AI Data Trainer - Remote

Job summary

Review robotic-arm videos and annotate actions, events, transitions, and outcomes using precise timestamps and detailed guidelines. Verify annotation accuracy, resolve ambiguities with project teams, and incorporate quality-review feedback to produce consistent datasets for AI training.

Job details

Senior AI Trainer 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.

What you’ll do

Review robotic-arm videos and annotate actions, events, transitions, and outcomes using precise timestamps and detailed guidelines. Verify annotation accuracy, resolve ambiguities with project teams, and incorporate quality-review feedback to produce consistent datasets for AI training.

Requirements

Applicants should have exceptional attention to detail, strong written and verbal communication, effective time management, and the ability to work independently in a remote setting. Video annotation, data labeling, timeline-based tools, frame-level annotation, AI training, machine-learning data preparation, or robotics experience is preferred; prior AI experience is not required.

Listed skills

• Time management · Preferred
• written communication · Preferred
• Problem solving · Preferred
• Quality assurance · Preferred
• Attention to detail · Preferred
• Accuracy · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Video Annotation
• Data Labeling
• Attention To Detail
• Accuracy
• Written Communication
• Verbal Communication
• Time Management
• Independent Work
• Analytical Thinking
• Problem-Solving
• Timestamp Annotation
• Quality Assurance
• Robotics
• Machine Learning Data Preparation

Job areas

• Technology
• Data & Analytics
• Engineering

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