Video Annotation Expert

About Open Train

Open Train AI is the hiring and contracting organization for this role. Open Train helps people build careers in AI training and data labeling, connecting contributors with projects where human expertise improves how artificial intelligence works.

• Remote contractor opportunity
• 30 openings available
• Project expected to run for 3 to 6 months
• Pay of $15-$20 per hour

AI training is the human side of building modern artificial intelligence. People review, label, and evaluate examples so AI systems can learn to recognize actions, interpret visual information, and respond more accurately to real-world data.

Video annotation work is part of this fast-growing field. By validating action labels and hand-pose information, you will help improve the quality of datasets used to train and evaluate next-generation AI systems.

• Work with video data and annotation quality standards
• Contribute to action recognition and video understanding
• Help improve computer vision AI systems

Open Train AI is seeking detail-oriented Video Annotation Experts to review, validate, and improve annotations across diverse video datasets. You will focus on accuracy, consistency, completeness, action annotations, and hand‑pose data.

This is a remote contractor role for candidates who are fluent in English and based in one of the eligible countries. No prior experience in AI is required, while experience with video labeling workflows and video understanding or computer vision AI expertise is required.

• Employment type:
  
  Contractor
• Work arrangement:
  Remote
• Language:
  English
• Experience level:
  Expert
• Pay: $15-$20 per hour

• Review video annotations for accuracy, consistency, and completeness across diverse datasets.
• Identify and tag quality issues or discrepancies in action annotations and hand‑pose data.
• Make precise corrections to improve overall annotation quality.
• Evaluate English-language action annotations against established guidelines.
• Assess and validate hand‑pose data using detailed quality standards.
• Provide concise written feedback on annotation issues and suggest improvements to guidelines.
• Document findings, corrections, and recommendations using standardized formats.
• Follow detailed project instructions and meet agreed project deadlines.

You should bring exceptional attention to detail and a methodical approach to reviewing video data. The role requires comfort working in English, fluent English proficiency, and the ability to work independently in a remote setting.

Experience or familiarity with video annotation tools, video labeling workflows, large-scale video datasets, action recognition, hand‑pose analysis, or related annotation projects is valuable. Strong communication skills and consistent adherence to quality guidelines are important.

• Experience with video labeling workflows
• Video understanding and computer vision AI subject matter expertise
• Exceptional attention to detail
• Strong English reading and writing skills
• Clear written and verbal communication
• Ability to follow detailed quality standards and project instructions
• Self‑motivated, organized, and able to manage deliverables independently
• Ability to work remotely and meet agreed project deadlines

Applicants must be based in one of the following countries:
United States, United Kingdom, Mexico, Brazil, Spain, Turkey, India, Sri Lanka, Germany, Netherlands, Finland, Iceland, Greece, Argentina, Philippines, South Korea, Japan, Australia, Austria, Belgium, Chile, Canada, Colombia, Czech Republic, Denmark, France, Italy, or Jordan.

• Candidates must be fluent in English.
• The project is not open worldwide.