RemoExperts (by Abaka AI) is a global platform where skilled professionals and tutors contribute to AI training across video, image, audio, text, code, math, and more.

We are building a community of students, experts, and freelancers who work remotely, earn fairly, and play a direct role in teaching AI to be safer and perform better.

No prior AI experience is required. What matters is strong expertise in your field and the motivation to contribute.

Apply now at remoexperts.com

Industry: Technology, Information and Internet
Company Size: 201-500 employees

Rex.zone

Savvy Admin PROD

**AI Research Jobs in the United States (Remote, Full-Time)**

You will run applied AI research projects for US-based customers via Rex.zone, translating open-ended research questions into measurable experiments across LLM evaluation, RLHF data design, prompt evaluation, and model performance improvement.

**What You Will Do**

- Own end-to-end applied research cycles: problem framing, baselines, ablations, and reporting

- Build and evaluate LLM systems using offline metrics and human-in-the-loop evaluation

- Design RLHF workflows: preference data specs, rater instructions, prompt sets, and rubric-based grading

- Create evaluation datasets and test suites: prompt evaluation, red-teaming prompts, and content safety labeling protocols

- Collaborate with data labeling teams on taxonomy, edge-case coverage, and training data quality

- Perform error analysis and model debugging to improve robustness, safety, and helpfulness

- Document methodology and results for reproducibility and auditability

**Required Qualifications**

- Mid-Senior experience delivering applied ML research or productionized ML evaluation

- Strong Python skills; experience with PyTorch (or similar)

- Hands-on LLM evaluation, prompt evaluation, or RLHF experience

- Experiment design, metrics selection, and statistically sound interpretation

- Familiarity with dataset development: data labeling, QA evaluation, and guideline compliance checks

- Strong written communication for research artifacts and cross-functional alignment

**Preferred Qualifications**

- RAG/NER/structured output evaluation experience

- Exposure to computer vision or multimodal evaluation

- Content safety labeling taxonomies and policy-aligned rubrics

- MLOps for evaluation pipelines, dataset versioning, and reproducible runs

**Remote Work and Collaboration**

Remote, FULL_TIME role supporting United States-based projects with distributed teams across research, engineering, and data operations.

**Compensation**

Hourly base pay range: $30–$50/hr.

AI Research Scientist (United States, Remote)

**Entry Level STEM Jobs United States (Remote, US)**

Support AI/ML engineering-adjacent workflows that improve LLM training pipelines through high-quality data labeling, RLHF-style evaluation, QA evaluation, and prompt evaluation. You will apply annotation guidelines compliance and structured documentation to strengthen training data quality and model performance.

**What You Will Do**

- Execute data labeling across text, image, and multimodal datasets

- Perform QA evaluation using sampling plans, disagreement analysis, and error taxonomies

- Complete RLHF preference ranking and prompt evaluation aligned to rubrics

- Annotate NLP tasks (e.g., named entity recognition, intent classification) with consistent schemas

- Support computer vision annotation (bounding boxes, segmentation) as needed

- Apply content safety labeling policies for harmful or sensitive content

- Document edge cases and provide rationales to improve guidelines and training data quality

- Collaborate asynchronously with distributed engineering and ops partners

**Required Qualifications**

- US-based and available for remote, full-time work

- STEM background (degree, bootcamp, or equivalent experience) and quantitative reasoning

- Ability to learn and follow detailed annotation guidelines

- Strong written communication and attention to detail

- Familiarity with spreadsheets and basic Python or SQL for lightweight data checks

**Preferred Qualifications**

- Experience with LLM evaluation, RLHF, or prompt evaluation

- Exposure to NLP and/or computer vision annotation tools

- Understanding of content safety labeling and policy interpretation

- Experience with training data quality metrics or inter-annotator agreement

**Compensation**

Hourly base pay range: **$30–$50/hr **.

**How To Apply**

Apply via Rex.zone and highlight STEM projects, Python/SQL, and any experience with data labeling, QA evaluation, RLHF, prompt evaluation, or annotation guidelines compliance.

