Gameplay Data Capture Specialist
Job Description
Job Title: AAA Gameplay Data Capture Specialist
Job Type: Contract {Pay Per Task Model}
Location: Remote
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities
Play a range of top-tier AAA games to systematically capture gameplay data using in-house tools.
Record, organize, and annotate game sessions with keen attention to accuracy and detail.
Collaborate closely with fellow experts and team leads, providing clear feedback and updates.
Troubleshoot and resolve technical issues related to recording and data capture workflows.
Ensure all data files are securely stored, cataloged, and transferred according to project guidelines.
Maintain regular, timely communication in both written and verbal formats with the customer's remote team.
Meet project deadlines, maintaining flexibility to adapt to evolving requirements.
Required Skills and Qualifications
Proven passion and experience with AAA games, with access to the specific titles required for the project.
Strong gameplay proficiency and ability to follow capture instructions precisely.
Excellent verbal and written communication—clear, prompt, and detail-oriented.
Well-equipped computer capable of running and recording high-end AAA games without performance issues.
Experience using gameplay recording or data capture tools (industry or proprietary experience is a plus).
Self-motivated, disciplined, and reliable in a remote work environment.
Strong problem-solving skills and adaptability in fast-paced or changing scenarios.
Mandatory Requirement: You must own a high-end gaming PC that can run the latest AAA games at high resolutions smoothly.
Preferred Qualifications
Previous experience in gameplay QA, playtesting, or data capture roles.
Familiarity with video editing or data annotation tools.
Experience working with geographically distributed teams.
We are onboarding five experts early next week (Mon-Tue)—join a select group driving the next generation of gaming insights!
About Micro1
Micro1 is building the essential infrastructure for the next generation of artificial intelligence, moving beyond the limitations of static datasets to create a dynamic ecosystem where models truly learn to think and act. At its core, the company understands that the path to frontier intelligence isn't paved with synthetic data alone; it requires the nuance, judgment, and contextual awareness that only expert human guidance can provide. By positioning itself at the intersection of human expertise and advanced reinforcement learning, Micro1 is tackling the hardest problem in AI today: teaching models not just to answer questions, but to reason through complexity and take meaningful actions in unpredictable, real-world environments.
This mission comes to life through Realm, Micro1's flagship training environment. Realm functions as a high-fidelity simulation ground where AI agents are immersed in scenarios that closely mirror the messiness of actual human workflows. Rather than relying on abstract benchmarks, Realm forces models to engage in agentic actions, multi-step decisions, digital navigation, coding, and problem-solving that require genuine comprehension. It is within these realistic sandboxes that world-class human data is generated, creating a continuous feedback loop where expert annotators observe, correct, and guide model behavior. This process does more than just fine-tune outputs; it fundamentally elevates a model's underlying reasoning architecture, ensuring that the intelligence developed in training holds up when deployed into the wild.
But training is only half the equation. Micro1 recognizes that the true test of an AI system lies in its production performance, which is where Cortex enters the picture. Cortex is a contextual evaluation platform designed to move beyond superficial accuracy metrics and provide a granular, real-time view of how agents behave in live settings. It doesn't just flag errors; it surfaces the underlying context behind failures, revealing why an agent struggled with a particular user intent or environmental variable. This insight is invaluable for engineering teams, as it transforms evaluation from a passive checkpoint into an active improvement tool. With Cortex, companies can catch degradation early, understand the nuances of edge cases, and feed those learnings directly back into Realm for retraining, creating a virtuous cycle of continuous advancement.
Ultimately, Micro1 is not merely a data lab or an evaluation tool it is a comprehensive intelligence engine that connects the entire lifecycle of model development. From the expert human feedback that sharpens raw capability, to the realistic RL environments that forge robust agentic behavior, to the contextual oversight that ensures reliability in production, Micro1 provides the integrated foundation that AI labs and enterprises desperately need. As the industry races toward truly autonomous systems, Micro1 stands as the critical bridge between laboratory breakthroughs and dependable, real-world impact, ensuring that frontier models do not just perform well on paper, but deliver genuine value in the complex, dynamic world they are meant to serve.

