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micro125D AGO

Video Data Annotator

micro1 / Video Data Annotator

RATE

$7/HR

LOCATION

REMOTE (GLOBAL)

DESCRIPTION

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

REQUIREMENTS

  • 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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