YO AI Labs
AI Data Trainer - Remote
Austin, Georgia, US
Role snapshot
YO AI Labs is hiring a AI Data Trainer - Remote on a full-time basis. This is a remote role open to candidates in US.
- Company
- YO AI Labs
- Location
- Austin, Georgia, US
- Work mode
- Remote
- Job type
- Full-time
- Posted
- Oct 19, 2026
Who this role suits
The listing does not state a required experience level here. Read the requirements in the description below and apply if they match your background.
How to prepare your application
- Match your résumé to the requirements in the description, using the same wording where it is honest to do so.
- Prepare a short example for each requirement you meet, and be ready to explain any you only partly meet.
- Read what YO AI Labs publishes about its product or team, so you can say clearly why this role and this company.
- For remote roles, show that you communicate clearly in writing and can work without close supervision.
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About the role
Job Description
Job Description
Senior AI Trainer
Role Type: Contractor, Remote
Location: North America, Latin America, Europe, UK, Oceania
We're seeking Senior AI Trainers to support a customer project focused on improving AI systems through expert-level video annotation and data labeling. You'll review robotic-arm footage, create precise annotations, and provide high-quality data to support AI model training. No prior AI experience is required.
Key Responsibilities- Review robotic-arm videos and identify key actions, events, and outcomes.
- Apply detailed guidelines to tag and annotate video events accurately.
- Mark precise start and end timestamps for actions, transitions, and outcomes.
- Verify annotations for timing accuracy and correct inconsistencies or drift.
- Use video annotation tools to create and submit high-quality datasets.
- Collaborate with project teams to resolve ambiguities and maintain annotation consistency.
- Participate in quality reviews and incorporate feedback to maintain standards.
- Exceptional attention to detail and accuracy when reviewing visual data.
- Strong written and verbal communication skills.
- Excellent time management and ability to work independently in a remote environment.
- Analytical and problem-solving mindset.
- Experience in video annotation, data labeling, or similar projects.
- Familiarity with video annotation and timeline-based labeling tools.
- Experience with frame-level or timecode-based annotation.
- Background in AI training, machine learning data preparation, or robotics is strongly preferred.