
micro1Posted 2 Aug 2026
Video Data Annotator
Pay
$7/hr
Work
Remote · Contract
Experience
Mid level
Eligibility
No stated location restriction
Field
Robotics
Skills
Video Data AnnotationAI ReviewRoboticsQuality AssuranceAnnotation GuidelinesScoring Rubrics
About this role
Role Title: Video Data Annotator
Role Type: Contractor
Location: Remote
micro1 is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. 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.
Scope of Work
- Annotate and review robotics-related video footage using detailed guidelines provided for each assignment.
- Assess and score video clips for data quality, relevance, and accuracy based on a predefined scoring guide.
- Identify and label specific actions, objects, or events within video data, ensuring comprehensive and precise annotation.
- Collaborate with the micro1 project team to clarify annotation standards and resolve ambiguities in the scoring process.
- Document annotation decisions and provide feedback on the clarity and effectiveness of guidelines.
- Perform ongoing quality assurance checks to verify that annotations adhere to project requirements and deliverables.
- Deliver annotations and evaluations consistently and within set project timeframes.
Preferred Qualifications
- Mid-level experience with video data annotation across various platforms or projects.
- Demonstrated attention to detail and commitment to producing high-quality, accurate annotations.
- Strong written and verbal communication skills, with the ability to document findings and interact with team members remotely.
- Previous experience with robotics footage or robotics-related annotation tasks (heavily preferred).
- Ability to interpret and apply complex annotation guidelines and scoring rubrics.
- Familiarity with AI review processes or quality assurance in data annotation projects.
- Proactive approach to problem-solving and a self-motivated work style in a remote engagement setting.
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