Entry Level STEM Jobs United States

**Overview**

Rex.zone is recruiting for high-demand STEM roles aligned to AI/ML training workflows and applied engineering. These are remote, full-time opportunities supporting large language model evaluation, RLHF-adjacent feedback loops, data labeling, QA evaluation, prompt evaluation, and training data quality across NLP, computer vision, and content safety.

**What You Will Do**

- Produce and/or validate high-quality labels, judgments, and evaluations for AI systems

- Follow and improve annotation guidelines compliance; document edge cases and rubric updates

- Run QA sampling, adjudication workflows, and inter-annotator agreement calibration

- Perform error analysis and structured evaluation to drive model performance improvement

- Support LLM training pipelines with prompt evaluation and safety/reliability assessments

**Example focus areas (role-dependent)**

- NLP: named entity recognition, text classification, intent labeling

- Computer vision: bounding boxes, segmentation, dataset QA

- Content safety labeling and policy-aligned evaluation

- Data/ML engineering: data pipelines, evaluation harnesses, monitoring and drift checks

**How To Apply**

Apply on Rex.zone and confirm eligibility during the application process. Align your resume to skills like QA evaluation, data labeling, prompt evaluation, and training data quality.

Most In Demand STEM Jobs Canada (Remote)

**About The Role**

Support human-in-the-loop AI training workflows for large language models and multimodal systems. You will improve training data quality by completing data labeling, RLHF preference ranking, prompt evaluation, and QA evaluation tasks using structured annotation tools and written guidelines.

**Key Responsibilities**

- Create and review labeled datasets for NLP, computer vision, and multimodal use cases

- Perform RLHF preference ranking and rubric-based scoring

- Run prompt and response evaluations for helpfulness, factuality, and safety

- Execute content safety labeling (policy, harassment, self-harm, sensitive categories)

- Follow annotation guidelines and document rationales for edge cases

- Conduct QA evaluation via sampling plans, audits, and error taxonomy tracking

- Participate in calibration sessions to reduce rater variance and improve agreement

- Track throughput and quality metrics that impact LLM training pipelines

**Required Qualifications**

- Strong written English and structured reasoning

- Ability to follow detailed annotation guidelines with consistent judgment

- Comfort using spreadsheets, web tools, or labeling interfaces

- Familiarity with model evaluation and prompt/response patterns

- Attention to detail and evidence-based QA evaluation approach

- Comfort handling sensitive content as part of content safety labeling

**Work Details**

Remote, full-time work delivered through online tooling and written annotation guidelines.

Quality is measured via audits, disagreement rates, rubric adherence, and training data quality outcomes.

**Compensation**

Competitive hourly rate: $30–$50/hr (USD).

Entry Level AI Jobs in India

**AI Product Manager (Remote, US)**

Rex.zone is hiring an AI Product Manager to define and deliver AI-powered product outcomes for US-based customers. You will own the roadmap, translate user needs into ML requirements, shape data strategy, and lead evaluation and iteration loops from prototype to production.

**What You Will Do**

- Define product vision, PRDs, milestones, and success metrics for LLM/ML features

- Partner with ML engineering and data science on model selection, fine-tuning, and evaluation design

- Drive data strategy: dataset planning, taxonomy design, training data quality, and labeling operations

- Lead experimentation: offline metrics, human evaluation, prompt evaluation, A/B testing, and RLHF-style feedback loops

- Collaborate on responsible AI guardrails, content safety, risk assessment, and mitigations

- Ensure production readiness with MLOps, monitoring, incident response, and continuous improvement

**Required Qualifications**

- Mid-Senior experience shipping software products with measurable outcomes

- Strong product execution: clear PRDs, acceptance criteria, and stakeholder alignment

- Comfort with ML concepts (training/eval splits, precision/recall, ranking metrics, calibration)

- Experience working cross-functionally with engineering, data science, operations, legal/security

**Preferred Qualifications**

- LLM applications experience (RAG, agents, tool use)

- Familiarity with RLHF and human-in-the-loop evaluation programs

- Experience with annotation vendors/BPOs and QA processes

- Knowledge of MLOps, drift/latency monitoring, and quality regression tracking

**Location**

Remote (United States). Full-Time employment with cross-functional collaboration across time zones.

