Data Labeling Expert - Remote

YO AI Labs; Washington (District of Columbia); Remote; USD 25,000 - 55,000; Full time

Job summary

YO AI Labs is inviting a detail-oriented Video Annotation Specialist for a remote contractor role. You will review videos of robotic arms, annotate actions, and create structured datasets to support AI and machine-learning projects.

You will use annotation tools, ensure consistency, and collaborate with teammates to resolve unclear cases while meeting project guidelines and quality checks. Strong communication and time-management skills are essential.

Qualifications

• Experience in video annotation or data labeling.
• Detail-oriented with proven accuracy.
• Familiarity with video annotation tools.
• Strong written communication and collaboration skills.
• 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

Data labeling

Attention to detail

Communication skills

Time management

AI/ML/Robotics exposure

Tools

Video annotation software

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.