$30–$49 per hour 100% remote Part-time Fully flexible schedule Review AI-generated outputs and source materials, then explain your judgments clearly and consistently. AI companies need professionals to check AI-generated outputs against real source materials and written guidelines. Assess each model output against the project's rubrics, record evidence-based judgments, and explain the reasons behind them. Apply the same standards across repeated review tasks and communicate each decision clearly. This is that work, done remotely around your schedule. What you'll do Assess each model output against the project's rubrics Compare source materials with AI outputs using written guidelines Record evidence-based judgments for repeated review tasks State clearly the reason for each decision Why this is worth your time Get paid $30–$49 an hour Use your professional judgment on real AI output review tasks Choose your own hours during the one- to three-month project period Fully remote and flexible, no fixed shifts, no commute Who this is for Professional work experience of any kind, such as business, technology or operations Hands-on experience with ChatGPT or similar AI tools, strong digital skills, and confidence working across online platforms and applications Professional fluency in English Strong analytical and problem-solving skills, attention to detail, written communication and documentation skills Willing to make approved real-world purchases and cancellations with your own payment method, which the project reimburses No experience in AI training work needed. Pay and details $30–$49 per hour, paid hourly as an independent contractor Part-time, flexible schedule; fully remote, United States How to apply Apply on OpenTrain (about two minutes). Complete the application on the hiring platform. If shortlisted, take a short AI interview. Ready to evaluate AI outputs and explain your judgments clearly? Apply today. About OpenTrain AI OpenTrain AI connects experienced professionals with paid, part-time AI training work: shaping and improving the AI systems that companies are building right now.