Senior AI Data Annotator - Remote Contractor

YO AI Labs; Wrocław; Remote; PLN 227,000 - 454,000; Part time

Job summary

YO AI Labs is seeking a Senior AI Trainer to support a customer project focused on improving AI systems through expert-level video annotation and data labeling. The contractor will review robotic-arm footage, create precise annotations, and provide high-quality data for model training, with no prior AI experience required.

The role emphasizes attention to detail, strong communication, and the ability to work independently in a remote setup, contributing to consistent data quality across projects.

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

Analytical thinking

Tools

Video annotation tools

Timeline-based labeling tools

Job description

YO AI Labs is seeking a Senior AI Trainer to support a customer project focused on improving AI systems through expert-level video annotation and data labeling. The contractor will review robotic-arm footage, create precise annotations, and provide high-quality data for model training, with no prior AI experience required.

The role emphasizes attention to detail, strong communication, and the ability to work independently in a remote setup, contributing to consistent data quality across projects.