI reason more accurately about climate, ecology, and the environment

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

Climate Data Specialist

**Material Science Specialist (Masters/PhDs) - AI Training**

**About The Role**

What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons through the most complex problems in modern science? We're looking for Materials Science specialists — Masters and PhD level — to help train and evaluate cutting-edge AI models being built by the world's leading research labs.

This is a fully remote, flexible contract role built for researchers and domain experts who want to put their knowledge to meaningful, high-impact use. No prior AI experience required — 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 critically review advanced materials science problems with real-world scientific relevance

- Apply your expertise in semiconductor materials, molecular modeling, or related specializations to design complex, rigorous problem statements

- Evaluate AI-generated responses 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

**Who You Are**

- Holds a Master's or PhD in Materials Science or a closely related field

- Deep expertise in semiconductor materials, molecular modeling, or an adjacent discipline

- Proficient in Python or MATLAB for research applications or technical problem-solving

- Exceptional written communicator — you can explain complex concepts clearly and precisely

- Detail-oriented and methodical, with a strong commitment to scientific accuracy

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

**Nice to Have**

- Prior experience with data annotation, data quality review, or AI evaluation workflows

- Background in academic research, industry R&D, or technical consulting

- Experience writing or reviewing technical documentation or research papers

**Why Join Us**

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

- Fully remote and asynchronous — work on your own schedule, from anywhere

- Freelance autonomy with the structure of meaningful, intellectually stimulating work

- Make a direct, tangible impact on how AI understands and reasons about materials science

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

Material Science Specialist (Masters/PhDs)

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

**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

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 Role**

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

**Responsibilities**

- Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

- Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

- Support customers building with both the Claude API and Claude for Work

- Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

- Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

- Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

- Identify common integration patterns and contribute insights back to our Product and Engineering teams

- Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

- Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

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

- 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

- Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

- Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

- Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

- Experience designing scalable cloud architectures and integrating with enterprise systems

- Comfortable with python

- Familiarity with common LLM frameworks and tools or a background in machine learning or data science

- Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

- A love of teaching, mentoring, and helping others succeed

- Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

- Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

**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**

$240,000—$315,000 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.

Applied AI Architect, Industries

**Researcher — Lean 4 & Formal Proof Systems (AI Training)**

**About The Role**

What if your deep mathematical training could directly shape how AI reasons about formal proofs — pushing the boundaries of what machines can understand and verify? We're looking for mathematicians and formal verification experts to translate sophisticated mathematical arguments into Lean 4, working at the intersection of pure mathematics and cutting-edge AI research.

This is a fully remote, flexible contract role. If you find genuine satisfaction in taking a dense, elegant human argument and expressing it in a form a machine can verify — this role was built for you.

- Organization: Alignerr

- Type: Hourly Contract

- Location: Remote

- Commitment: 10–40 hours/week

**What You'll Do**

- Translate informal mathematical proofs into Lean 4 (and related proof systems) with a focus on clarity, structure, and correctness

- Analyze proofs across domains, identifying gaps, hidden assumptions, and formalizable sub-structures

- Construct formalizations that test and extend the limits of existing proof assistants — especially where tools struggle or fail

- Collaborate with researchers to design, refine, and evaluate strategies for improving formal verification pipelines

- Develop readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms

- Provide guidance on proof decomposition, lemma selection, and structuring techniques for formal models

- Investigate where automated provers break down and articulate precisely why — complexity, missing lemmas, insufficient libraries, and beyond

- Create Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics

**Who You Are**

- Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field

- Have a strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics

- Bring hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or a comparable system — Lean 4 strongly preferred

- Genuinely enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics

- Able to translate informal mathematical arguments into clean, well-structured formal proofs

- Mathematically mature and energized by working at the frontier of what formal systems can express

**Nice to Have**

- Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools

- Experience contributing to large-scale formalization projects such as Mathlib

- Exposure to theorem provers where automated reasoning frequently fails or requires substantial manual scaffolding

- Prior experience with data annotation, data quality evaluation, or AI training workflows

- Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies clearly

**Why Join Us**

- Work on genuinely frontier problems — proofs that lie beyond the current capabilities of automated systems

- Fully remote and flexible — structure your work around your life, not the other way around

- Collaborate with teams working alongside the world's leading AI research labs

- Freelance autonomy with the depth and intellectual rigor of serious mathematical research

- Contribute to work that is actively shaping how AI understands and reasons about mathematics

- Potential for ongoing contract extension as new projects launch

Researcher - Lean 4 & Formal Proof Systems

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