Apply with examples of AI products shipped, evaluation approach, and impact metrics.

AI Product Manager

**AI Training Jobs in Brazil**

Rex.zone connects Brazil-aligned talent with remote, full-time AI training work supporting LLM and computer vision model improvement through high-quality data and evaluation signals.

**About The Role**

You will contribute to AI training workflows that turn raw text, images, and model outputs into supervised datasets and evaluation signals. Work includes data labeling, RLHF preference ranking, prompt evaluation, QA evaluation, and guideline-based review in asynchronous, quality-driven delivery.

**What You’ll Do**

- Create and apply annotation taxonomies and guidelines

- Label text and image data; perform named entity recognition and document classification

- Conduct RLHF comparisons and preference ranking

- Execute prompt evaluation and rubric-based scoring

- Complete QA evaluation, adjudication, and error analysis

- Validate training data quality via sampling and audits

- Track inter-annotator agreement, defect rates, and calibration outcomes

- Document decisions to support consistent evaluation and dataset versioning

**Domains You May Support**

NLP/LLM evaluation, content safety labeling, multilingual Portuguese/English tasks, and computer vision annotation (e.g., bounding boxes/segmentation), depending on project needs.

**Requirements**

- Mid-senior capability in structured evaluation and operational rigor

- Experience with data labeling or QA evaluation in production settings

- Comfort with ambiguity resolution and rubric adherence

- Strong written communication for guideline interpretation

- Familiarity with LLM evaluation concepts (helpfulness, factuality, toxicity, instruction following)

**Compensation**

Hourly range: **$30–$50/hr ** (USD).

Quality is measured by audit accuracy, guidelines compliance, inter-annotator agreement, defect rates, and turnaround time.

AI Training Specialist (Brazil, Remote)

**STEM Research Jobs in Brazil at Rex.zone**

Join a full-time, remote STEM research-focused engineering role improving AI/ML training pipelines through applied research, evaluation, and data operations. You will translate research questions into measurable studies, create datasets and evaluation protocols, and strengthen large language model evaluation tied to training data quality and model performance improvement.

**Key Responsibilities**

- Design and run experiments that measure model behavior and data quality impacts

- Build and analyze datasets for named entity recognition, content safety labeling, and model evaluation

- Create annotation guidelines and ensure annotation guidelines compliance across contributors

- Execute RLHF evaluation and prompt evaluation workflows; document rubrics and edge cases

- Perform QA evaluation on labeled data and evaluations to reduce noise and bias

- Collaborate with engineering teams to integrate findings into training iterations

- Maintain reproducible research practices: versioning, documentation, and audit-ready artifacts

- Track metrics tied to evaluator agreement, training data quality, and performance improvement

**Required Qualifications**

- Mid-Senior experience in STEM research, engineering R&D, or applied research

- Strong experimental design, statistical reasoning, and data analysis skills

- Proficiency with Python and common data/science tooling

- Ability to write research documentation that is clear, testable, and reproducible

- Familiarity with machine learning fundamentals and evaluation methods

- Comfort working remotely with cross-functional stakeholders

**Compensation**

- $30–$50 per hour (USD), based on skills and experience

STEM Research Engineer (Brazil)

**STEM Research Jobs in Canada**

Rex.zone is hiring a STEM Research Engineer to support applied AI/ML research and engineering workflows, including LLM training pipelines, dataset development, RLHF, prompt evaluation, and QA evaluation. This is a remote, full-time role focused on improving training data quality and measurable model performance across NLP and computer vision.

