Remote AI Video Annotator & Data Labeling Specialist

Executive Staff Recruiters / ESR Healthcare; United States; On-site; USD 30,000 - 58,000; Part time

Job summary

Executive Staff Recruiters / ESR Healthcare is seeking a Video Annotation Specialist for a remote contractor role. You will review robotic-arm video footage, apply grading guidelines, and record structured observations to support AI training datasets.

The ideal candidate has proven experience with video annotation or data labeling, exceptional attention to detail, strong communication, and the ability to work independently to meet project milestones.

Qualifications

• Proven experience with video annotation or data labeling.
• Excellent attention to detail and accuracy in reviewing data.
• Strong written and verbal communication skills.
• Able to manage time and work independently on projects.
• Familiarity with video annotation tools and platforms.
• Background in AI training, ML data preparation, or robotics projects is preferred.

Responsibilities

• Review video footage of robotic arms executing tasks to identify actions and outcomes.
• Apply grading guidelines to tag and annotate events in video sessions.
• Use video annotation tools to record structured observations and support data labeling efforts.
• Collaborate with project trainers and contributors to resolve ambiguities and ensure consistency.
• Document findings and submit annotated datasets per project milestones.
• Communicate progress, challenges, and insights clearly to the team.
• Participate in ongoing quality reviews to maintain high annotation standards.

Skills

Attention to detail

Communication

Time management

Analytical thinking

Tools

Video annotation tools

AI data prep

Robotics data labeling

Job description

Executive Staff Recruiters / ESR Healthcare is seeking a Video Annotation Specialist for a remote contractor role. You will review robotic-arm video footage, apply grading guidelines, and record structured observations to support AI training datasets.

The ideal candidate has proven experience with video annotation or data labeling, exceptional attention to detail, strong communication, and the ability to work independently to meet project milestones.