Senior AI Video Annotation Specialist

YO AI Labs; Warszawa; À distance; PLN 227 000 - 341 000; Plein temps

Résumé du poste

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. You will review robotic-arm footage, apply guidelines, and provide high-quality datasets for model training. This is a remote contractor role with international scope.

No prior AI experience is required, and you will work independently to ensure precise, timestamped annotations that meet project standards.

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

Written and verbal communication

Time management

Analytical thinking

Independent remote work

Video annotation

Data labeling

Outils

Video annotation tools

Description du poste

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. You will review robotic-arm footage, apply guidelines, and provide high-quality datasets for model training. This is a remote contractor role with international scope.

No prior AI experience is required, and you will work independently to ensure precise, timestamped annotations that meet project standards.