Web Development Expert, Part-Time AI Evaluation - Remote (United States)
OpenTrain AI• Up to $105 per hour
• 100% remote
• Part-time independent contractor
• 20 or more hours a week, you choose when
Judge how AI models answer real web development questions, and explain what a seasoned developer would ship.
AI training is human review that helps AI systems improve. Subject-matter experts create realistic examples, assess model outputs, and explain what is accurate, useful, and safe. OpenTrain AI evaluates applicants on relevant skills and experience.
## What you will do
• Write web development prompts based on real project work.
• Review model answers and code for correctness and good practice.
• Explain bugs, gaps and better approaches in plain writing.
• Research topics on your own, with flexible hours.
## Why this is worth your time
• Up to $105 per hour on part-time AI evaluation projects.
• Review AI-generated work and provide structured feedback using your professional expertise.
• Fully remote and flexible, no fixed shifts, no commute
• Turn specialist knowledge into feedback that improves model quality.
## Who this is for
• Experience: four or more years of professional web development.
• Skills: strong judgment when reviewing generated answers and clear prompt writing.
• Work style: comfortable working and researching on your own.
• Language: Professional English.
• No AI experience needed.
## Pay and details
• Up to $105 per hour as an independent contractor.
• Part-time, flexible schedule; fully remote, United States
## How to apply
1. Apply on OpenTrain with your resume: https://app.opentrain.ai/api/out/cmw3tuoal00db08l37gr5br07?ch=qajobsboard&sub=p_9a5d092115a5
2. Complete the application on the hiring platform.
3. If shortlisted, take a conversational AI interview with technical questions and a coding challenge, whenever it suits you.
This is specialist work you can do remotely, on flexible hours.
## About OpenTrain AI
OpenTrain AI connects experienced professionals with paid, part-time AI training and data-labeling work. Contributors review and improve examples that help AI systems produce useful content.