AI Data Labeling Jobs (Work From Home)

AI Data Labeling (work-from-home) at Rex.zone is a search-recognizable job entity that powers AI/ML training pipelines. You will create, review, and QA training data across RLHF tasks, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling to improve model performance. Our remote roles span full-time, contract, freelance, entry-level and senior tracks with clear annotation guidelines and quality thresholds. Working in the Rex.zone platform, you’ll contribute to large language model evaluation, instruction tuning datasets, and multimodal labeling workflows while upholding training data quality. Apply to join our network of annotators, raters, and QA specialists supporting AI labs, tech startups, BPOs, and annotation vendors.

Key Responsibilities

Execute high-quality annotations across NLP, computer vision, and multimodal tasks; follow annotation guidelines compliance standards; contribute to training data quality, dataset QA, and error analysis; perform RLHF ranking, prompt evaluation, and large language model evaluation; label entities (NER), intent, sentiment, toxicity and safety attributes; annotate images and video with bounding boxes, polygons, segmentation; audit samples for model performance improvement and consistency; collaborate with project managers to refine taxonomies; meet throughput SLAs while maintaining accuracy.

Required Qualifications

Strong attention to detail and consistency; fluent written English; familiarity with ML data concepts and labeling taxonomies; ability to follow complex instructions; experience with tools like Rex.zone, Label Studio, CVAT, or similar; comfort with JSON/CSV formats; reliable internet and work-from-home setup. Entry-level candidates welcome; senior specialists should demonstrate domain expertise (NLP, CV, safety) and quality assurance leadership.

Workflows & Domains

RLHF and instruction tuning datasets; LLM prompt and response evaluation; named entity recognition for NLP; computer vision annotation (classification, detection, segmentation); content safety labeling (policy, toxicity, bias); speech-to-text and audio tagging; OCR and document layout; multimodal image-text grounding; red-teaming and safety evaluations.

Tools & Platforms

Rex.zone labeling console and reviewer workflow; project-specific taxonomies and annotation schemas; versioned datasets in JSONL, COCO, and TSV; integrations for AI labs, tech startups, BPOs, and annotation vendors; optional Python notebooks for senior QA; analytics dashboards for throughput and quality metrics.

Employment Types & Flexibility

Remote roles available across time zones: full-time, part-time, contract, freelance, temporary, and intern opportunities. Projects vary by domain (NLP, computer vision, content safety) and complexity (entry-level to senior). Competitive rates with quality bonuses and clear acceptance criteria.

Impact & Growth

Your annotations directly improve AI model performance and reliability. Build a career path from annotator to QA lead, taxonomy designer, and workflow specialist; gain exposure to cutting-edge LLM training pipelines and evaluation frameworks used by leading AI labs.

How to Apply

Explore open roles and submit your application on Rex.zone. Create a profile, complete a brief skills assessment, and start onboarding to live projects across RLHF, NLP, computer vision, and content safety.

Frequently Asked Questions

Q: What does an AI data labeling specialist do?
They create and review structured training data for AI/ML systems across NLP, computer vision, and safety domains, following detailed guidelines to ensure accuracy and consistency.
Q: Is this a fully remote role?
Yes. Rex.zone offers work-from-home opportunities with flexible schedules across full-time, contract, freelance, temporary, and intern tracks.
Q: How does RLHF fit into this job?
You may rank model outputs, evaluate prompts and completions, and provide feedback signals that help fine-tune large language models via RLHF pipelines.
Q: What skills are required to start?
Attention to detail, ability to follow instructions, English proficiency, basic data literacy, and familiarity with annotation tools. Entry-level candidates can learn on the job with training.
Q: Which domains will I work in?
Projects span NLP (NER, sentiment, intent), computer vision (bounding boxes, segmentation), content safety labeling, multimodal image-text tasks, and LLM evaluation.
Q: How is quality measured and compensated?
We track accuracy, agreement, and guideline compliance. Rates may include base pay plus bonuses for meeting quality thresholds and throughput targets.
Q: Do you hire globally?
Yes. Rex.zone engages talent worldwide, partnering with AI labs, startups, BPOs, and annotation vendors. Country-specific compliance may apply.
Q: What tools will I use?
Rex.zone’s labeling console, reviewer workflows, and project taxonomies, plus commonly used formats like JSONL, COCO, and CSV.

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.