AI Data Labeling Jobs — Work From Home (Remote) | Rex.zone

AI data labeling jobs (entity: data annotation specialist) are remote roles focused on creating high-quality training datasets for machine learning and large language models. On Rex.zone, you'll annotate text, images, audio, and video, perform RLHF (Reinforcement Learning from Human Feedback), prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, and content safety labeling. The intent is to improve model performance by ensuring training data quality, following annotation guidelines, and supporting LLM training pipelines used by AI labs and startups. Explore contract, freelance, full-time, entry-level, and senior openings, apply directly on Rex.zone, and work from home with flexible schedules while contributing measurable impact to production AI systems.

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About the Role

As an AI data labeling specialist, you create structured, consistent annotations that power training and evaluation for NLP, computer vision, speech, and safety models. You will label entities, intents, sentiments, bounding boxes, polygons, transcription, and policy categories; review outputs from large language models; and contribute to RLHF and prompt evaluation to guide model behavior.

Day-to-Day Workflows

Receive clear annotation guidelines and taxonomies, perform data labeling across modalities, run QA evaluation checks, ensure inter-annotator agreement, escalate edge cases, and collaborate in feedback loops for model performance improvement. Work includes large language model evaluation, prompt evaluation, RLHF ranking, and maintaining training data quality and annotation guidelines compliance.

Required Skills

Detail orientation, reading comprehension, consistent judgment, and the ability to follow complex instructions. Familiarity with NLP and named entity recognition, computer vision concepts, content safety policies, and LLMs. Strong communication, time management, basic spreadsheet proficiency; Python or scripting knowledge is a plus. Commitment to data privacy and secure remote work practices.

Employment Types & Modifiers

Remote, work-from-home roles available as contract, freelance, full-time, and part-time. Opportunities for entry-level candidates and senior annotators, with flexible schedules and project-based engagements. Many projects support global availability and multiple time zones.

Domains & Projects

Projects span NLP (chat, NER, sentiment, intent), computer vision (object detection, segmentation), speech/ASR (transcription, labeling), content safety (policy classification), and LLM training pipelines. Tasks often include large language model evaluation, training prompt curation, and adversarial test creation.

Who Hires

AI labs, tech startups, BPOs, and specialized annotation vendors recruit for these roles. Rex.zone aggregates openings across employers and projects, streamlining discovery and application for candidates seeking remote data labeling jobs.

Quality & Impact

Your work improves model performance by elevating training data quality, driving annotation guidelines compliance, and enabling robust evaluation. Quality metrics include accuracy, consistency, inter-annotator agreement, precision/recall, and adherence to policy standards in content safety labeling.

Compensation & Benefits

Pay varies by project, domain, and seniority. Common structures include per-task, hourly, or fixed-scope contracts. Entry-level roles typically pay less than senior QA leads and taxonomy designers. Some employers offer performance bonuses for accuracy, throughput, and reliability.

How to Apply on Rex.zone

Create a candidate profile on Rex.zone, list your domain strengths (NLP, computer vision, content safety), complete a sample annotation test, and opt into RLHF and prompt evaluation pools. Browse remote openings, set job alerts, and submit applications directly to hiring teams.

Tools & Security

Work within secure web annotation tools and portals, follow data handling protocols, and use VPNs or secure browsers when required. A stable internet connection, quiet workspace, and adherence to non-disclosure agreements are essential for remote professional labeling.

Frequently Asked Questions

  • Q: What does an AI data labeling specialist do?

    They annotate and review data—text, images, audio, and video—to create training and evaluation datasets for AI models. Tasks include named entity recognition, bounding boxes, transcription, content safety labeling, LLM prompt evaluation, and RLHF ranking.

  • Q: Is this role fully remote and work-from-home?

    Yes. Most projects on Rex.zone are remote with flexible schedules. You will need reliable internet, a secure environment, and the ability to follow privacy and security protocols.

  • Q: How does RLHF fit into data labeling?

    RLHF (Reinforcement Learning from Human Feedback) involves ranking or scoring model outputs, providing preferences that guide LLM behavior. It complements classic data annotation and is used in large language model evaluation and prompt evaluation tasks.

  • Q: Which domains can I work in?

    Roles are available across NLP, computer vision, speech/ASR, and content safety. Many projects involve LLM training pipelines, prompt evaluation, and model performance improvement through rigorous QA evaluation.

  • Q: What skills are required to succeed?

    Attention to detail, consistent judgment, and strong reading comprehension. Familiarity with NLP/NER, CV annotation, safety policies, and LLMs helps. Basic spreadsheet skills and optional scripting (e.g., Python) are beneficial.

  • Q: How is quality measured?

    Teams track accuracy, consistency, inter-annotator agreement, adherence to annotation guidelines, and throughput. For content safety, policy compliance and escalation of ambiguous cases are evaluated.

  • Q: What are typical employment types and pay?

    You will find contract, freelance, full-time, and part-time roles. Compensation may be per-task or hourly and varies by domain and seniority; senior QA and taxonomy roles typically pay more than entry-level positions.

  • Q: How do I apply via Rex.zone?

    Create a profile on Rex.zone, complete a sample annotation or RLHF test, and apply to remote listings. Use job alerts to find contract, freelance, full-time, entry-level, and senior opportunities.

  • Q: Are entry-level candidates welcome?

    Yes. Many projects offer training and clear guidelines. Demonstrating reliability, careful reading, and guideline compliance helps you qualify and advance to senior or QA roles over time.

  • Q: What tools will I use?

    Secure web-based labeling platforms, internal QA dashboards, and spreadsheets. Some projects involve simple scripts for data checks. You must follow data privacy and non-disclosure requirements at all times.

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

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