Data Labeling Jobs — Work From Home

Data labeling jobs (entity: data annotation specialist) at Rex.zone connect remote contributors to real AI/ML training workflows. You will create and review high-quality training data for RLHF (Reinforcement Learning from Human Feedback), prompt evaluation, QA evaluation, named entity recognition (NER), content safety labeling, computer vision annotation, and LLM training pipelines. These roles directly improve model performance, ensure annotation guidelines compliance, and raise training data quality for large language model evaluation and multimodal systems. Join Rex.zone to explore remote, freelance, contract, part-time, and full-time opportunities across NLP, computer vision, and content safety for AI labs, tech startups, BPOs, and annotation vendors.

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Key Responsibilities

Label and review text, image, audio, and video data; follow annotation guidelines with high precision; perform RLHF comparisons and prompt evaluation; complete NER, sentiment, summarization, and classification tasks; execute computer vision annotation (bounding boxes, polygons, keypoints); conduct content safety labeling; deliver QA evaluation and calibration; submit feedback to improve guidelines; track throughput, accuracy, and quality metrics; collaborate with leads to improve model performance.

Required Qualifications

Strong English reading comprehension; ability to follow detailed instructions; reliable internet and computer; basic familiarity with AI/ML concepts; consistent attention to detail; ability to meet throughput and quality SLAs; professionalism in remote settings; eligibility to work as a contractor or employee as required by location.

Preferred Skills

Experience with annotation tools (e.g., Label Studio, CVAT); prior data labeling or content moderation experience; knowledge of NLP tasks (NER, POS tagging, summarization) and CV tasks (object detection, segmentation); exposure to RLHF or LLM evaluation; multilingual skills; domain knowledge in healthcare, finance, e-commerce, or safety policy.

Tools, Domains, and Workflows

Use web-based labeling platforms integrated with Rex.zone; complete task queues spanning text, images, audio, and video; contribute to LLM prompt evaluation loops; follow evidence-based quality rubrics; participate in calibration rounds; support content safety policies; enable training data quality pipelines for AI labs, startups, BPOs, and annotation vendors.

Work Arrangements

Remote-first roles with flexible schedules; opportunities include contract, freelance, part-time, full-time, temporary, and entry-level to senior tracks; projects span NLP, computer vision, and content safety; some roles offer weekend or shift-based work; global applicants welcome where legally permitted.

Compensation and Growth

Compensation may be task-based or hourly depending on project and region; performance bonuses for top quality and throughput; clear advancement paths from annotator to reviewer, QA lead, and project manager; ongoing training on guidelines, safety policy, and advanced LLM evaluation techniques.

How to Apply on Rex.zone

Create a Rex.zone profile; complete skills screening and sample tasks; select preferred domains (NLP, CV, content safety); indicate availability (remote, contract, full-time, freelance); match to projects from AI labs, tech startups, BPOs, and annotation vendors; start labeling and track quality metrics in your dashboard.

Frequently Asked Questions

  • Q: How does RLHF work in labeling?

    Annotators compare multiple model outputs, assign preferences, and explain rationale. These signals train reward models that guide large language model optimization.

  • Q: What does annotation guidelines compliance mean?

    It means following examples, edge cases, and policy notes precisely to ensure consistent labels and reproducible training data quality across annotators.

  • Q: How do labels improve model performance?

    Accurate, consistent labels reduce noise, enable better generalization, and directly lift evaluation metrics for both supervised learning and LLM alignment.

  • Q: Which employers use Rex.zone?

    AI labs, tech startups, BPOs, and specialist annotation vendors source remote, contract, and full-time labelers via Rex.zone’s AI training platform.

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 & Labeling?

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