Data Annotator — Computer Vision (AI Safety Software)

Labeling images and video from safety cameras, to train AI detection models.

What we're looking for

- Attention to detail. You will label thousands of images against the same rule. Image 3,000 has to be labeled the same way as image 3.
- 2 years of image or video annotation. Hands-on work drawing bounding boxes in a real tool — Label Studio, CVAT, Roboflow or similar.
- You follow the guideline. When a rule doesn't cover a case, you ask. You don't guess and move on.
- You can read basic numbers. Counts and percentages. You notice when a dataset looks thin or unbalanced.
- Transparent written English. The team is remote. Most questions get asked in writing.

Nice to have: labeling CCTV or industrial site footage, correcting labels the AI drew, or working with COCO, YOLO or Pascal VOC formats.

What you'll do

- Label images and video to a written guideline
- Check labels for wrong classes, missed objects and loose boxes
- Correct labels the AI has already drawn
- Report unclear rules and missing data to the AI team

Location: Fully remote Please apply this job if only you can start immidiately.

📌 Data Annotator — Computer Vision (AI Safety Software) (India)
🏢 Veunex
📍 India