Remote AI Data Labeling Jobs

Remote AI Data Labeling Jobs at Rex.zone connect skilled annotators with AI labs, tech startups, BPOs, and annotation vendors building production LLM and computer vision systems. These roles power the AI/ML training pipeline: data labeling, QA evaluation, prompt evaluation, RLHF (Reinforcement Learning from Human Feedback), named entity recognition, computer vision annotation, and content safety labeling to improve model performance. Work across NLP and vision tasks with clear annotation guidelines, emphasizing training data quality, annotation guidelines compliance, and large language model evaluation. Apply for freelance, contract, part-time, or full-time openings globally. Start entry-level or grow to senior QA lead and drive model performance improvement on the Rex.zone AI/ML training platform.

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Key Responsibilities

Annotate text, image, audio, and video data for NLP and computer vision tasks; execute RLHF comparisons and preference ranking; perform prompt evaluation and judge LLM outputs for correctness, safety, and style; conduct content safety labeling and policy application; run named entity recognition (NER), sentiment, intent, and topic tagging; create and follow detailed annotation guidelines; perform QA evaluation, gold set creation, and spot checks; document edge cases and escalate ambiguity; collaborate with model trainers to improve training data quality and model performance; contribute to large language model evaluation studies and A/B tests.

Required Qualifications

Fluent written English and strong reading comprehension; meticulous attention to detail; ability to learn and apply evolving labeling taxonomies; proven consistency and throughput in repetitive tasks; familiarity with annotation guidelines and annotation guidelines compliance; reliable internet and remote work setup; availability for scheduled sprints. For content safety roles: resilience and adherence to safety policies. For computer vision: basic understanding of bounding boxes, polygons, and keypoints.

Preferred Experience

Experience with data annotation platforms (e.g., Label Studio, Prodigy, SuperAnnotate); prior work in LLM evaluation, RLHF preference labeling, or human feedback loops; background in linguistics, psychology, library science, information retrieval, or QA; domain expertise in healthcare, finance, legal, or e-commerce taxonomies; experience as a QA lead or reviewer; familiarity with prompt engineering and systematic error analysis.

Tools and Platforms

Annotation tools: Label Studio, Scale-style interfaces, SuperAnnotate; Issue tracking: Jira, Notion; Productivity: Google Workspace, spreadsheets; Communication: Slack; Optional technical skills: basic Python for data inspection, regex for text normalization. All work is coordinated via the Rex.zone AI training and workforce platform.

Projects and Domains

NLP: chat moderation, summarization, reasoning, NER, sentiment, intent, classification; LLM training: RLHF preference ranking, instruction tuning, large language model evaluation; Computer vision: object detection, segmentation, OCR; Content safety: policy labeling, toxicity, misinformation, age appropriateness; Multilingual tasks where available.

Work Arrangements & Compensation

Remote-first roles across time zones; openings include freelance, contract, part-time, and full-time; both entry-level and senior QA/reviewer tracks; pay structured per-task, per-hour, or per-sprint depending on project; opportunities with AI labs, tech startups, BPOs, and annotation vendors; consistent performance can lead to reviewer and QA lead roles.

How to Apply on Rex.zone

Create a Rex.zone profile; complete a short skills check covering guidelines comprehension and sample annotations; indicate your availability and domains (NLP, computer vision, content safety); match with live projects; receive onboarding, annotation guidelines, and pay details; start contributing to model performance improvement.

Career Growth

Advance from labeler to reviewer, QA lead, and project coordinator; specialize in complex domains (medical, legal) or RLHF judgment; develop expertise in prompt evaluation, guideline design, and gold set curation; contribute feedback to improve labeling taxonomies and training pipelines.

About Rex.zone

Rex.zone is an AI/ML training platform connecting global annotators with organizations that need trustworthy training data. We focus on quality, throughput, and auditability to help teams ship safer, higher-performing models.

Quick Questions

  • Q: Who hires through Rex.zone?

    AI labs, tech startups, BPOs, and annotation vendors seeking reliable training data operations.

  • Q: What skills are most valuable?

    Detail orientation, guideline mastery, QA evaluation, and LLM output judgment for safety and correctness.

  • Q: Can I work part-time or freelance?

    Yes—remote contract, freelance, part-time, and full-time projects are available year-round.

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 Remote Data Labeling & Annotation?

Apply Now.