Plays games under set session protocols and logs strategies, mistakes and turning points to train game-playing AI agents. Suits disciplined players with game QA, speedrunning or competitive backgrounds who can follow protocols.
Sobre a vaga
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.
We are looking for people who can play systematically and document their reasoning. Gaming experience is important, but so is the ability to follow protocols and produce clean annotation logs. If you have done game QA, speedrunning, or competitive gaming, those backgrounds translate well.
Sessions run 2-4 hours and are scheduled in advance. Most contributors complete 3-4 sessions per week. You will need a PC that meets minimum specs for the game engines we use (we will provide these during onboarding). A stable internet connection is required for real-time data upload.
Fonte oficial: claru.ai. Os detalhes podem mudar; vale o que diz a página da plataforma.Algo errado com esta vaga? Avise a gente.
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