Egocentric Video Reviewer - Kenya

Position: Egocentric Video Quality Reviewer

Department: Data Services / AI Data Operations

Work Type: Remote

Employment Type: Full-time / Project-based

Key Responsibilities:

● Review first-person (egocentric) videos against project-specific quality guidelines.

● Evaluate video quality, including camera positioning, visibility, lighting, stability, and recording continuity.

● Assess whether recordings capture meaningful activities with clear actions and sufficient hand visibility.

● Identify issues such as excessive idle time, repetitive activities, obstructed views, poor lighting, and unclear task purpose.

● Accept or reject submissions based on predefined criteria and document accurate rejection reasons.

● Apply review guidelines consistently to minimize subjective decisions.

● Meet daily productivity and accuracy targets without compromising review quality.

● Escalate ambiguous cases, technical issues, or unclear guidelines to team leads.

● Participate in calibration sessions, training, and quality feedback reviews.

● Maintain confidentiality and comply with data privacy and security requirements.

Requirements:

● Strong attention to detail and ability to identify visual quality issues.

● Good English comprehension and ability to follow detailed written instructions.

● Comfortable reviewing large volumes of video content.

● Ability to make quick, accurate, and consistent decisions.

● Strong time management skills and ability to meet daily targets.

● Reliable internet connection and a computer capable of smooth video playback.

● Willingness to receive feedback and adapt to evolving guidelines.

● Ability to work independently in a remote environment.

Preferred Qualifications:

● Previous experience in video annotation, content moderation, quality assurance, or data labeling.

● Familiarity with AI training datasets, egocentric recordings, or robotics applications.

● Experience using annotation or video review platforms.

● Understanding of first-person camera perspectives and common video quality issues.

Performance Expectations:

Reviewers will be evaluated based on:

1. Review accuracy: Alignment with established quality standards and expert reviewer decisions.

2. Productivity: Number of videos reviewed within expected working hours.

3. Decision consistency: Accurate and consistent application of acceptance and rejection criteria.

4. Feedback quality: Clear and correct rejection reasons.

5. Reliability: Consistent attendance, engagement, and adherence to assigned schedules.

Specific productivity and accuracy targets will be communicated during onboarding and calibration.

What We're Looking For:

Someone who is detail-oriented, reliable, quick to learn, and comfortable making consistent quality decisions at scale.

Previous annotation experience is a plus, but strong judgment, commitment, and the ability to follow guidelines accurately are equally important.