Remote Senior Ai Data Trainer: Precise Video Annotation

Yo Ai Labs; La Pampa; Remote; ARS 52,161,000 - 125,187,000; Full time

Job summary

Yo Ai Labs seeksSenior AI Trainers to annotate robotic-arm videos, tag events, and produce high-quality data for AI model training. This remote role emphasizes precision, clear communication, and independent work.

Ideal candidates bring strong attention to detail, excellent time management, and the ability to work asynchronously with global teams to ensure data accuracy and consistency in labeling.

Qualifications

• Exceptional attention to detail 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 guidelines to tag and annotate video events accurately.
• Mark start and end timestamps for actions and outcomes.
• Verify annotations for timing accuracy and correct drift.
• Use annotation tools to create and submit 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

Independent remote

Analytical thinking

Job description

Role Type: Contractor, Remote
Location: North America, Latin America, Europe, UK, Oceania

We're seeking Senior AI Trainers to support a customer project focused on improving AI systems through expert-level video annotation and data labeling. You'll review robotic-arm footage, create precise annotations, and provide high-quality data to support AI model training. No prior AI experience is required.

Key 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.

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.

Preferred Qualifications

• Experience in video annotation, data labeling, or similar projects.
• Familiarity with video annotation and timeline-based labeling tools.
• Experience with frame-level or timecode-based annotation.
• Background in AI training, machine learning data preparation, or robotics is strongly preferred.