Video Annotation Specialist - Remote

YO AI Labs; Austin (TX); Remote; USD 28,000 - 41,000; Part time

Job summary

YO AI Labs is seeking a detail-oriented Video Annotation Specialist for a contract role focused on reviewing and annotating videos of robotic arms performing various tasks. This remote position is ideal for candidates with strong labeling skills and meticulous attention to detail.

You will use video annotation tools to create structured datasets, ensure consistency across annotations, and collaborate with teammates to resolve unclear cases. Experience with AI/ML or robotics projects is a plus.

Qualifications

• Experience in video annotation, data labeling, or similar work.
• Strong attention to detail and accuracy.
• Familiarity with video annotation tools.
• Good written communication and collaboration skills.
• Strong time-management and organizational abilities.
• Experience with AI, machine learning, or robotics projects is a plus.

Responsibilities

• Review videos and identify key actions, events, and outcomes.
• Annotate and label video content according to project guidelines.
• Use video annotation tools to create accurate, structured datasets.
• Maintain consistency and accuracy across annotations.
• Collaborate with team members to resolve unclear cases.
• Participate in quality checks and incorporate feedback.

Skills

Video annotation

Data labeling

Attention to detail

Communication

Time management

Tools

Video annotation tools

Job description

Video Annotation Specialist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for detail-oriented Video Annotation Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects.

Key Responsibilities

• Review videos and identify key actions, events, and outcomes.
• Annotate and label video content according to project guidelines.
• Use video annotation tools to create accurate, structured datasets.
• Maintain consistency and accuracy across annotations.
• Collaborate with team members to resolve unclear cases.
• Participate in quality checks and incorporate feedback.

Requirements

• Experience in video annotation, data labeling, or similar work preferred.
• Strong attention to detail and accuracy.
• Familiarity with video annotation tools.
• Good written communication and collaboration skills.
• Strong time-management and organizational abilities.
• Experience with AI, machine learning, or robotics projects is a plus.