Turn this role into an interview — a resume and cover letter built around what this employer wants.
AI Trainer Jobs is seeking detail-oriented contributors to generate high-quality human demonstration data by playing games and simulations under controlled conditions. You will follow session protocols and afterward complete a structured form documenting strategies, mistakes, and turning points.
Strong spatial reasoning and the ability to articulate decision-making are core requirements, as you explain why actions were chosen.
Pay: $40-45/hour
Your job is to generate high-quality human demonstration data by playing games and simulations under controlled conditions. You will follow session protocols that specify the game, the scenario, the objectives, and the annotation requirements. After each session, you fill out a structured form documenting your strategies, mistakes, and key turning points. This data is used to train and evaluate game-playing AI agents.
Strong spatial reasoning and the ability to articulate your decision-making process are the core skills here. You will often need to explain why you chose a particular action, which means you need to be reflective about your gameplay rather than purely intuitive. Experience with strategy games, puzzle games, or any genre that requires deliberate thinking is particularly valuable.
Onboarding includes a practice session where you get familiar with the annotation tools and logging workflow. After that, you receive session assignments weekly. The time commitment is flexible within project deadlines, but we ask for at least 10 hours per week.
Category: Gaming