Data Labeling Remote Jobs

Data labeling remote jobs at Rex.zone connect skilled annotators with AI labs, tech startups, BPOs, and annotation vendors building high‑quality training datasets. This role entity—data labeling specialist—supports LLM training pipelines, RLHF, QA evaluation, prompt evaluation, named entity recognition (NLP), computer vision annotation, and content safety labeling. Our jobs focus on training data quality, annotation guidelines compliance, and measurable model performance improvement, including large language model evaluation. Apply to remote, contract, freelance, full‑time, entry‑level, and senior openings across domains like NLP, computer vision, and trust & safety. Explore and apply on Rex.zone to join scalable workflows, fair rates, and verifiable quality metrics.

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About the Role

As a data labeling specialist, you will create structured annotations that power machine learning systems across NLP, computer vision, and content safety. You will work within Rex.zone pipelines to convert unstructured inputs into labeled data, enabling supervised learning, instruction tuning, RLHF, and evaluation tasks for large language models. Projects range from NER tagging and intent classification to image/video bounding boxes, segmentation, and safety policy enforcement.

Key Responsibilities

Produce consistent labels by following detailed annotation guidelines; run QA evaluation and participate in calibration sessions; perform prompt evaluation and preference ranking for RLHF; complete named entity recognition, taxonomy mapping, and ontology alignment; annotate images and videos with boxes, polygons, and keypoints; audit training data quality and document edge cases; collaborate with ML engineers to drive model performance improvement; contribute to large language model evaluation, red-teaming, and content safety labeling.

Required Skills

Proven attention to detail and ability to follow annotation guidelines; familiarity with NLP concepts (tokenization, entities, intents), computer vision tasks (detection, segmentation), and trust & safety policies; experience with QA workflows, inter-annotator agreement, and gold standard tests; comfort with JSON/CSV and annotation tools; strong communication in English; understanding of LLM training pipelines, RLHF, and prompt evaluation; reliability in remote, deadline-driven environments.

Domains & Projects

NLP: named entity recognition, sentiment, intent, topic classification, summarization evaluation; Computer Vision: image classification, object detection, instance segmentation, keypoint labeling; Content Safety: policy-based moderation, sensitive content classification, adversarial red-teaming; LLM Tasks: instruction tuning curation, preference ranking, chain-of-thought review, large language model evaluation and QA.

Employment Types & Employers

Openings include remote, contract, freelance, and full-time roles spanning entry-level to senior. Employers on Rex.zone include AI labs scaling RLHF teams, tech startups refining product models, BPOs managing high-volume annotation, and specialized annotation vendors delivering domain-specific datasets. Global schedules and flexible shifts are available across time zones.

Compensation & Benefits

Rates vary by domain and seniority: general labeling often ranges from $15–$35/hour, specialized RLHF and LLM evaluation from $25–$60/hour, with fixed-price batches and performance bonuses available. Rex.zone offers transparent scopes, quality-linked incentives, and repeat engagements for annotators who consistently meet acceptance criteria and quality thresholds.

Workflow & Quality Assurance

Projects include clear annotation guidelines, calibration rounds, gold set seeding, and consensus checks. QA evaluation ensures training data quality via spot checks, dispute resolution, and inter-annotator agreement tracking. Acceptance criteria detail precision, recall, F1, and error taxonomy review. Closed-loop feedback improves labeling throughput and accuracy, enabling measurable model performance improvement.

Tools & Platforms

Common tools include Label Studio, Prodigy, SuperAnnotate, CVAT, and custom Rex.zone workflows. You may work with JSON schemas, task queues, instruction templates, and evaluator dashboards for prompt evaluation and RLHF. Secure data handling and policy compliance are enforced across all projects.

How to Apply on Rex.zone

Create a profile on Rex.zone, select domains of interest (NLP, computer vision, content safety, LLM training), and complete skills verification. Qualified candidates receive project invitations, paid trials, and ongoing contracts. Bookmark Rex.zone to explore remote, contract, freelance, full-time, entry-level, and senior jobs and to track applications and performance metrics.

Frequently Asked Questions

  • Q: What is a data labeling remote job?

    It is a role where annotators label text, images, audio, or video from home using online tools, producing structured datasets for supervised learning, RLHF, and model evaluation. At Rex.zone, these projects feed directly into AI/ML pipelines.

  • Q: Which domains are available?

    You can find NLP (NER, sentiment, intent), computer vision (detection, segmentation), and content safety labeling, plus LLM-specific tasks such as prompt evaluation, preference ranking, and large language model evaluation.

  • Q: How is quality measured?

    Quality is tracked via annotation guidelines compliance, inter-annotator agreement, gold set accuracy, and QA evaluation. Metrics include precision, recall, F1, error rate, and consistency across batches.

  • Q: What experience is required for entry-level?

    Entry-level roles require attention to detail, English proficiency, and the ability to follow guidelines. Rex.zone provides calibration tasks and training materials to help newcomers ramp up.

  • Q: What tools will I use?

    Most projects use Label Studio, Prodigy, CVAT, SuperAnnotate, or Rex.zone’s built-in pipelines. You will work with standardized schemas, task queues, and QA dashboards.

  • Q: How does compensation work?

    Pay is hourly or per-task depending on the project. Specialized tasks (RLHF, LLM evaluation) typically pay higher. Bonuses may be awarded for consistent quality and throughput.

  • Q: Is this global and remote?

    Yes. Rex.zone offers global, remote jobs with flexible schedules. Some projects have language or regional requirements for content safety policies.

  • Q: How do I apply?

    Create your account on Rex.zone, complete skill checks, and opt into talent pools. You will receive project invites, paid trials, and ongoing roles that match your domain expertise.

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.

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