Video Data Annotator - Remote

YO AI Labs; Town of Schroeppel (NY); Remote; USD 28,000 - 48,000; Full time

Job summary

YO AI Labs is seeking a Video Annotation Specialist for remote contract work. You will review videos of robotic arms performing tasks and annotate according to project guidelines.

Responsibilities include identifying actions, labeling content, using annotation tools, and maintaining consistency. Collaboration and quality checks are essential, with a focus on accuracy and timely delivery.

Qualifications

• Experience in video annotation, data labeling, or similar work.
• Excellent attention to detail and accuracy in labeling.
• Familiarity with video annotation tools and workflows.
• Strong written communication and collaboration skills.
• Good time-management and organizational abilities.
• Experience with AI, ML, 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 experience

Attention to detail

Communication

Time management

Collaboration

AI/ML/robotics exposure

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.