micro1 is seeking a detail-oriented Data Labeling Associate to contribute to a high-impact project focused on training next-generation AI systems. In this fully remote role, you will apply your expertise to annotate video content, directly influencing how models learn and perform through high-quality, real-world input.
Key responsibilities
- Review and annotate short first-person POV videos depicting household tasks with high precision.
- Identify and mark specific spatial positions and tag exact start and end frames for movement sequences.
- Assign clothing items to designated piles based on project guidelines.
- Maintain strict adherence to annotation standards to ensure consistent and actionable data.
- Flag ambiguous or unusual cases for further review to uphold project quality.
Requirements
- Exceptional visual discrimination skills and a keen eye for subtle, frame-level details.
- Proven ability to follow complex instructions with high precision and incorporate feedback.
- Experience using web-based video tools, including frame stepping and timestamp-based interfaces.
- Strong focus and consistency when performing repetitive, detail-oriented tasks.
- Reliable high-speed internet connection and a computer capable of smooth video playback.
What we offer
- The opportunity to contribute to cutting-edge AI development projects.
- A fully remote work environment allowing for flexible engagement.
- Clear guidelines and onboarding to support your success in the role.