Function-based Code Annotator

Yes. Rex (rex.zone) focuses on cognition-heavy AI work — reasoning evaluation, prompt design, domain-specific content generation, and model benchmarking. Unlike high-volume microtask marketplaces where you click through hundreds of simple tasks, Rex prioritizes fewer, deeper tasks. The stated goal is above-industry-average rates ($25–$45/hr) in exchange for expert-level output.

Rex uses a 'Superhuman Profile' system that tracks your reliability, consistency, and task quality over time. A stronger profile unlocks higher-paying tracks and priority access to premium projects like Project EVA (in partnership with 2077AI). It functions as your reputation score — treat every task as if it affects your standing, because it does.

Task types include: RLHF and instruction-tuning dataset creation, LLM prompt and response evaluation, named entity recognition for NLP, computer vision annotation, content safety labeling, speech-to-text transcription, and red-teaming and safety evaluations. Projects vary — your assignment depends on your skills and profile tier.

Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.

This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.

This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.

Rex is the contractor brand of Remo, a remote work infrastructure company. They act as the employer of record for AI training contracts on behalf of large AI labs and data companies. Your contract is formally with Remo, not the end client.