Data labeling jobs (work from home) on Rex.zone connect annotators with AI labs, tech startups, BPOs, and annotation vendors worldwide. This search-recognizable entity is a data annotation specialist supporting RLHF, LLM training pipelines, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling. You improve training data quality, enforce annotation guidelines compliance, and drive model performance improvement across NLP, vision, and safety workflows, including large language model evaluation. Rex.zone offers remote, flexible, contract, freelance, and full-time tracks with clear specs, templates, and quality checks, letting you contribute from anywhere while building real-world ML skills and career momentum.
About the Role
Work from home as a data annotation specialist on Rex.zone, labeling text, images, audio, and video to build high-quality datasets. Tasks include named entity recognition, bounding boxes, segmentation, transcription, rating prompts and responses, and enforcing content safety policies. You will contribute to RLHF and LLM training pipelines alongside ML engineers and QA reviewers.
Key Responsibilities
Deliver training data quality, ensure annotation guidelines compliance, drive model performance improvement, and support large language model evaluation. Execute precise labeling, follow taxonomies and ontologies, document edge cases, escalate ambiguities, and collaborate in double-pass reviews. Maintain inter-annotator agreement and contribute to gold standards and audit trails.
Required Skills
Strong attention to detail, consistency, and ethical judgment. Solid reading comprehension and English fluency; multilingual skills are a plus. Familiarity with ML concepts, labeling tools, spreadsheets, and basic Python or regex for data hygiene. Ability to follow rubrics, meet SLAs, and communicate clearly. Entry-level and senior openings are available.
Workflows & Tools
Projects use platforms such as Label Studio, CVAT, Prodigy, SuperAnnotate, and custom Rex.zone workflows with templates, hotkeys, and validators. Expect QA evaluation, preference ranking for RLHF, RAG evaluation, test-set curation, calibration sessions, and feedback loops designed to improve reliability and throughput.
Employment Types & Schedules
Remote-first roles including contract, freelance, full-time, part-time, and seasonal projects. Choose flexible hours, weekday or weekend shifts, and time-zone friendly schedules. Compensation may be per-task, per-hour, or milestone-based with productivity bonuses and quality incentives.
Domains & Specializations
NLP (NER, sentiment, summarization, redaction), computer vision (bounding boxes, polygons, segmentation), content safety (policy enforcement, risk tagging), speech and audio (transcription, diarization), OCR, and LLM training and evaluation. Specialized projects include biomedical NLP, financial documents, and multilingual datasets.
Who You’ll Work With
Collaborate with AI labs, tech startups, BPOs, and annotation vendors through Rex.zone. Partner with ML engineers, research scientists, data operations teams, and product managers who rely on accurate labels to ship models and evaluate performance in production.
Compensation & Growth
Competitive rates with performance bonuses, QA reviewer tracks, and opportunities to become a team lead or project manager. Access training, calibration sessions, and certifications to broaden your scope from entry-level annotation to senior quality roles.
Apply Now
Create your profile on Rex.zone, verify identity, select domains, and complete a sample task. Review project guidelines, pass calibration, and start earning on remote, contract, freelance, or full-time engagements. Join Rex.zone to find curated data labeling jobs and grow your AI skills.
Frequently Asked Questions
Q: What does a remote data labeling job involve?
You annotate text, images, audio, and video following detailed guidelines and rubrics. Tasks span NER, bounding boxes, segmentation, transcription, prompt and response rating for RLHF, and content safety labeling to support LLM training pipelines.
Q: Do I need prior experience to apply?
Entry-level candidates are welcome. Rex.zone provides project-specific guidelines, sample tasks, and calibration to ramp you up. Senior roles expect faster throughput, higher accuracy, and leadership in QA evaluation and reviewer mentoring.
Q: Which domains can I work in?
NLP, computer vision, content safety, speech and audio, OCR, and LLM training and evaluation. Projects include named entity recognition, sentiment analysis, document classification, image annotation, and safety policy enforcement.
Q: How is quality measured and maintained?
Quality is tracked via accuracy, inter-annotator agreement, audit scores, and guideline adherence. You’ll use gold sets, double-pass reviews, calibration sessions, and feedback loops to improve reliability and consistency.
Q: What employment types and pay structures are available?
Remote roles include contract, freelance, and full-time. Compensation varies by complexity and speed, paid per hour or per task, with bonuses for quality and throughput. Some projects offer milestone payments and weekly payouts.
Q: How do I apply on Rex.zone?
Sign up on Rex.zone, complete your profile, verify identity, choose domains, and pass a sample task. Once approved, you can join projects, follow annotation guidelines, and start contributing from home.
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