Computer Vision Data Annotator

Remoteremote

Posted 1mo ago · via Teamtailor

About this role

The Role: We are building an edge AI system that monitors intersection safety in real time. We are expanding our detection capabilities and need a detail-oriented annotator to help us grow and maintain the training dataset that powers our models. Responsibilities: You will annotate video clips of intersections using CVAT, our annotation platform. The majority of your work involves reviewing and correcting AI-generated pre-labels rather than drawing from scratch — you are the quality layer, not the production layer. Day-to-day tasks include reviewing auto-generated bounding boxes across object classes (pedestrians, vehicles, and others), applying tracking corrections when objects are occluded or conditions change, and flagging edge cases for engineer review.…

Read the full description on Nir Yu's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

We compare your skills against the role requirements.

2

Level fit

We check your title trajectory against the seniority signal of the role.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is remote-eligible — we factor in your stated location and time-zone overlap.

Score yourself on this role.
Free · no card · written explanation included
See if I'm a fit →

More at Nir Yu

See all open jobs at Nir Yu