**Key Responsibilities**

- Design and execute applied STEM research experiments aligned to model performance improvement and deployment constraints

- Build and maintain LLM training pipelines combining data labeling, RLHF signals, and QA evaluation outputs

- Develop prompt evaluation protocols and scoring rubrics for large language model evaluation

- Implement training data quality checks: annotation guidelines compliance, inter-annotator agreement, and sampling audits

- Run error analysis for NLP and computer vision tasks (e.g., named entity recognition and annotation edge cases)

- Support content safety labeling workflows with taxonomies, adjudication rules, and escalation criteria

- Produce reproducible documentation, experiment logs, and code to ensure traceability

- Communicate findings and recommendations to technical and non-technical stakeholders

**Required Qualifications**

- Mid-Senior experience in STEM research, applied ML research, or engineering research roles

- Strong Python for data processing, experiment automation, and evaluation tooling

- Hands-on experience with NLP, computer vision, or multimodal evaluation

- Knowledge of data labeling, QA evaluation, and annotation guidelines compliance

- Familiarity with RLHF and prompt evaluation methods

- Strong experiment design and statistical reasoning

- Experience collaborating in remote, cross-functional teams

**Compensation**

$30–$50 per hour (base salary).

Remote, full-time.

STEM Research Engineer (Canada)

**About The Role**

You will design and improve STEM learning experiences for Canadian-aligned programs delivered through Rex.zone partner platforms. This full-time remote role spans curriculum mapping, lesson and lab creation, formative and summative assessment authoring, and continuous content QA. You will collaborate with product and engineering to translate learning objectives into interactive content, ensure instructional integrity, and iterate using learner data and educator feedback.

**What You Will Do**

- Design curriculum-aligned STEM modules for Canadian contexts (K–12, post-secondary, or workforce upskilling)

- Author lesson plans, teacher notes, student activities, and lab or simulation guides

- Create assessment items (MCQ, short answer, performance tasks) with rubrics and answer keys

- Run content quality assurance for accuracy, clarity, bias, and accessibility (A11y)

- Partner with engineers to implement content in an LMS or content management system

- Use learning analytics to identify gaps and propose improvements to instruction and assessment

- Develop documentation (style guides, standards mapping, review checklists) to scale production

- Coordinate reviews with subject matter experts and incorporate feedback cycles

**Required Qualifications**

- Mid-Senior experience in STEM education, instructional design, curriculum development, or education technology

- Strong STEM subject proficiency (science, math, engineering, or computer science) and ability to explain concepts clearly

- Experience creating standards-aligned learning materials and assessment content

- Working knowledge of LMS/content tools and structured content workflows

- Ability to apply QA practices to educational content (fact-checking, consistency, readability)

- Strong stakeholder communication across educators, product, and engineering teams

**Compensation**

- Competitive hourly rate: $30–$50/hr (USD)

- Remote, full-time schedule with cross-team collaboration

STEM Education Jobs in Canada

**STEM Jobs in Brazil — Remote Full-Time Engineering Roles**

Rex.zone connects Mid-Senior engineers and technical professionals with Remote, FULL_TIME roles supporting modern technology delivery and AI/ML training workflows. You will contribute to data labeling, RLHF evaluation, prompt evaluation, QA evaluation, and measurable model performance improvement.

**About The Role**

You will deliver engineering work tied to Brazil-focused hiring needs while operating as a remote, full-time contributor. Projects may include building and maintaining data pipelines for training data quality, implementing annotation tooling, running QA evaluation, and supporting RLHF evaluation workflows used in large language model evaluation.

**Key Responsibilities**

- Own engineering deliverables across data systems, ML support tooling, and evaluation workflows

- Design and operate scalable pipelines for data labeling and content safety labeling

- Implement automated QA checks, sampling plans, and audit trails for evaluation datasets

- Support prompt evaluation, rubric design, and measurement for LLM evaluation

- Partner with AI labs, tech startups, BPOs, and annotation vendors to align outputs to project KPIs

- Document systems, test plans, and operational runbooks to ensure repeatability and compliance

**Required Qualifications**

- Mid-Senior experience delivering production engineering work

- Strong Python skills and ability to build maintainable services and data pipelines

- Familiarity with ML concepts including NLP, computer vision, and large language model evaluation

