AI Data Labeling Jobs (Remote) — Rex.zone

AI data labeling jobs (remote) at Rex.zone connect trained annotators and evaluators with production ML pipelines. This role is an entity-focused opportunity for data annotation specialists working across RLHF, prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, content safety labeling, and LLM training pipelines. Candidates improve training data quality, ensure annotation guidelines compliance, and drive model performance improvement for NLP, vision, and multimodal systems. Apply to contract, freelance, and full-time openings with AI labs, tech startups, BPOs, and annotation vendors via Rex.zone’s hiring network. Remote onboarding, role-based workflows, and clear spec templates streamline throughput and quality for entry-level and senior contributors worldwide. Start reviewing tasks today on Rex.zone.

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About the Role

As an AI data labeling specialist, you will annotate, evaluate, and curate datasets powering LLMs and machine learning models. Typical tasks include RLHF pairwise ranking, prompt evaluation and red‑teaming, named entity recognition (NER) for NLP, computer vision annotation (bounding boxes, polygons, segmentation), content safety labeling and policy application, text/audio normalization, and dataset triage. Work inside standardized workflows integrated with Rex.zone’s project portals.

Key Responsibilities

Raise training data quality, enforce annotation guidelines compliance, and directly contribute to model performance improvement. Execute large language model evaluation (win/loss, preference, critique writing), label review and QA evaluation, taxonomy mapping, and edge-case escalation. Maintain high inter‑annotator agreement (IAA), follow SOPs, and meet throughput and accuracy targets.

Qualifications & Skills

Entry-level candidates: strong reading comprehension, detail orientation, consistency, and basic familiarity with ML concepts. Senior candidates: guideline design, taxonomy development, audit/QA leadership, reviewer mentorship, and domain expertise in NLP, computer vision, or content safety. Comfort with tools like Label Studio, CVAT, Prodigy, and custom LLM evaluation UIs is preferred. Clear written communication in English required.

Engagement Types & Availability

Remote roles across time zones with contract, freelance, and full‑time opportunities. Projects range from short sprints to long‑term engagements. Openings include entry‑level annotators, senior reviewers, QA leads, and guideline authors. Employers hiring through Rex.zone include AI labs, tech startups, BPOs, and annotation vendors.

Domains & Project Types

NLP (NER, sentiment, summarization, dialogue), computer vision (detection, segmentation, OCR), content safety labeling (policy, risk tiers), and LLM training pipelines (RLHF, prompt evaluation, red‑teaming, instruction tuning). Multimodal and speech projects are available depending on client needs.

Tools, Workflow & Quality Standards

Rex.zone integrates with Label Studio, CVAT, and secure custom portals for LLM evaluation. You will receive task specs, examples, and rubrics. Quality is measured via spot checks, double‑blind review, gold sets, and IAA metrics. Data privacy, secure access, and ethical handling standards apply to all projects.

Career Growth

Advance from annotator to senior reviewer, QA lead, guideline author, or project manager. Senior tracks include policy design for content safety, taxonomy development for NER/CV, and evaluation framework creation for LLM preference modeling and prompt evaluation.

How to Apply

Create your profile on Rex.zone, complete the skills check, and select projects aligned with your availability and domain strengths. Qualified candidates will be invited to remote onboarding and assigned tasks. Apply now to start contributing to high‑impact ML training pipelines.

Frequently Asked Questions

  • Q: What does AI data labeling involve at Rex.zone?

    You will annotate and evaluate datasets for NLP, computer vision, content safety, and LLM training. Tasks include RLHF pairwise ranking, prompt evaluation, NER, bounding boxes/segmentation, and policy‑based safety labeling, all within structured workflows.

  • Q: Is this a remote position?

    Yes. Rex.zone supports fully remote work across time zones, with role‑based access and secure portals for annotation and LLM evaluation.

  • Q: What types of employers hire through Rex.zone?

    AI labs, tech startups, research teams, BPOs, and specialist annotation vendors use Rex.zone to staff data labeling, QA evaluation, and LLM training projects.

  • Q: Do I need prior experience to apply?

    Entry‑level candidates are welcome. You should be detail‑oriented and able to follow guidelines. Senior roles require experience in QA leadership, guideline authoring, or domain expertise in NLP, computer vision, or content safety.

  • Q: How is quality measured?

    Quality is assessed through annotation guidelines compliance, inter‑annotator agreement, gold test sets, spot checks, and reviewer feedback. High accuracy and consistency are essential.

  • Q: What tools will I use?

    Depending on the project: Label Studio, CVAT, Prodigy, custom LLM evaluation UIs, and Rex.zone’s workflow integrations. Training and SOPs are provided.

  • Q: What engagement types are available?

    Remote contract, freelance, and full‑time roles are available, spanning short sprints to long‑term projects. Both entry‑level and senior openings are posted regularly on Rex.zone.

  • Q: How do I apply and start?

    Create a Rex.zone profile, complete the skills assessment, and select open roles. If matched, you’ll receive remote onboarding and project access to begin labeling or evaluation tasks.

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 AI Data Labeling?

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