Remote Video Research Analyst for AI Robotics Training

Alignerr Corp.; Fort Myers (FL); Remote; USD 27,552,000 - 41,328,000; Part time

Benefits offered by this job

Flexible remote work

Freelance-style engagement

Job summary

Alignerr Corp. is seeking Video Research Analysts to record real-world household task videos for AI training in robotics. You will work remotely, using an Android device and a specialized headset to capture structured data across recurring sessions.

The role emphasizes precision, adherence to guidelines, and long-term project participation. Ideal candidates own Android devices, are comfortable with a headset, have strong English comprehension, and can follow detailed instructions.

Qualifications

• Own an Android device and be comfortable using a project app.
• Willing to use a specialized headset for data capture (reimbursement after participation conditions are met).
• Strong English comprehension and keen eye for detail.
• Reliable, self-motivated, and able to follow structured instructions.

Responsibilities

• Record high-quality videos of yourself performing everyday household tasks (e.g., cooking, cleaning, laundry).
• Use an Android device and a specialized headset to capture structured data for AI training.
• Follow clear procedural guidelines to ensure high-quality, consistent data capture.
• Contribute to multiple robotics AI projects over recurring sessions.
• Help maintain data quality standards that shape AI model performance.

Skills

Android handling

Specialized headset usage

English comprehension

Attention to detail

Reliability

Self-motivation

Following structured instructions

Remote work capability

Tools

Android device

Specialized headset

Job description

Alignerr Corp. is seeking Video Research Analysts to record real-world household task videos for AI training in robotics. You will work remotely, using an Android device and a specialized headset to capture structured data across recurring sessions.

The role emphasizes precision, adherence to guidelines, and long-term project participation. Ideal candidates own Android devices, are comfortable with a headset, have strong English comprehension, and can follow detailed instructions.