$10–15/hr · micro1
Gameplay data capture specialist who plays AAA games, records sessions, and annotates gameplay data to train AI systems.
What you would do
- Play a range of AAA titles systematically while using in-house tools to record and capture gameplay sessions
- Annotate, organize, and catalog game recordings with accurate metadata, timestamps, and detailed notes
- Troubleshoot technical issues with recording software, game performance, or data transfer workflows
- Communicate progress, updates, and findings to remote team leads and fellow data capture specialists
- Maintain secure file management and ensure all gameplay data is properly stored and transferred per project standards
Who they want
- Strong passion for and hands-on experience with AAA games; must have access to specific titles required for the project
- Proven gameplay skill and ability to follow detailed capture instructions with precision and consistency
- High-end gaming PC capable of running latest AAA games at high resolution without performance degradation
- Experience with gameplay recording tools or video annotation software; familiarity with data capture workflows is valuable
- Self-motivated, reliable remote worker with clear verbal and written communication; comfortable troubleshooting technical problems independently
Main skills
What the interview asks about
1.Gameplay execution under constraints
Data capture requires playing with specific goals in mind, not just gaming casually. Specialists must follow instructions precisely to generate useful AI training data, so interviewers check if candidates can maintain focus and accuracy.
For example: “You must play 3 hours of a game focusing on stealth scenarios, recording every attempt and your decisions. How would you organize play sessions to hit diverse situations, and what notes would you capture?”
2.Data annotation and labeling
AI learns from accurately labeled data. Specialists must understand what details matter for training, catch errors in their own annotations, and maintain consistency across long sessions.
For example: “You've recorded six gameplay hours and need to annotate key moments: combat encounters, dialogue choices, resource management decisions. What annotation structure would you use to make the data useful, and how would you spot or avoid mislabeling?”
3.Technical troubleshooting under time pressure
Projects have deadlines and remote teams depend on specialists fixing their own recording glitches. Candidates must diagnose PC performance issues, codec problems, or tool failures without escalating every minor issue.
For example: “Mid-session your recording tool crashes and loses 30 minutes of footage, or your frame rate drops to 20 FPS. You have a project deadline in 24 hours. Walk through what you'd try to resolve it, and when you'd notify the team versus solving it yourself.”
4.File organization and metadata accuracy
Researchers need to find specific moments in your captured gameplay. Poor organization or missing metadata wastes research time and corrupts AI training sets.
For example: “You've captured gameplay across 12 game titles over two weeks. Describe the file structure and metadata system that lets researchers locate stealth gameplay, dialogue sequences, or player failures.”
5.Adapting to new game titles and requirements
Gameplay data capture projects evolve and introduce new games or capture parameters. Specialists must learn new titles quickly and adjust their approach without extensive handholding.
For example: “Your project adds a new AAA title with unfamiliar mechanics. You have one week to get proficient and start capturing quality data. How would you approach learning the game and identifying capture parameters?”
A task you may get
Describe how you would set up an efficient capture workflow for an AAA game: record 4-6 hours of diverse moments, annotate them, organize files, and identify and flag technical problems.
How to prepare
- Play one AAA game and identify different gameplay categories (combat, exploration, dialogue, puzzles, stealth). Practice describing specific moments.
- Research recording tools used in gameplay testing and data capture workflows. Try recording one game session yourself and practice annotating it with clear, useful labels.
- Document your PC specs and games you can run smoothly. Note performance bottlenecks and how you troubleshoot them.
- Imagine a data capture project for a new game. Sketch a file naming scheme, metadata structure, and annotation taxonomy to help researchers find gameplay patterns.
The facts
- Pay
- $10–15/hr
- Open to
- Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia
- Field
- Other
- Role type
- Specialist
- Posted
- 7/23/2026
- Places left
- 50
We wrote this page from the public micro1 listing. It may be out of date, so read the full posting before you apply.