remote workers — AI Data Labeling, RLHF & Evaluation (Global Remote)

Rex.zone is hiring remote workers to power AI/ML training data pipelines across data labeling, RLHF (Reinforcement Learning from Human Feedback), prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, and content safety labeling. As remote workers on Rex.zone, you’ll help improve training data quality and model performance for LLM training pipelines used by AI labs, tech startups, BPOs, and annotation vendors. This role is fully remote with contract, freelance, and full-time opportunities, from entry-level to senior. Join Rex.zone to contribute real-world impact to NLP, computer vision, and content safety at scale while working from anywhere.

About the Role

This role is designed for remote workers who specialize in creating, labeling, and evaluating high-quality datasets for modern AI systems. You will collaborate with cross-functional teams to ensure annotation guidelines compliance, execute structured evaluation of large language models, and deliver measurable model performance improvement. Projects include RLHF preference ranking, instruction and response evaluations, prompt evaluation and red-teaming, named entity recognition (NER) for NLP corpora, computer vision annotation for detection and segmentation, and content safety labeling for trust and safety workflows. Remote workers on Rex.zone deliver consistent throughput, maintain data integrity, and use annotation tools to support LLM training pipelines and enterprise AI deployments.

Key Responsibilities

As remote workers supporting Rex.zone customers, you will execute production-grade workflows that feed directly into enterprise AI models and research-grade LLMs. You’ll follow detailed annotation guidelines, calibrate quality with gold examples, adhere to inter-annotator agreement targets, and perform targeted error analysis. Your outcomes will be reviewed against measurable QA evaluation metrics and used to iterate on prompts, policies, and model tuning parameters.

Day-to-Day Workflows

Remote workers will interact with curated queues of tasks and follow SOPs designed for throughput and accuracy. You’ll receive onboarding for domain-specific policies (e.g., legal, medical, or safety), then work through progressively complex tasks with recurring calibration sessions. You will document edge cases, propose rubric refinements, and coordinate with QA leads to resolve disagreements. For RLHF and prompt evaluation, you’ll compare model outputs, justify ratings with structured rationales, and flag hallucinations and safety violations.

Required Skills

We welcome remote workers from diverse backgrounds. Strong reading comprehension, careful judgment, and reliability are essential. You should be comfortable using web-based annotation tools, following structured rubrics, and writing concise rationales. For specialized tracks (legal, medical, finance, safety), domain familiarity is highly valued.

Preferred Qualifications

While not mandatory for entry-level remote workers, the following enhance your candidacy for senior or specialized streams.

Domains and Project Types

Rex.zone coordinates projects across a broad spectrum, allowing remote workers to match their skills and interests with practical AI tasks. You may rotate between domains or specialize in one area to progress toward senior reviewer or QA lead roles.

Employment Types and Schedules

We post roles for remote workers across contract, freelance, and full-time tracks. Opportunities range from entry-level onboarding projects to senior QA lead positions. Most work is asynchronous with flexible schedules; some projects offer fixed shifts to align with customer SLAs.

Tooling and Tech Stack

Remote workers operate within secure, browser-based tools with audit logs and versioning. For some roles, lightweight scripting and data handling are helpful but not required.

Quality and Metrics

Your performance as remote workers is measured with transparent metrics. We balance speed with precision and maintain fair adjudication for disagreements. Quality insights are cycled back to improve prompts, policies, and training data quality.

Compensation and Benefits

Pay varies by domain, complexity, and seniority. Entry-level remote workers can begin with simpler classification or labeling tasks and advance to higher-rate evaluation work. Senior contributors may qualify for project bonuses tied to delivery quality and throughput. Some full-time roles include regionalized benefits and performance-based incentives.

Who Hires Through Rex.zone

Rex.zone connects remote workers with employers who require reliable AI data operations. Clients include AI labs building frontier models, tech startups validating product features, BPOs scaling annotation teams, and specialized annotation vendors delivering domain expertise. This diversity creates stable pipelines and multiple career pathways.

Career Growth and Pathways

Remote workers can advance from entry-level annotators to senior evaluators and QA leads. High performers often move into policy design, rubric authoring, and program management roles that shape model behavior and product safety. We provide structured feedback loops, calibration sessions, and opportunities to co-author SOPs.

Application Process

Applying on Rex.zone is simple. We screen for clarity, attention to detail, and alignment with responsible AI practices. Top candidates progress quickly into paid trials and onboarding cohorts. Remote workers should be ready to sign NDAs and comply with data handling policies.

Why Work at Rex.zone

Rex.zone focuses on meaningful AI work at scale. Remote workers benefit from reliable project pipelines, transparent quality metrics, and fair pay. Our platform combines navigational clarity with real-time task routing so you can find the right mix of contract, freelance, and full-time jobs. We aim for responsible AI—prioritizing safety, privacy, and inclusive data practices—so your work contributes to better models and safer products.

Location and Work Environment

This is a global remote opportunity. Remote workers can contribute from home or co-working spaces. All you need is a stable internet connection, a modern browser, and the discipline to follow SOPs. Some projects require webcam-enabled proctoring or secure desktop environments; these are clearly marked during onboarding.

Compliance, Security, and Ethics

Rex.zone implements strong privacy controls and ethical guidelines. Remote workers must follow data governance requirements, avoid conflicts of interest, and disclose relevant experience for regulated domains. We pair quality with responsibility to maintain trust with end users and customers.

How to Apply

Ready to start? Join Rex.zone and discover curated opportunities that match your skills and schedule. Remote workers can apply in minutes and begin paid trials shortly after passing skills checks. Use the link below to create your profile and receive role alerts.

Frequently Asked Questions

Q: What do remote workers do on Rex.zone?
They perform AI data operations such as data labeling, RLHF preference ranking, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling to improve training data quality and model performance.
Q: Is this remote, contract, freelance, or full-time?
All of the above. We list remote contract and freelance tasks as well as full-time roles. Entry-level and senior tracks are available across multiple domains.
Q: How do you measure quality?
Through gold tests, double-blind reviews, inter-annotator agreement, and QA evaluation checklists. We optimize for annotation guidelines compliance and downstream model performance improvement.
Q: Do I need prior AI experience for entry-level projects?
Not necessarily. For entry-level remote workers, we provide onboarding and clear rubrics. Specialized projects (e.g., medical, legal, RLHF) may require relevant background or additional training.
Q: What tools will I use?
Web-based annotation tools (e.g., Label Studio, Prodigy, CVAT) and project systems like Jira or Notion. Some roles use evaluation dashboards for large language model evaluation and RLHF preference ranking.
Q: Who hires through Rex.zone?
AI labs, tech startups, BPOs, and annotation vendors looking to scale reliable AI data pipelines with vetted remote workers.
Q: How quickly can I start?
After applying on Rex.zone and passing skills checks, many remote workers begin paid trials within days, then transition to ongoing projects.
Q: Where do I apply?
Visit https://rex.zone/apply to submit your profile, select preferred domains, and receive invitations to contract, freelance, or full-time openings.

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 Work • AI Data Operations • Annotation & Evaluation?

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