- Understanding of data labeling, annotation guidelines compliance, and training data quality

- Experience with QA evaluation methods, error analysis, and metrics-driven iteration

- Strong written communication and ability to work effectively in remote teams

**Preferred Qualifications**

- Experience supporting RLHF evaluation or preference data workflows

- Exposure to prompt evaluation and rubric-based scoring for LLM training pipelines

- Experience with dataset versioning, governance, and auditability

- Familiarity with content safety labeling and policy-driven annotation

- Experience collaborating with annotation vendors and distributed operations teams

**How To Apply**

Search Rex.zone for **"STEM Jobs in Brazil" ** to view current Remote, FULL_TIME openings. Apply with a resume highlighting engineering impact, ML-adjacent systems, data labeling or evaluation experience, and examples of improving model performance through better training data quality.

**Compensation: ** $30–$50 per hour (HOURLY).

STEM Engineer (Brazil)

**STEM Jobs in Canada (Remote, Full-Time) — Engineering Roles on Rex.zone**

Rex.zone connects engineers and technical professionals to remote, full-time roles supporting real-world AI/ML training workflows, including RLHF evaluation, data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling.

**What You Will Work On**

- Create, validate, and improve training datasets used in LLM training pipelines

- Run RLHF-style preference judgments and structured LLM evaluations

- Perform QA evaluation and prompt evaluation; diagnose failure modes and improve model performance

- Support NLP tasks (e.g., named entity recognition) and CV tasks (e.g., bounding boxes/segmentation) as needed

- Apply content safety labeling and sensitive-content handling procedures

**Key Responsibilities**

- Follow detailed labeling/evaluation specs and document edge cases

- Review/adjudicate annotations, run spot checks, and track quality metrics

- Collaborate with engineering/research stakeholders to align evaluation rubrics with product goals

- Iterate on prompts, test sets, and guideline clarity to maintain reliable, auditable pipelines

**Required Qualifications**

- Mid-Senior experience in an engineering, STEM, or technical role

- Strong analytical reasoning, attention to detail, and guideline adherence

- Comfort with structured data, taxonomies, and evaluation rubrics

- Familiarity with NLP/ML concepts and data quality practices; ability to use Python for dataset review

**Preferred**

- Experience with RLHF evaluation, data labeling, QA evaluation, prompt evaluation, NER, CV annotation, or content safety labeling

- Exposure to gold sets, inter-annotator agreement, error analysis, dataset versioning, and evaluation-driven iteration

**How To Apply**

Create or update your Rex.zone profile, highlight relevant STEM experience, and apply with a short summary of your domain strengths (NLP, CV, content safety, or evaluation).

STEM Jobs in Canada — Remote Full-Time Engineer

**About The Role**

Remote STEM Jobs in India at Rex.zone focus on applied engineering work that supports AI/ML training pipelines, including data labeling, RLHF evaluation, prompt evaluation, and QA evaluation for large language models. You will collaborate with globally distributed teams to produce high-quality training data and improve model performance across NLP, computer vision, and content safety labeling workflows.

**Key Responsibilities**

- Design and execute annotation and evaluation workflows for NLP, computer vision, and multimodal tasks

- Implement RLHF and prompt evaluation protocols using well-defined rubrics and calibration

- Define and enforce annotation guidelines compliance; maintain edge-case documentation

- Run QA evaluation audits, spot checks, inter-annotator agreement analysis, and error taxonomy tracking

- Curate datasets for named entity recognition, classification, ranking, summarization, and safety policy adherence

- Use Python and data tooling to automate checks, sampling plans, reporting, and quality metrics

**Required Qualifications**

- Mid-senior STEM/engineering background (CS, EE, math, physics, statistics, or related)

- Strong Python skills; comfort with structured and unstructured data

- Practical understanding of LLM evaluation, data labeling, and QA evaluation concepts

- Experience with NLP tasks (e.g., NER, text classification, relevance ranking, summarization)

- Ability to interpret guidelines, resolve ambiguity, and communicate asynchronously in a remote setting

