Summary: The AI Data Annotation Expert role involves reviewing and annotating video clips to identify and categorize events based on specific guidelines. The position requires attention to detail and collaboration with project leads to ensure high-quality data labeling. This is a contract position with flexible hours, allowing for a commitment of 10-40 hours per week. The role is fully remote, catering to candidates with experience in video annotation or similar data labeling tasks.
Key Responsibilities:
- Review short video clips to identify and categorize recurring events according to provided guidelines.
- Precisely annotate each recognized event, capturing accurate timestamps for every occurrence.
- Craft clear, concise, and consistent written descriptions for all annotated events.
- Utilize attention to detail and data labeling accuracy to ensure high-quality, reliable annotations.
- Apply annotation protocols rigorously to maintain consistency and integrity of the labeled data.
- Engage collaboratively with project leads and fellow contributors to address questions and feedback.
Key Skills:
- Proven experience with video annotation or similar data labeling activities.
- Exceptional attention to detail and a commitment to maintaining data quality.
- Strong analytical skills, with the ability to interpret guidelines and apply them thoroughly.
- Excellent written and verbal English proficiency for clear annotation descriptions and communication.
- Experience participating in AI training or data-centric projects is advantageous.
Salary (Rate): £80.00/hour
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Position: AI Data Annotation Expert
Type: Contract
Compensation: $40 - $80/hour
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
- Review short video clips to identify and categorize recurring events according to provided guidelines.
- Precisely annotate each recognized event, capturing accurate timestamps for every occurrence.
- Craft clear, concise, and consistent written descriptions for all annotated events.
- Utilize attention to detail and data labeling accuracy to ensure high-quality, reliable annotations.
- Apply annotation protocols rigorously to maintain consistency and integrity of the labeled data.
- Engage collaboratively with project leads and fellow contributors to address questions and feedback.
Requirements
- Proven experience with video annotation or similar data labeling activities.
- Exceptional attention to detail and a commitment to maintaining data quality.
- Strong analytical skills, with the ability to interpret guidelines and apply them thoroughly.
- Excellent written and verbal English proficiency for clear annotation descriptions and communication.
- Experience participating in AI training or data-centric projects is advantageous.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage