Video Data Reviewer - Remote

YO AI Labs; Boston (MA); À distance; USD 28 000 - 48 000; Temps partiel

Résumé du poste

YO AI Labs is seeking a Video Annotation Specialist to review and label videos of robotic arms for AI/ML projects. This contractor role emphasizes accuracy, consistency, and collaboration across a remote team.

Responsibilities include identifying key actions, applying project guidelines, and using annotation tools to build structured datasets. Strong attention to detail and time management are essential; prior AI/robotics experience 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.

Responsabilités

• 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.

Connaissances

Video annotation

Data labeling

Attention to detail

Written communication

Collaboration

Time management

AI/ML/robotics exposure

Outils

Video annotation tools

Description du poste

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.