Video Data Annotation Specialist for AI Training

Video Data Annotation Specialist for AI Training

Full-Time 25000 - 30000 Β£ / year (est.) No working from home possible
micro1

At a Glance

  • Tasks: Annotate video clips to enhance AI systems with precise timestamps and clear descriptions.
  • Company: Join micro1, a forward-thinking company focused on AI innovation.
  • Benefits: Flexible remote work, competitive pay, and the chance to learn about AI.
  • Other info: Be part of a supportive, distributed team with exciting project milestones.
  • Why this job: Make a real difference in AI development while working from anywhere.
  • Qualifications: Attention to detail and a passion for technology; no prior AI experience needed.

The predicted salary is between 25000 - 30000 Β£ per year.

micro1 is seeking AI Data Annotation Experts to contribute to a client-driven project focused on improving AI systems through video data labeling.

You'll review short video clips, annotate events with precise timestamps, and craft clear descriptions.

No prior AI experience required; domain knowledge matters.

Join a distributed, remote-friendly team and meet project milestones through accurate, detail-oriented work and rigorous annotation protocols.

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Video Data Annotation Specialist for AI Training employer: micro1

At micro1, we pride ourselves on being an exceptional employer that empowers our Physics Experts to contribute meaningfully to the future of AI. Our remote work culture fosters flexibility and collaboration across the US, Canada, and the UK, while offering competitive pay and opportunities for professional growth in a cutting-edge field. Join us to leverage your expertise in a supportive environment that values innovation and aims to make a significant impact on how AI systems learn and perform.

micro1

Contact Details:

micro1 Recruitment Team

We think you need these skills to ace Video Data Annotation Specialist for AI Training

Video Data Annotation
Attention to Detail
Time Management
Clear Communication
Domain Knowledge
Remote Collaboration
Rigorous Annotation Protocols