Video game • phoenix az
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AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
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Data-Video Generalist (US-based).IMU (Inertial Measurement Unit).AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across d... Show more
Data-Video Generalist (US-based).IMU (Inertial Measurement Unit).AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across d... Show more
The average salary range is between $ 39,780 and $ 72,385 year , with the average salary hovering around $ 55,020 year .
The average salary range is between $ 30,713 and $ 130,000 year , with the average salary hovering around $ 47,038 year .
Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
Job Title: Data-Video Generalist
Job Type: Contractor
Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.
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:
Required Skills and Qualifications:
Compensation Structure
Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.
Start Timeline & Availability
We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.
Equipment Requirements
Mobile:
Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.
Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.
