Senior AI Trainer - Remote Video Annotation Expert

Yo Ai Labs; Rosario; A distancia; ARS 104.646.000 - 188.363.000; Jornada completa

Descripción de la vacante

Yo Ai Labs is seeking Senior AI Trainers to support a remote 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 attention to detail, strong communication, and the ability to work independently from a remote environment across multiple regions.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Attention to detail

Communication skills

Time management

Analytical thinking

Herramientas

Video annotation tools

Descripción del empleo

Yo Ai Labs is seeking Senior AI Trainers to support a remote 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 attention to detail, strong communication, and the ability to work independently from a remote environment across multiple regions.