**Preferred Qualifications**

- Experience with RLHF pipelines, preference ranking, or rubric-based evaluation

- Familiarity with computer vision annotation (bounding boxes, polygons, segmentation)

- Experience building quality systems (sampling, audits, calibration sessions, disagreement resolution)

- Exposure to content safety labeling or trust & safety workflows

**Compensation**

- Competitive hourly base pay: $30–$50 per hour

**How To Apply**

Visit Rex.zone and search for “Remote STEM Jobs in India” to find matching roles and apply. Highlight STEM engineering impact, Python/data tooling, and experience with data labeling, RLHF, LLM evaluation, training data quality, and annotation guidelines compliance.

Remote STEM Engineer (India) — AI/ML Data Operations

**Overview**

Remote, full-time engineering roles for mid-senior STEM graduates in the United States working on real AI/ML systems. You will help build and improve LLM training pipelines using RLHF, data labeling programs, and model evaluation/QA evaluation to drive measurable model performance improvement.

**What You Will Do**

- Design and ship ML components for LLM training pipelines

- Partner with data operations to define annotation guidelines and labeling instructions

- Build and iterate RLHF workflows (ranking, preference data, critique signals)

- Run prompt evaluation and model evaluation to diagnose failure modes

- Implement QA evaluation checks for annotation guidelines compliance

- Coordinate NLP tasks (e.g., named entity recognition, classification) and CV annotation (bounding boxes, segmentation)

- Contribute to content safety labeling policies and sampling strategies

- Track improvements via offline metrics, error analysis, and dataset/versioning practices

**Required Qualifications**

- STEM degree (or equivalent experience)

- Strong Python and software engineering fundamentals

- Hands-on ML experience in NLP and/or Computer Vision

- Familiarity with RLHF, LLM evaluation, and/or prompt evaluation concepts

- Ability to write clear specs for labeling and QA evaluation processes

**Work Setup**

Remote (US). Collaborate asynchronously with distributed teams and may interface with AI labs, startups, and annotation vendors.

**Compensation**

Base pay range: $30–$50 per hour.

STEM Degree Jobs in the United States (Remote AI/ML Engineering Role)

**About The Role**

Rex.zone is hiring a Remote Marketing Generalist based in India to execute and optimize full-funnel, multi-channel marketing programs across content, SEO, email, paid media, and social. You will partner with product and sales to drive acquisition, activation, retention, and revenue through experimentation, reporting, and iterative improvements.

**Key Responsibilities**

- Plan and launch integrated campaigns across content, SEO, email, paid, and social

- Write and publish landing pages, blog posts, email sequences, and ad copy

- Support marketing operations: UTM hygiene, CRM/marketing automation coordination, and lead routing support

- Run A/B tests for landing pages, CTAs, subject lines, and creative

- Monitor KPIs (CAC, CPL, MQL→SQL conversion, pipeline contribution, retention signals) and build clear performance readouts

- Conduct lightweight market/competitor research to improve positioning and messaging

- Maintain campaign documentation, briefs, and stakeholder updates

**Required Qualifications**

- Mid-Senior experience delivering results across multiple marketing channels

- Strong written communication for content and lifecycle messaging

- Practical knowledge of SEO fundamentals, on-page optimization, and keyword intent

- Experience supporting paid campaigns and creative iteration

- Proficiency with marketing analytics and reporting (funnels, cohorts, attribution basics)

- Comfort collaborating across time zones and managing priorities in a fast-paced environment

**Preferred Qualifications**

- Experience with B2B SaaS or product-led growth

- Familiarity with marketing automation/CRM workflows (e.g., HubSpot, Salesforce, Marketo equivalents)

- Landing page builders and basic HTML/CSS are a plus

- Comfort using AI tools for research and drafting while maintaining brand quality

**How To Apply**

Apply on Rex.zone with your resume and a brief portfolio of campaigns (links to landing pages, content samples, ads, or email sequences). Include measurable outcomes such as traffic growth, conversion lift, and pipeline impact.

Remote Marketing Generalist (India)

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