Video Annotator

$30,000 USD/year ^{Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks}  ($15 USD/hour)

• Label student session recordings by detecting, categorizing, and timestamping behavioral events according to a comprehensive rubric
• Audit and refine LLM pre-annotations by eliminating incorrect labels, inserting overlooked events, and adjusting time markers
• Document reasoning for ambiguous decisions, referencing rubric sections and clarifying the logic applied
• Record edge cases and unresolved questions for scenarios lacking clear guidance, and maintain session metadata in an annotation log
• Participate in calibration sessions, integrate QA feedback, and adapt to rubric revisions to sustain high accuracy

• Develop AI models, conduct experiments, or perform behavioral research on students
• Alter the annotation rubric or reinterpret category criteria based on subjective judgment
• Prioritize throughput over accuracy, consistency, or temporal precision
• Handle sporadic, disconnected tasks spanning unrelated fields without context or feedback

Your primary function is to transform student session videos into labeled datasets achieving ≥95% accuracy with precise timestamps, enabling the team to reliably measure model improvements or regressions.

• A minimum of 1 year in data annotation, content moderation, QA evaluation, or comparable rubric-based assessment roles
• Excellent English comprehension with the capacity to interpret and adhere to detailed written guidelines consistently
• Capability to maintain concentration and precision during 4–6 hours of daily video review
• Skill in identifying nuanced visual and behavioral signals on-screen and applying uniform classification across multiple sessions
• Proficient written communication for documenting edge cases, reasoning, and questions requiring clarification
• Dependable internet service suitable for video streaming
• Experience reviewing, correcting, and enhancing AI or LLM-produced annotations