AI Data Trainer - Remote

YO AI Labs

  • Boston, MA
  • 6 days ago
  • Remote

    Highlights

    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.

    Numbers & Facts

    LocationBoston, MA (
    Remote
    )

    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.

    Required 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.

    Preferred Qualifications

    • 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.

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