About the Role
What if your daily routine — making coffee, opening doors, sorting groceries — could help teach the next generation of robots how to interact with the real world? We're looking for Robotics Technicians to record short videos of everyday tasks that serve as critical training data for AI-powered robots.
This is a fully remote, flexible contract role. No robotics background, no technical degree, no special equipment required — just a smartphone or camera, a reliable internet connection, and the willingness to follow clear recording guidelines.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Record video of yourself performing everyday household or workplace tasks — from picking up objects to opening containers and navigating spaces
- Follow detailed recording guidelines covering camera angles, lighting, and task sequences to ensure high-quality, usable footage
- Capture natural interactions with common objects, surfaces, and environments
- Upload completed recordings and fill out simple metadata forms describing each task
- Maintain consistent quality and pacing across multiple recording sessions
- Work independently on your own schedule — no fixed shifts or mandatory availability windows
Who You Are
- Access to a smartphone or camera capable of recording clear video
- Comfortable following structured, step-by-step recording instructions
- Reliable internet connection for uploading video files
- Self-motivated and consistent — you take task quality seriously
- No technical background, robotics experience, or prior AI work required
Nice to Have
- Experience with video recording, content creation, or media production
- Familiarity with task documentation or annotation workflows
- Access to a variety of home or workspace environments for diverse footage
Why Join Us
- Work on cutting-edge robotics and AI projects alongside leading research labs
- Fully remote and flexible — record on your own time, from your own space
- Freelance autonomy with clear, structured task-based work
- Make a direct, tangible contribution to how robots learn to understand and navigate the physical world
- Potential for ongoing work and contract extension as new projects launch