Data Labeling Specialist (Remote, Contract & Full-time) — Rex.zone

Rex.zone is hiring a Data Labeling Specialist—an applied data annotation professional who creates high-quality training datasets for AI/ML. This job entity spans RLHF, prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, content safety labeling, and large language model evaluation. Your work feeds LLM training pipelines and model fine-tuning, ensuring training data quality and annotation guidelines compliance that drive model performance improvement. Join Rex.zone to label text, images, audio, and conversations for NLP, CV, and safety systems across remote, contract, freelance, and full-time openings. Apply to contribute precise annotations that power production AI for labs, startups, BPOs, and annotation vendors.

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About the Role

As a Data Labeling Specialist, you produce accurate annotations that enable supervised learning, RLHF experiments, and evaluation of large language models. You will work across modalities (text, image, audio, video) following detailed taxonomies and ontologies to deliver consistent labels at scale for Rex.zone partners.

Workflows & Tools

You will execute structured labeling workflows: intake, guideline calibration, pilot runs, production labeling, QA evaluation, and corrective actions. Typical tasks include NER tagging, bounding boxes, segmentation, classification, sentiment, toxicity, and prompt evaluation that feeds LLM training pipelines and red-team safety checks.

Key Responsibilities

Apply annotation guidelines compliance across datasets; perform multi-pass review for training data quality; run inter-annotator agreement checks; document edge cases; escalate ambiguous examples; contribute to prompt evaluation for RLHF; produce detailed labeling notes that support model performance improvement and large language model evaluation.

Qualifications

Detail-oriented, organized, and comfortable with structured guidelines; ability to follow instructions and handle sensitive content; familiarity with basic ML/AI concepts; strong written communication; experience in NLP or computer vision annotation is a plus; multilingual capability and prior content safety labeling beneficial. Entry-level to senior applications welcome.

Domains We Label

NLP (named entity recognition, sentiment, intent, summarization), computer vision annotation (classification, detection, segmentation), content safety labeling (toxicity, harassment, policy violations), LLM training pipelines (prompt evaluation, preference ranking, RLHF), and enterprise QA evaluation for model reliability.

Employment Types & Locations

Openings include remote, contract, freelance, and full-time roles. Opportunities exist at AI labs, tech startups, BPOs, and annotation vendors through Rex.zone. We hire both entry-level and senior contributors, with paths to reviewer, lead, and quality specialist tracks.

Impact & Growth

Your work directly improves training data quality and model performance improvement, enabling safer, more reliable AI systems. Grow into guideline design, labeling operations, and evaluation engineering, influencing large language model evaluation and production ML outcomes.

How to Apply

Create a candidate profile on Rex.zone, share relevant experience, language skills, and domain interests (NLP, CV, content safety, LLM training). Submit sample annotations or portfolios if available. Our team will match you with remote, contract, freelance, and full-time projects.

Frequently Asked Questions

  • Q: What does a Data Labeling Specialist do at Rex.zone?

    You produce accurate annotations (text, image, audio, video) that fuel supervised learning, RLHF workflows, and QA evaluation, ensuring training data quality and guideline adherence for AI labs and enterprises.

  • Q: Is this role remote and open to contract or freelance?

    Yes. We offer remote, contract, freelance, and full-time options. Roles range from entry-level to senior, with reviewer and quality lead paths.

  • Q: Which domains are available?

    NLP (NER, sentiment, intent), computer vision annotation (classification, detection, segmentation), content safety labeling, and LLM training pipelines including prompt evaluation and preference ranking.

  • Q: How is quality measured?

    We use annotation guidelines compliance, inter-annotator agreement, spot checks, gold sets, and structured QA evaluation. Feedback loops improve consistency and model performance.

  • Q: Do I need prior experience?

    Experience helps, but entry-level candidates can qualify by demonstrating detail orientation, fast learning of guidelines, and consistent labeling accuracy. Training and pilots are provided.

  • Q: Who are the typical employers?

    AI labs, tech startups, BPOs, and annotation vendors. Rex.zone matches you to projects based on skills, languages, availability, and domain preferences.

  • Q: What skills increase my chances?

    Multilingual labeling, familiarity with ML basics, clear documentation, comfort with sensitive content, and experience in NER, CV tasks, and content safety. Strong communication and reliability are key.

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 Data Labeling?

Apply Now.