Senior AI Trainer
Type
Hourly - Remote
Hourly rate
$30.00/hr
Hours per week
20 hrs/week (Part-time)
Estimated length
1 to 3 months
Experience level
Intermediate
Job description
Senior AI Trainer
Compensation: $21–$35 per hour
Role Type: Contractor
Work Arrangement: Remote
Location: Northern America, Latin America, Europe, UK, and OceaniaAbout the Role
We are seeking Senior AI Trainers to contribute to a specialized AI training project focused on video annotation and data labeling. In this role, you will review footage of robotic arms performing assigned tasks, identify key actions and outcomes, and create accurate annotations to help improve AI system performance.
You will work with structured annotation guidelines and video annotation tools to ensure high-quality, consistent, and precisely timestamped datasets.
Key Responsibilities
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Review video footage of robotic arms performing assigned tasks and identify key actions, transitions, and outcomes.
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Apply detailed grading guidelines to label and annotate video events accurately.
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Mark precise start and end timestamps for key actions, ensuring frame-accurate segmentation.
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Verify timestamp accuracy and correct inconsistencies between annotations and video footage.
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Use video annotation tools to document findings and submit datasets according to project standards.
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Collaborate with project trainers and contributors to resolve ambiguities and maintain consistent annotation practices.
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Participate in quality reviews and incorporate feedback to improve annotation accuracy.
Required Skills and Qualifications
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Strong attention to detail when reviewing and labeling visual data.
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Excellent written and verbal communication skills.
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Effective time management and organizational abilities.
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Strong analytical and problem-solving skills.
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Ability to work independently in a remote environment.
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Ability to follow detailed instructions and meet project deadlines.
Preferred Qualifications
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Previous experience in video annotation, data labeling, or similar projects.
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Familiarity with video annotation software and timeline-based interfaces.
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Experience with frame-level annotation, timecodes, event segmentation, or frame-by-frame video analysis.
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Background in AI training, machine learning data preparation, or robotics-related projects.
Work Environment
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Fully remote contract opportunity.
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Project-based work focused on video annotation and AI data quality.
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Collaboration with project teams to maintain annotation accuracy and consistency.
Required skills
Location
RemoteUnited States (US)
Barlow, NE21, 100 SW Main Street, Portland, Oregon (OR) 97204, United States.

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