Data Labeling Jobs Online

Data labeling jobs online at Rex.zone recruit data annotation specialists to improve AI/ML systems through RLHF (Reinforcement Learning from Human Feedback), QA evaluation, prompt evaluation, named entity recognition (NER), computer vision annotation, and content safety labeling. This job entity focuses on training data quality, annotation guidelines compliance, and model performance improvement across LLM training pipelines and large language model evaluation. Candidates contribute to NLP, CV, and safety datasets for AI labs, tech startups, BPOs, and annotation vendors. Explore remote, contract, freelance, or full-time roles spanning entry-level to senior. Rex.zone is your navigational hub to discover vetted projects, standardized workflows, and scalable careers in professional data labeling.

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About the Role

As a data labeling professional, you will annotate text, images, audio, and video to create reliable training datasets. You will apply domain-specific taxonomies and guidelines to support NLP tasks (NER, entity linking, sentiment), computer vision tasks (bounding boxes, polygons, segmentation), and LLM evaluation (prompt evaluation, preference ratings for RLHF, content safety labeling). Your work ensures training data quality, annotation guidelines compliance, and measurable model performance improvement.

Key Responsibilities

Execute precise annotations across modalities; follow project-specific schemas and definitions; perform QA evaluation and error triage; conduct large language model evaluation and prompt evaluation; verify content safety against policy frameworks; document edge cases; contribute to taxonomy refinements; collaborate with reviewers and project managers; maintain throughput, accuracy, and consistency targets; use Rex.zone workflows to track assignments, audits, and revisions.

Required Skills

Strong attention to detail and consistency; familiarity with annotation tools (bounding box, polygon, timeline, span tagging); comprehension of NER and entity normalization; basic understanding of LLM training pipelines and RLHF; ability to follow annotation guidelines; English proficiency (additional languages a plus); comfort with QA rubrics, inter-annotator agreement, and feedback loops; baseline data privacy awareness. Senior roles may require domain expertise in NLP, computer vision, or content safety.

Domains & Specializations

NLP labeling: named entity recognition, entity linking, sentiment analysis, intent classification, text QA. Computer vision annotation: detection, segmentation, OCR, keypoint labeling. Content safety: policy classification, toxicity detection, red-teaming, adversarial testing. LLM training: conversation rating, preference collection for RLHF, prompt evaluation, hallucination detection, model performance evaluation. Industry contexts include AI labs, tech startups, BPOs, and annotation vendors.

Work Arrangements & Compensation

Roles include remote, contract, freelance, and full-time opportunities, covering entry-level through senior positions. Compensation varies by project complexity, domain specialization, and throughput metrics. Projects may be paid per task, per hour, or per milestone, with bonus incentives tied to QA scores, accuracy, and turnaround time.

Tools & Platform

Rex.zone provides standardized annotation templates, clear instruction guidelines, integrated QA checks, and performance dashboards. Tooling supports span tagging, label taxonomies, polygon and bounding box editors, audio transcription timelines, and workflow automation with audit trails. Integrations enable transparent communication, dispute resolution, and training modules for new projects.

Why Rex.zone

Rex.zone connects talent with high-quality data labeling projects, ensures clear guidelines, and maintains rigorous QA evaluation. The platform supports scalable career development, from entry-level onboarding to senior reviewer tracks, enabling consistent training data quality and sustained model performance improvement for enterprise AI programs.

How to Apply

Create a Rex.zone profile, list your modalities (text, image, audio, video), indicate availability (remote, contract, freelance, full-time), select domains (NLP, computer vision, content safety, LLM training), and complete calibration tasks. Successful candidates are invited to active projects based on accuracy, speed, and guideline compliance.

Frequently Asked Questions

  • Q: What does a data labeling job involve?

    It involves annotating datasets used to train and evaluate AI models. Tasks include named entity recognition, bounding box and polygon labeling, sentiment and intent tagging, content safety classification, prompt evaluation, and RLHF preference ratings for large language model evaluation.

  • Q: Who can apply and are remote roles available?

    Both entry-level and senior professionals can apply. Remote, contract, freelance, and full-time roles are available globally. Senior roles may include reviewer or lead positions overseeing QA evaluation and guideline updates.

  • Q: What tools will I use on Rex.zone?

    You will use Rex.zone’s annotation interfaces for span tagging, entity linking, bounding boxes, polygons, segmentation, audio transcription timelines, and integrated QA dashboards. The platform enforces annotation guidelines compliance and tracks training data quality.

  • Q: How is compensation structured?

    Compensation can be per task, hourly, or milestone-based. Rates depend on domain specialization (NLP, computer vision, content safety), complexity, throughput, and QA scores. Bonus incentives are offered for high accuracy and timely delivery.

  • Q: Is training provided before projects?

    Yes. Rex.zone offers calibration tasks, guideline walk-throughs, and sample datasets. You must pass accuracy thresholds and inter-annotator agreement checks before you start production work.

  • Q: What is RLHF and how does it relate to these roles?

    RLHF is Reinforcement Learning from Human Feedback. Annotators provide preference ratings and qualitative feedback on model outputs, which are used to fine-tune LLMs and improve model performance in real-world workflows.

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.

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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.

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