Senior AI Data Annotator - Remote

YO AI Labs

Johannesburg

Remote

ZAR 1,124,000 - 2,249,000

Full time

8 days ago
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Job summary

YO AI Labs seeks a Senior AI Trainer to support a customer project through expert-level video annotation and data labeling. You will review robotic-arm footage, apply guidelines, and submit precise annotations to support AI model training.

This is a remote contractor role requiring strong attention to detail and self-motivation. Responsibilities include tagging events with timestamps, ensuring timing accuracy, and collaborating with teams to resolve ambiguities while maintaining high data

Qualifications

  • 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.

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.

Skills

Attention to detail
Communication
Time management
Independent work

Job description

YO AI Labs seeks a Senior AI Trainer to support a customer project through expert-level video annotation and data labeling. You will review robotic-arm footage, apply guidelines, and submit precise annotations to support AI model training.

This is a remote contractor role requiring strong attention to detail and self-motivation. Responsibilities include tagging events with timestamps, ensuring timing accuracy, and collaborating with teams to resolve ambiguities while maintaining high data

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