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Data Annotator - Video Content

  • Job type Posted on: Jul 22, 2026
  • Experience level Micro1
  • Employment type New York, New York
  • Employment type Remote
  • Salary Full-time

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Job Title :

Data Annotator - Video Content

Job Type :

Full-time

Job Location :

New York New York United States

Remote :

Yes

Jobcon Logo Job Description :

Data Labeling Associate - Video Content micro1 is engaging Data Labeling Associate - Video Content experts to contribute to a high-impact project for a valued customer. 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. Role Type: Contractor Location: Remote, worldwide Scope of Work Review and annotate short first-person POV videos depicting household tasks, focusing on precise and consistent labeling. Identify and mark hamper position as left or right of the person for each video segment. Determine and tag the exact start and end frames for each pick-and-place movement within the video. Assign and record which of the seven numbered piles each clothing item is placed into. Adhere strictly to detailed annotation guidelines provided during onboarding and throughout the engagement. Maintain high quality and consistency across multiple videos within each session, ensuring accurate, actionable data for AI training. Flag ambiguous, unclear, or unusual cases for further review in accordance with project standards. Preferred Qualifications Exceptional visual discrimination skills and a keen eye for subtle details and frame-level changes. Proven ability to follow complex instructions with precision and incorporate feedback promptly. Experience with web-based video tools, such as playback controls, frame stepping, and timestamp-based interfaces. Strong focus and consistency in performing repetitive, detail-oriented tasks across multiple assignments. Reliable high-speed internet connection and a computer suitable for smooth video playback. Nice to Have (but not required) Prior experience in video annotation, data labeling, transcription, content moderation, or QA work Familiarity with any annotation platform (CVAT, Labelbox, Scale, V7, Encord, or similar) Background in roles requiring sustained attention to repetitive detail. Start Timeline & Availability We typically fill roles within 48 hours, so we're looking for teammates ready to jump in. If selected, we'd love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.

Jobcon Logo Position Details

Posted:

Jul 22, 2026

Reference Number:

14660_78B16702AF0EDEE5B8488046F01304D7

Employment:

Full-time

Salary:

Not Available

City:

New York

Job Origin:

APPCAST_CPC

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Data Labeling Associate - Video Content micro1 is engaging Data Labeling Associate - Video Content experts to contribute to a high-impact project for a valued customer. 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. Role Type: Contractor Location: Remote, worldwide Scope of Work Review and annotate short first-person POV videos depicting household tasks, focusing on precise and consistent labeling. Identify and mark hamper position as left or right of the person for each video segment. Determine and tag the exact start and end frames for each pick-and-place movement within the video. Assign and record which of the seven numbered piles each clothing item is placed into. Adhere strictly to detailed annotation guidelines provided during onboarding and throughout the engagement. Maintain high quality and consistency across multiple videos within each session, ensuring accurate, actionable data for AI training. Flag ambiguous, unclear, or unusual cases for further review in accordance with project standards. Preferred Qualifications Exceptional visual discrimination skills and a keen eye for subtle details and frame-level changes. Proven ability to follow complex instructions with precision and incorporate feedback promptly. Experience with web-based video tools, such as playback controls, frame stepping, and timestamp-based interfaces. Strong focus and consistency in performing repetitive, detail-oriented tasks across multiple assignments. Reliable high-speed internet connection and a computer suitable for smooth video playback. Nice to Have (but not required) Prior experience in video annotation, data labeling, transcription, content moderation, or QA work Familiarity with any annotation platform (CVAT, Labelbox, Scale, V7, Encord, or similar) Background in roles requiring sustained attention to repetitive detail. Start Timeline & Availability We typically fill roles within 48 hours, so we're looking for teammates ready to jump in. If selected, we'd love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.

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