AI Data Labeling Job

The AI Data Labeling job at Rex.zone is an entity-focused role powering real-world AI/ML training workflows. As a data annotation specialist, you will perform RLHF tasks, QA evaluation, prompt evaluation, named entity recognition (NER), computer vision annotation, and content safety labeling—all integral to large language model training pipelines. This role supports remote, contract, freelance, and full-time opportunities across NLP, computer vision, and LLM training domains. Join Rex.zone to improve training data quality, ensure annotation guidelines compliance, and drive model performance improvement while collaborating with AI labs, tech startups, BPOs, and annotation vendors.

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Key Responsibilities

Execute high-quality data labeling across NLP, computer vision, and content safety. Perform RLHF tasks, prompt evaluation, and LLM evaluation to optimize model behavior. Apply annotation guidelines compliance, conduct QA reviews, and report issues. Contribute to training data quality, taxonomy development, and edge-case resolution. Maintain productivity targets, accuracy benchmarks, and timely delivery in remote or hybrid settings.

Required Qualifications

Experience with data labeling platforms and annotation tools (bounding boxes, polygons, text spans, sentiment). Familiarity with NER, classification, sequence tagging, and image/video annotation. Understanding of LLM training pipelines, RLHF workflows, and quality assurance. Strong attention to detail, communication, and the ability to follow structured guidelines. English proficiency; additional languages are a plus.

Preferred Skills

Background in NLP, computer vision, or content moderation. Knowledge of prompt engineering and evaluation, ontology design, and dataset curation. Exposure to large language model evaluation, model performance metrics, and error analysis. Experience with BPO operations, vendor coordination, or crowdsourcing best practices.

Workflows & Tools

Use Rex.zone’s annotation suite for text, image, video, and policy tasks. Collaborate via standardized instructions, golden sets, and inter-annotator agreement checks. Apply QA evaluation with audits, sampling, and consensus. Utilize task queues, productivity dashboards, and feedback loops for continuous improvement.

Employment Types

Opportunities include remote, contract, freelance, full-time, part-time, and entry-level to senior tracks. Roles span NLP labeling, computer vision annotation, content safety labeling, and LLM training support for AI labs, tech startups, BPOs, and annotation vendors.

Why Rex.zone

Work with a platform built for scalable AI training. Competitive rates, reliable work pipelines, and skill growth across domains. Join a global community contributing to ethical AI, model performance improvement, and production-grade data quality.

How to Apply

Submit your profile on Rex.zone with domain preferences (NLP, CV, content safety), availability (remote, freelance, full-time), and sample annotations. Qualified candidates will complete a brief skills assessment and onboarding to start receiving tasks.

AI Data Labeling Job FAQs

  • Q: What does an AI Data Labeling job involve at Rex.zone?

    You will annotate text, images, and videos; perform RLHF pairwise comparisons; evaluate prompts; conduct NER; and complete content safety labeling while following detailed guidelines and QA processes.

  • Q: Is this role remote?

    Yes. Rex.zone offers remote roles across contract, freelance, part-time, and full-time engagements, with global availability depending on project requirements.

  • Q: Which domains are available?

    We support NLP labeling, computer vision annotation, content safety moderation, and LLM training pipelines, including large language model evaluation and prompt testing.

  • Q: What skills are required to get started?

    Attention to detail, guideline compliance, familiarity with annotation tools, and basic understanding of AI/ML workflows. Entry-level applicants can learn via platform training.

  • Q: How is quality measured?

    Quality is tracked via accuracy scores, inter-annotator agreement, golden sets, audits, and sampling; QA evaluation ensures consistent training data quality.

  • Q: Who are the typical employers?

    AI labs, tech startups, BPOs, and annotation vendors use Rex.zone to source vetted labelers and manage scalable data operations.

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 Annotation?

Apply Now.