Data Annotation Jobs

Data Annotation Jobs are specialized roles within AI/ML training pipelines. At Rex.zone, data annotation specialists, data labeling experts, RLHF evaluators, and QA reviewers create high-quality training data for LLMs, NLP, computer vision, and content safety systems. Work includes prompt evaluation, named entity recognition, image/video annotation, and guideline-compliant labeling that drives model performance improvement. Explore remote, contract, freelance, and full-time opportunities with AI labs, tech startups, BPOs, and annotation vendors on Rex.zone.

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Key Responsibilities

Perform text, image, audio, and video labeling; follow annotation guidelines and taxonomies; execute RLHF pairwise/ranking evaluations; conduct prompt evaluation and response scoring; handle named entity recognition (NER), sentiment, intent, and topic tagging; annotate bounding boxes, segmentation, OCR, and keypoints for computer vision; apply content safety labeling policies; run multi-tier QA checks, consensus scoring, and inter-annotator agreement measurement; document edge cases and escalate ambiguous samples; collaborate with model engineers and QA leads to improve training data quality.

Required Qualifications

1+ year in data annotation or related QA; strong attention to detail and guideline compliance; familiarity with LLM evaluation, RLHF, and prompt scoring; experience with NER, NLP taxonomies, or computer vision labeling; ability to use annotation tools and productivity trackers; English proficiency; reliable internet for remote work; understanding of model performance metrics (accuracy, precision/recall, IAA). Entry-level applicants welcome for junior labeling tracks.

Preferred Experience

Background in linguistics, cognitive science, or ML ops; prior work with content safety policies; experience in medical, legal, finance, or e-commerce taxonomies; exposure to LLM training pipelines; scripting for labeling automation; familiarity with dataset versioning, sampling, and auditor workflows; prior BPO or vendor-side annotation experience; multilingual capability for cross-locale datasets.

Workflows at Rex.zone

Join structured pipelines spanning data intake, guideline onboarding, pilot tasks, production annotation, tiered QA, and retrospective analysis. Use standardized instructions, gold sets, and calibration sessions to maintain training data quality. Participate in feedback loops that inform model performance improvement. Roles include annotator, reviewer, lead, domain specialist (NLP, computer vision, content safety), and RLHF evaluator, with clear progression paths.

Employment Types and Domains

Openings across remote, contract, freelance, full-time, part-time, intern, and temporary roles. Domains include NLP (NER, sentiment, intent), computer vision (bounding boxes, segmentation), content safety (policy-based labeling), LLM training (prompt evaluation, RLHF), and QA evaluation. Employers span AI labs, tech startups, BPOs, and annotation vendors operating through Rex.zone.

How to Apply

Create a Rex.zone profile, complete skill assessments, and select preferred domains (NLP, CV, content safety, RLHF). Submit work samples or complete a short pilot. Indicate availability (remote, contract, full-time) and seniority (entry-level, mid, senior). Successful candidates receive invitations to active projects and vendor rosters.

Candidate Q&A

  • Q: Which tools will I use?

    You may use in-house Rex.zone tooling and common platforms for text, image, and video annotation, with productivity metrics and audit trails.

  • Q: Can I work across multiple projects?

    Yes. You can opt into multiple projects if your availability, domain skills, and quality scores meet requirements.

  • Q: What are typical schedules?

    Schedules vary by employer. Options include flexible hours for remote freelance, fixed shifts for vendor or BPO projects, and standard hours for full-time.

  • Q: Do I need prior ML experience?

    Not mandatory for entry-level labeling. Understanding AI/ML workflows, LLM evaluation, and QA processes improves candidacy for mid/senior roles.

230+Domains Covered
120K+PhD, Specialist, Experts Onboarded
50+Countries Represented

Industry-Leading Compensation

We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated—it's properly compensated.

Work Remotely, Work Freely

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks—we handle the rest.

Respect at the Core of Everything

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.

Ready to Shape the Future of Data Annotation?

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