Video Data Reviewer - Remote

YO AI Labs; San Francisco (CA); Teletrabalho; USD 28 000 - 55 000; Tempo integral

Resumo da oferta

YO AI Labs is seeking a detail-oriented Video Annotation Specialist to review and annotate videos of robotic arms performing various tasks. The contractor will label video content and create structured datasets to support AI and ML projects.

The role requires accuracy, good written communication, and collaboration with the team to resolve unclear cases. Experience with AI/ML or robotics projects is a plus, and remote work is supported.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Video annotation

Data labeling

Attention to detail

Written communication

Collaboration

Time management

AI/ML/Robotics projects

Ferramentas

Video annotation tools

Descrição da oferta de emprego

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.