AI Data Labeling Jobs (Remote)

AI Data Labeling jobs at Rex.zone define a core training-data role: human annotators and evaluators who improve AI/ML systems via RLHF, prompt evaluation, QA checks, and domain-specific annotation (NER for NLP, computer vision bounding boxes/segmentation, and content safety labeling). This page connects talent with real LLM training pipelines, ensuring training data quality, annotation guidelines compliance, and measurable model performance improvement. Explore remote, contract, freelance, and full-time opportunities across AI labs, tech startups, BPOs, and annotation vendors using Rex.zone's platform to manage tasks, feedback, and quality metrics. Work asynchronously from anywhere, contribute to scalable data pipelines, and gain hands-on experience with benchmarks, inter-annotator agreement, and gold-standard review across NLP, vision, speech, and multimodal data.

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Key Responsibilities

Annotate text, image, audio, and video datasets with high fidelity; perform named entity recognition (NER), sentiment tagging, intent classification, bounding boxes, polygon segmentation, and content safety labeling; execute prompt evaluation and RLHF pairwise rankings; audit datasets for consistency and bias; maintain training data quality and annotation guidelines compliance; track inter-annotator agreement and escalate ambiguities; contribute feedback that drives model performance improvement and large language model evaluation; follow SOPs, privacy, and ethical review processes.

Required Qualifications

Detail-oriented communicator with experience using annotation tools; familiarity with NLP concepts (tokenization, NER), computer vision labeling practices, and basic LLM behaviors; strong QA evaluation skills and ability to follow instructions; reliable internet and remote work discipline; readiness to document edge cases and apply guidelines; for senior roles: taxonomy design, rubric creation, and quality control leadership.

Preferred Experience

Background in AI labs, tech startups, BPOs, or annotation vendors; exposure to RLHF workflows, prompt engineering, and LLM evaluation harnesses; comfort with spreadsheets, dashboards, and ticketing systems; basic Python or scripting helpful but not required; understanding of content safety policies, bias, fairness, and data compliance standards.

Tools & Platforms

Work with Rex.zone task orchestration, QA gates, and consensus metrics; use leading tools such as Label Studio, CVAT, and custom LLM evaluation dashboards; collaborate in knowledge bases and follow versioned guidelines; track productivity and quality via platform analytics; integrate with issue trackers and API-based data pipelines when applicable.

Work Types & Domains

Opportunities include remote full-time, part-time, contractor, freelance, temporary, and intern roles across NLP, computer vision, content safety, speech/audio, and multimodal datasets; pathways for entry-level, junior, and senior contributors; sourcing from AI labs, tech startups, BPOs, and specialized annotation vendors.

About Rex.zone

Rex.zone is an AI training platform connecting vetted annotators with high-impact projects. We provide workflow templates, annotation guidelines, consensus-based QA, and transparent metrics to support LLM training pipelines and RLHF operations. Join a global remote community focused on data quality, ethical review, and measurable model improvement.

Frequently Asked Questions

  • Q: How do I apply on Rex.zone?

    Create a profile, verify skills, complete a sample task, and opt into projects that match your domain expertise and availability.

  • Q: What does screening involve?

    Short skill checks, guideline comprehension quizzes, and a trial annotation with QA feedback to validate accuracy and consistency.

  • Q: Do I need coding experience?

    No. Coding is optional. Strong attention to detail, guideline adherence, and clear written communication are the primary requirements.

  • Q: What is a sample task?

    A small dataset where you perform NER, CV bounding boxes, or content safety labeling and receive QA comments to calibrate performance.

  • Q: How is availability scheduled?

    You set availability windows; work is assigned asynchronously, with SLAs defined per project and visible in the Rex.zone dashboard.

  • Q: How do senior roles differ?

    Senior contributors lead guideline design, resolve edge cases, define rubrics, and drive model performance improvement through QA insights.

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 Training & Annotation?

Apply Now.