Remote Senior AI Data Trainer - Video Annotation Specialist

Yo Ai Labs; La Pampa; Remote; ARS 90.873.000 - 136.310.000; Teilzeit

Zusammenfassung

Yo Ai Labs is seeking Senior AI Trainers for remote work to support a customer project focused on improving AI systems through expert-level video annotation and data labeling. You will review robotic-arm footage, create precise annotations, and provide high-quality data to support AI model training.

No prior AI experience is required. The role emphasizes strong attention to detail, excellent communication, and the ability to work independently in a remote environment, with potential for

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Attention to detail

Written & verbal communication

Time management

Analytical problem solving

Jobbeschreibung

Yo Ai Labs is seeking Senior AI Trainers for remote work to support a customer project focused on improving AI systems through expert-level video annotation and data labeling. You will review robotic-arm footage, create precise annotations, and provide high-quality data to support AI model training.

No prior AI experience is required. The role emphasizes strong attention to detail, excellent communication, and the ability to work independently in a remote environment, with potential for