Video Annotation Specialist - Fully Remote | Upto $25/hr
- Toronto, ON, Canada
Remote
$20 to $25 CAD / hour
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Job details
- Pay
- $20 to $25 CAD / hour
- Workplace
- Remote
- Posting language
- English
Original job description
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: AI Data Generalist - Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks
Role Responsibilities
- Review egocentric video data and complete structured quality-review tasks.
- Evaluate action segments within videos for accurate start and end boundaries.
- Adjust or flag incorrect boundaries following provided guidelines.
- Maintain consistent judgment across a high volume of short action segments.
- Complete assigned videos within the project timeline.
Qualifications
Must-Have
- Excellent attention to detail and visual comprehension.
- Ability to distinguish closely related actions and moments in video.
- Comfort with structured, repetitive review work while maintaining accuracy.
- Quick learning and consistent application of detailed annotation guidelines.
- Strong written English communication skills.
Preferred
- Experience with video annotation, data labeling, computer vision datasets, or egocentric video.
Start Date
- Monday morning 17th August (PST)
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
More about this job
Responsibilities
The AI Data Generalist at Mercor will review egocentric video and judge where each action segment starts and ends. They will adjust or flag incorrect boundaries and finish assigned videos on time.
Requirements
Candidates need excellent attention to detail, the ability to tell closely related actions apart, and comfort with repetitive review work. Strong written English and quick learning of detailed guidelines are also required; video annotation experience is preferred.
Skills
- Video annotation
- Data labeling
- Computer vision datasets
- Egocentric video
- Action segmentation
- Temporal boundary annotation
- Quality review
- Attention to detail
- Written English
- Guideline adherence
- Repetitive task accuracy
Categories
- Technology
- Data & Analytics
- Software
Keywords
- video annotation
- data labeling
- computer vision datasets
- egocentric video
- video review
- AI training data
- quality review
- action segmentation
- temporal annotation
- remote contract
- data annotation
- AI data generalist
- machine learning data
- gig work
Seniority
Entry level
Languages
- English