Video Data Reviewer - Remote
Job Title: Video Data Reviewer
Job Type: Contractor
Location: Remote
Job Summary
Join our customers team as a Video Data Reviewer, youll 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
ā¢ Review and refine model-generated video annotations to ensure accuracy and precision in describing hand movements and object interactions.
ā¢ Validate and correct action timing, ensuring boundaries align with the start and end of each labeled activity.
ā¢ Assess and edit captions for atomicity, confirming each label describes a single, independent action.
ā¢ Verify correct identification of left versus right hand usage in all annotated segments.
ā¢ Flag low-quality, ambiguous, or incomplete labels for rework based on project standards.
ā¢ Maintain consistent labeling quality by adhering to established annotation rubrics and structured review pipelines.
ā¢ Provide actionable feedback to help enhance annotation models, and collaborate with team leads to resolve edge cases.
Required Skills and Qualifications
ā¢ Keen visual discrimination skills and high attention to detail, especially when analyzing repetitive video content.
ā¢ Ability to maintain focus and deliver reliable quality throughout long video review sessions.
ā¢ Comfort with web-based annotation tools and time-coded video platforms.
ā¢ Strong written and verbal communication skills, ensuring clear and concise captioning and feedback.
ā¢ Demonstrated process adherence and willingness to follow detailed guidelines and incorporate prompt feedback.
ā¢ Reliable high-speed internet connection and a computer capable of smooth video playback.
ā¢ Ability to work productively and autonomously while meeting daily throughput and quality targets.
Preferred Qualifications
ā¢ Experience in video annotation, labeling, transcription, or content moderation roles.
ā¢ Familiarity with annotation software such as CVAT, Labelbox, Scale, V7, or Encord.
ā¢ Background in fields requiring precise observation of human movement (e.g., occupational therapy, kinesiology, sign language interpretation, sports analysis).
Apply tot his job
Apply To this Job
Job Type: Contractor
Location: Remote
Job Summary
Join our customers team as a Video Data Reviewer, youll 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
ā¢ Review and refine model-generated video annotations to ensure accuracy and precision in describing hand movements and object interactions.
ā¢ Validate and correct action timing, ensuring boundaries align with the start and end of each labeled activity.
ā¢ Assess and edit captions for atomicity, confirming each label describes a single, independent action.
ā¢ Verify correct identification of left versus right hand usage in all annotated segments.
ā¢ Flag low-quality, ambiguous, or incomplete labels for rework based on project standards.
ā¢ Maintain consistent labeling quality by adhering to established annotation rubrics and structured review pipelines.
ā¢ Provide actionable feedback to help enhance annotation models, and collaborate with team leads to resolve edge cases.
Required Skills and Qualifications
ā¢ Keen visual discrimination skills and high attention to detail, especially when analyzing repetitive video content.
ā¢ Ability to maintain focus and deliver reliable quality throughout long video review sessions.
ā¢ Comfort with web-based annotation tools and time-coded video platforms.
ā¢ Strong written and verbal communication skills, ensuring clear and concise captioning and feedback.
ā¢ Demonstrated process adherence and willingness to follow detailed guidelines and incorporate prompt feedback.
ā¢ Reliable high-speed internet connection and a computer capable of smooth video playback.
ā¢ Ability to work productively and autonomously while meeting daily throughput and quality targets.
Preferred Qualifications
ā¢ Experience in video annotation, labeling, transcription, or content moderation roles.
ā¢ Familiarity with annotation software such as CVAT, Labelbox, Scale, V7, or Encord.
ā¢ Background in fields requiring precise observation of human movement (e.g., occupational therapy, kinesiology, sign language interpretation, sports analysis).
Apply tot his job
Apply To this Job