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AI Trainer Jobs is seeking a game annotator to watch gameplay footage, identify actions, and label data for AI training. You will classify in-game actions such as movement, combat, inventory, and exploration across popular titles, using our annotation platform.
The role rewards careful, precise labeling and can fit around your schedule. Strong written English and reliable internet are essential, with experience in QA or annotation helpful but not required.
Pay: $18-28/hour
We hire game annotators to label gameplay footage and input data for AI training. You will watch recorded gameplay sessions, identify actions and events, and tag them using our annotation platform. Some projects involve labeling object interactions, player decisions, and environment changes frame-by-frame. Others focus on classifying gameplay strategies, movement patterns, and combat sequences across different game genres.
This role is a good fit if you play games regularly and can describe what is happening on screen with precision. You need to distinguish between different types of in-game actions (movement, combat, inventory management, exploration) and apply consistent labels across hundreds of clips. Previous annotation or QA experience is helpful but not required.
Most projects involve popular titles like Valorant, Minecraft, GTA V, Counter-Strike, and Genshin Impact. Sessions are self-paced and can be completed on your own schedule. We provide detailed annotation guidelines and calibration sessions before each new project.
Category: Gaming