Video Data Reviewer - Remote

YO AI Labs; New York (NY); Remote; USD 28.000 - 48.000; Vollzeit

Zusammenfassung

YO AI Labs is seeking a remote Video Annotation Specialist contractor to review videos of robotic arms and annotate data for AI/ML projects. You will label actions and events with high accuracy, using established guidelines, and ensure consistency across the dataset.

Strong attention to detail, experience with annotation tools, and solid written communication are essential. Prior exposure to AI/ML or robotics projects is a plus, and you’ll collaborate with teammates to refine labeling quality.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Video annotation

Data labeling

Attention to detail

Time management

Written communication

Tools

Video annotation tools

Jobbeschreibung

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.