full remote jobs at Rex.zone — AI/ML Data, RLHF & Evaluation

Rex.zone curates and hires for full remote jobs that power AI/ML training pipelines end to end. These roles include RLHF (Reinforcement Learning from Human Feedback), data labeling for NLP and computer vision, prompt evaluation, content safety labeling, named entity recognition, and large language model evaluation. If you want remote, flexible work that directly improves training data quality, annotation guidelines compliance, and model performance improvement, our platform connects you with AI labs, tech startups, BPOs, and annotation vendors worldwide. Explore openings, learn workflows, and apply on Rex.zone to join fully distributed teams optimizing LLMs and multimodal systems through rigorous QA evaluation and human-in-the-loop processes.

About These Roles

Our full remote jobs span the data and evaluation stack: RLHF raters who compare and critique model outputs; data annotators who tag text, images, audio, and video; QA analysts who validate edge cases and adversarial prompts; and project leads who enforce annotation guidelines compliance. You’ll work asynchronously across time zones, using secure tooling to maintain training data quality and accelerate model performance improvement across LLMs, speech recognition, and computer vision systems.

Why Rex.zone

Rex.zone is a remote-first hiring hub where practitioners discover vetted full remote jobs and employers find trained evaluators. We standardize skill assessments, provide clear briefs, and integrate with popular annotation platforms to streamline onboarding and throughput. Whether you’re entry-level or a senior QA lead, our marketplace aligns your strengths to LLM training pipelines for faster impact and stable earnings.

Core Workflows & Responsibilities

Remote contributors follow documented SOPs that link human feedback to measurable model performance improvement. You’ll execute precise tasks and log rationales for reproducibility and auditability across training cycles.

Skills & Qualifications

Successful candidates for full remote jobs demonstrate meticulous attention to detail, stable connectivity, and domain knowledge aligned to each project’s ontology and policies.

Employment Types & Modifiers

These listings cover a wide range of engagement models so candidates can select the best fit for their schedule and career stage.

Domains We Hire For

Our catalog of full remote jobs spans key AI application areas across text, vision, and audio.

Impact on Model Performance

Every task is mapped to measurable outcomes such as reduced hallucination rates, improved instruction adherence, and better safety alignment. Through careful prompt evaluation, robust golden sets, and ongoing QA evaluation, your work feeds back into LLM training pipelines, materially improving model behavior at deployment.

Compensation & Benefits

We publish ranges when allowed by clients and always pay on time. Compensation varies by complexity, language, and seniority.

How to Apply on Rex.zone

Create a Rex.zone profile, complete the skills check, and opt into projects that match your availability and domain strengths. Many full remote jobs require a short qualification test to ensure guidelines comprehension and baseline quality.

Who Should Apply

These full remote jobs are ideal for detail-oriented contributors, educators, linguists, moderators, junior data analysts, and software testers looking to transition into AI/ML operations. Experienced annotators and QA leads will find leadership paths and higher-complexity projects.

Search Modifiers & Common Requirements

To help candidates navigate, our page includes popular search modifiers and FAQ-ready terms users rely on when comparing full remote jobs.

Call to Action

Ready to contribute to AI systems used by millions? Explore full remote jobs and apply on Rex.zone now. We publish new roles weekly and prioritize candidates who complete profile verification early.

Frequently Asked Questions

Q: What types of full remote jobs are available on Rex.zone?
We list RLHF raters, data labeling specialists (NLP, NER), computer vision annotators, prompt evaluation analysts, content safety reviewers, search quality raters, audio transcribers, QA leads, and remote project managers.
Q: Do I need prior experience for entry-level roles?
Not always. Many entry-level full remote jobs include a short training and a paid qualification task. You must pass guideline comprehension and consistency checks.
Q: Are roles contract or full-time?
Both. We publish contract, freelance, part-time, and full-time listings. Choose the engagement model that fits your schedule and income goals.
Q: How do you ensure training data quality?
We use golden sets, calibration sessions, double-annotation, adjudication, and inter-annotator agreement monitoring. QA leads audit outputs and track KPIs linked to model performance improvement.
Q: Is the work truly remote and worldwide?
Yes. Most roles are globally remote. Some projects require time-zone overlap, language locale expertise, or regional policy familiarity.
Q: What tools will I use?
Common tools include Label Studio, Prodigy, CVAT, and vendor-specific platforms, plus Jira/Asana for task tracking and secure browsers or sandboxes where required.
Q: How fast can I start?
Create your Rex.zone profile, pass the relevant skills quiz, and complete any required NDA. Many candidates begin project work within 1–2 weeks.
Q: What is RLHF and why does it matter?
RLHF is Reinforcement Learning from Human Feedback, where humans rate or rank model outputs. Your judgments help align LLMs with human preferences and safety policies.
Q: How does Rex.zone differ from generic job boards?
We focus on vetted AI/ML data and evaluation work, provide structured assessments, and match you to projects that fit your skills and availability.
Q: How do I stand out as a candidate?
Upload sample annotations, articulate rationales in evaluations, maintain high agreement scores, and communicate clearly about ambiguity and edge cases.

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 AI/ML Data & Evaluation?

Apply Now.