Senior AI Video Annotator & Data Labeler (Remote)

YO AI Labs; Paris; À distance; EUR 48 000 - 84 000; Temps partiel

Résumé du poste

YO AI Labs seeks a Senior AI Trainer to support a customer project by reviewing robotic-arm footage, applying detailed guidelines, and providing high-quality labeled data to improve AI model training. This is a remote contractor role with flexible hours.

Ideal candidates possess sharp attention to detail, strong written and verbal communication, and the ability to work independently in a remote environment. Experience in video annotation and timecode-based labeling is preferred but not 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.

Responsabilités

• 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.

Connaissances

Attention to detail

Communication

Time management

Analytical thinking

Outils

Video annotation tools

Description du poste

YO AI Labs seeks a Senior AI Trainer to support a customer project by reviewing robotic-arm footage, applying detailed guidelines, and providing high-quality labeled data to improve AI model training. This is a remote contractor role with flexible hours.

Ideal candidates possess sharp attention to detail, strong written and verbal communication, and the ability to work independently in a remote environment. Experience in video annotation and timecode-based labeling is preferred but not required.