TymblHub

© 2026 TymblHub

Data Annotation

People Prime Worldwide
Posted on
People Prime Worldwide logo

Experience
1 - 5 yrs
Salary (CTC)
₹1L - ₹3L
Job Location
Central Remote, Remote
Vacancy
10
Designation
Data Annotation Engineer
Job Type
ONSITE

Job Description

Job Description – AI Data Annotator | American Football Video & Image Annotation

Position: AI Data Annotator – Sports Video & Image Annotation
Project: American Football Data Annotation
Experience: 0–2 years
Location: India / Remote
Employment Type: Contract – 3.5 Months
Project Start: Immediate / This Week
Working Hours: As per project requirement

Job Summary

We are looking for AI Data Annotators to support an immediate project involving images and video frames from American Football games. The role will involve detailed annotation of sports footage, including key-point marking, player/object identification, and other image/video annotation workflows to create high-quality training data for AI and computer vision models.

The project will have approximately 7 annotation workflows, and selected candidates will receive project-specific training and guidelines.

Key Responsibilities

  • Annotate images and video frames from American Football games.
  • Mark key points/key landmarks accurately according to project guidelines.
  • Identify and annotate players, objects and other relevant elements in video frames.
  • Perform frame-by-frame annotation and maintain consistency across consecutive frames.
  • Follow defined annotation guidelines and workflow instructions.
  • Review completed annotations and correct errors where required.
  • Maintain required accuracy and productivity/quality benchmarks.
  • Participate in training, calibration sessions and feedback discussions.
  • Escalate unclear or ambiguous cases to the QA/Team Lead.
  • Ensure timely completion of assigned annotation volumes.

Required Skills

  • Good attention to detail and ability to perform repetitive visual tasks accurately.
  • Comfortable working with images and video frames.
  • Basic computer proficiency and ability to learn annotation tools quickly.
  • Good English comprehension.
  • Ability to follow detailed instructions and annotation guidelines.
  • Good typing and computer navigation skills.
  • Willingness to work on a short-term project for approximately 3.5 months.

Preferred Skills

  • Prior experience in data annotation / image annotation / video annotation.
  • Experience with tools such as CVAT, Labelbox, Supervisely, Scale AI or similar platforms.
  • Experience with key-point annotation, bounding boxes, polygons or object tracking.
  • Previous experience working on sports/sports-video annotation projects.
  • Knowledge of American Football/NFL will be an advantage but is not mandatory.

Candidate Profile

We are particularly interested in candidates who are:

  • Detail-oriented
  • Comfortable watching and analyzing sports videos
  • Fast learners
  • Consistent with repetitive annotation tasks
  • Able to meet productivity and accuracy targets
  • Available to join immediately

Project Details

  • Project Duration: Approximately 3.5 months
  • Start Date: Immediate / expected to start this week
  • Work Type: Image & Video Frame Annotation
  • Workflows: Approximately 7
  • Domain: American Football / Sports
  • Annotation Type: Key points and other visual annotations
  • Training: Project-specific training will be provided
  • Experience: Freshers with strong visual attention can also be considered

Suggested Screening Criteria

For quick hiring, I would screen candidates on:

  1. Visual attention test
  2. Key-point annotation accuracy
  3. Ability to understand annotation guidelines
  4. Speed/productivity
  5. Basic English comprehension
  6. Ability to identify players/objects in sports footage
  7. Availability for the full 3.5-month project
  8. Willingness to work according to the required shift/timings

No Referrers Available

There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.