Video Data Annotator | $7/hr Remote
Overview
Video Data Annotator. This remote contractor role supports a robotics focused annotation project to help train AI systems. You’ll apply precise labeling, scoring, and QA to real video data, using project guidelines. Your domain knowledge matters more than prior AI experience and helps shape how models understand actions and objects.
What You'll Do7
- 1Label and review robotics related video clips following detailed assignment guidelines
- 2Evaluate clips for data quality, relevance, and accuracy using the project scoring rubric
- 3Identify and tag actions, objects, and events within footage to produce thorough annotations
- 4Coordinate with the project team to resolve ambiguities and refine annotation standards
- 5Record decision notes and provide feedback to improve guideline clarity and effectiveness
- 6Run ongoing quality checks to ensure deliverables meet project requirements and timelines
- 7Submit annotations and assessments consistently within the established project deadlines
Requirements7
- 1Experience with video data annotation across multiple platforms or projects
- 2Exceptional attention to detail and a track record of high quality annotations
- 3Strong written and verbal communication for documenting findings and collaborating remotely
- 4Familiarity with robotics footage or robotics related annotation tasks is a strong plus
- 5Ability to interpret complex guidelines and scoring rubrics
- 6Understanding of AI review or QA processes in data annotation settings
- 7Self motivated, proactive problem solver with a reliable remote work routine
Who Should Apply
The ideal candidate is detail oriented, comfortable working remotely, and has hands on experience labeling video data. A background in robotics or robotics footage is a plus, but strong annotation skills and clear communication are the key drivers for success.
Salary Insight
Pay rate is $7 per hour.
Location
Required Skills
Application Tip
Review the project guidelines carefully and ask a concise clarifying question for any scoring ambiguity before you start an assignment.
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