AI Data Labeling jobs at Rex.zone connect skilled annotators and evaluators with real production AI/ML training workflows. As an AI data labeling specialist, you create and review high-fidelity annotations for text, images, audio, and video used in LLM training pipelines, RLHF (Reinforcement Learning from Human Feedback), prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, and content safety labeling. Your work drives training data quality, annotation guidelines compliance, and model performance improvement, including large language model evaluation across NLP, vision, and multimodal tasks. Explore remote, contract, freelance, and full-time openings from AI labs, tech startups, BPOs, and annotation vendors on Rex.zone.
Join projects that power next-generation AI systems. You will label, review, and audit datasets for NLP, computer vision, speech, and multimodal tasks. Work includes taxonomy design, guideline refinement, red-teaming prompts, safety reviews, and evaluation of model outputs. Roles span entry-level to senior, with pathways in quality assurance, project leadership, and domain specialization.
Execute precise annotations and reviews; maintain training data quality; ensure annotation guidelines compliance; perform model performance improvement cycles; run large language model evaluation; conduct prompt evaluation and RLHF preference comparisons; curate gold-standard sets; track inter-annotator agreement; escalate edge cases; document decisions; and collaborate with AI researchers, data engineers, and QA leads.
Strong attention to detail; ability to follow complex instructions; familiarity with NLP tasks such as text classification, summarization, NER, sentiment analysis; vision tasks like bounding boxes, polygons, segmentation; content safety labeling; basic data literacy (spreadsheets, JSON); comfort with labeling platforms (e.g., Label Studio, CVAT, Prodigy) and evaluation frameworks for LLM training pipelines. Bonus: scripting in Python, regex, prompt writing, and QA audit experience.
We offer remote roles across contract, freelance, and full-time engagements. Openings include entry-level, junior, mid, and senior. Schedules vary by project—flexible hours, fixed shifts, and sprint-based timelines—with opportunities across time zones. Senior roles may include guideline authorship, reviewer coaching, and quality program ownership.
Projects span NLP, computer vision, speech, and content safety. Typical workflows: dataset sourcing, schema design, annotation, QA evaluation, large language model evaluation, RLHF preference labeling, prompt evaluation, error analysis, and continuous feedback integration into LLM training pipelines. Safety and privacy practices are enforced across all domains.
Candidates collaborate with AI labs, tech startups, BPOs, and annotation vendors. Use cases include e-commerce categorization, fintech document parsing, healthcare de-identification, social content moderation, autonomous vision labeling, and enterprise search quality. Expect clear specs, established guidelines, and responsive project management via Rex.zone.
Competitive pay based on role, domain, and complexity. Models include hourly rates, per-task, and fixed-fee sprints. Senior and QA lead roles offer higher bands tied to accuracy, throughput, and guideline stewardship. Exact compensation is listed per opening on Rex.zone.
Create a profile, complete a short skills check, and verify work eligibility. Browse remote, contract, freelance, and full-time roles, then submit tailored applications. Showcase domain strengths (NLP, computer vision, content safety), past QA metrics, and examples of guideline improvements. Track application status directly in Rex.zone.
Annotators and evaluators produce and review structured labels for text, images, audio, and video. Tasks include named entity recognition, computer vision annotation, content safety labeling, RLHF preference ranking, prompt evaluation, QA evaluation, and large language model evaluation to improve model performance.
Yes. Most roles are 100% remote. Projects are available across time zones with options for flexible schedules, fixed shifts, and sprint-based deliverables.
We hire entry-level, junior, mid, and senior professionals. Senior candidates often lead guideline design, QA programs, and reviewer training. Entry-level roles focus on consistent, high-quality annotation under established guidelines.
Openings include NLP, computer vision, speech processing, and content safety. Many projects are part of LLM training pipelines involving RLHF, prompt evaluation, and continuous model feedback loops.
Quality is tracked through gold sets, inter-annotator agreement, sampling audits, and guideline adherence. We prioritize training data quality, annotation guidelines compliance, and measurable model performance improvement.
Include experience with labeling platforms such as Label Studio, CVAT, or Prodigy; comfort with JSON and spreadsheets; knowledge of NER, bounding boxes, segmentation, and safety taxonomies. Bonus skills: Python scripting, regex, and prompt authoring for evaluation tasks.
Rex.zone hosts roles from AI labs, tech startups, BPOs, and annotation vendors. Projects cover e-commerce, fintech, healthcare, social platforms, and enterprise AI applications.
Sign up on Rex.zone, complete the skills check, and browse live listings. Apply to remote, contract, freelance, or full-time jobs, then track progress and messages in your dashboard.
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