AV Annotator

Job Title: AV Annotation

Location: Remote

Experience: min 2 months to 3 years

Employment Type: Full time

Job Summary:

Zensar Technologies is seeking detail-oriented and skilled professionals to join our Autonomous Vehicle (AV) annotation team. The ideal candidate will have strong writing skills, a keen understanding of driving logic, and experience in labeling AV datasets to support cutting-edge AI and machine learning initiatives.

Key Responsibilities:

Accurately annotate AV datasets including video and image data using bounding boxes and other labeling tools.

Describe driving scenes and logic clearly and consistently in written form.

Identify and label road signs, vehicles, pedestrians, and other relevant objects in accordance with US road standards (EU familiarity is a plus).

Collaborate with cross-functional teams to ensure high-quality data annotation and consistency.

Maintain annotation guidelines and contribute to process improvements.

Required Skills & Qualifications:

Strong writing skills, especially in describing driving scenarios and logic.

Fluent in English with a good understanding of US road signs and traffic behavior.

Prior experience in AV labeling (bounding boxes, segmentation, etc.).

College-educated (Bachelors degree or higher).

Detail-oriented with the ability to work independently and meet deadlines.

Why Join Zensar?

Work on innovative projects in the autonomous vehicle domain.

Be part of a collaborative and growth-oriented team.

Opportunity to contribute to real-world AI applications.