Remote internship opportunity supporting AI-powered email fraud prevention projects through data labeling, annotation quality analysis, and AI model evaluation workflows.
Data Annotator - Video Data Reviewer
Job description
Join the team as a Video Data Reviewer contributing expertise toward training next-generation AI systems through high-quality video annotation review and validation workflows.
This role focuses on reviewing, correcting, and refining model-generated video annotations involving:
- Hand movements
- Object interactions
- Action timing
- Caption accuracy
- Human activity labeling
No prior AI experience is required. Strong observational skills and attention to detail are the primary qualifications.
Key Responsibilities
Review and refine AI-generated video annotations for:
- Accuracy
- Precision
- Consistency
Validate and correct:
- Action timing
- Label boundaries
- Start and end points of activities
Assess captions for atomicity, ensuring each annotation represents:
- A single action
- An independent event
- Clear behavioral labeling
Verify:
- Left-hand vs right-hand usage
- Human-object interaction accuracy
- Segment consistency
Flag:
- Ambiguous labels
- Low-quality annotations
- Incomplete data
- Edge cases
Maintain quality standards by following:
- Annotation rubrics
- Structured review workflows
- QA pipelines
Provide actionable feedback to improve annotation systems and workflows
Collaborate with project leads on difficult or unclear review cases
Required Skills & Qualifications
Strong:
- Visual discrimination skills
- Attention to detail
- Pattern recognition abilities
Ability to maintain focus during repetitive video review work
Comfortable using:
- Web-based annotation tools
- Time-coded video review platforms
Strong:
- Written communication
- Verbal communication
- Process adherence
Ability to follow detailed project guidelines and integrate reviewer feedback
Reliable:
- High-speed internet
- Computer capable of smooth video playback
Ability to work independently while meeting:
- Throughput targets
- Quality expectations
- Review deadlines
Preferred Qualifications
Experience in:
- Video annotation
- Data labeling
- Content moderation
- Transcription workflows
Familiarity with annotation tools such as:
- CVAT
- Labelbox
- Scale
- V7
- Encord
Background in fields involving human movement analysis including:
- Occupational therapy
- Kinesiology
- Sports analysis
- Sign language interpretation
Additional Information
This role contributes directly to the development of advanced AI systems by improving the quality and reliability of video understanding and activity recognition models.
You will be redirected to the company's website to complete your application.