Golf Video Annotation Reviewer and Correction Specialist
Mercor • Remote
Education
Any
Type
Pay Rate
$30/task
Listed
Today
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We are looking for golf experts to support a short-turnaround golf data annotation project. The task involves reviewing and correcting annotations on approximately 50 golf videos, each around 20 minutes long.
Review and correct annotations for ~50 golf videos across 4–5 experts
Overview
Project Scope
Timeline
Ideal Background
Workflow
We are looking for golf experts to support a short-turnaround golf data annotation project. The task involves reviewing and correcting annotations on approximately 50 golf videos, each around 20 minutes long. Review and correct annotations for ~50 golf videos across 4–5 experts Each video is approximately 20 minutes long Work will focus on quality control, error detection, and correction of existing annotations Review will be completed by experts separate from the initial annotation team Data ready: 17th June Deadline: 29th June Fast turnaround required Strong familiarity with golf, including rules, scoring, shot types, player actions, and on-course events Prior experience with sports data annotation, QA, or labeling review High attention to detail and consistency Comfortable working under tight deadlines Initial annotation completed by one expert Review and correction completed by a separate expert to ensure quality (maker-checker process) Final output should reflect accurate, consistent, high-quality annotations We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
- Review and correct annotations for ~50 golf videos across 4–5 experts
- Each video is approximately 20 minutes long
- Work will focus on quality control, error detection, and correction of existing annotations
- Review will be completed by experts separate from the initial annotation team
- Data ready: 17th June
- Deadline: 29th June
- Fast turnaround required
- Strong familiarity with golf, including rules, scoring, shot types, player actions, and on-course events
- Prior experience with sports data annotation, QA, or labeling review
- High attention to detail and consistency
- Comfortable working under tight deadlines
- Initial annotation completed by one expert
- Review and correction completed by a separate expert to ensure quality (maker-checker process)
- Final output should reflect accurate, consistent, high-quality annotations
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($30/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
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