Data Annotator (Autonomous Vehicles)

Role Overview

The Triage & AV Analyst will be responsible for reviewing and analyzing real-world driving footage captured from manual miles. The role involves identifying, classifying, and labeling various driving behaviors and system/simulation errors using defined taxonomies. The analyst will play a key role in ensuring data accuracy and consistency to support autonomous driving model development.

Key Responsibilities

Review and analyze driving scenarios captured from manual miles.

Apply the Driving Quality Taxonomy to identify driving behaviors such as:

• Hard Brake
• Too Fast
• Cutting in Front
• Failed to Stop
• Lane Following Error, etc.

Apply the System/Simulation Error Taxonomy to flag issues including:

• No Router
• Adjacent to Router
• Camera/Hardware Issue
• Context Map Error
• Scene Cutting Error

Assign appropriate label confidence levels (High, Moderate, Low) based on the clarity of evidence.

Accurately differentiate between closely related categories, e.g., Diverting from Route vs. Not Following Route.

Maintain consistency and quality across large volumes of labeled data.

Collaborate with Quality Analysts and Project Leads to ensure adherence to annotation guidelines.

Participate in calibration and feedback sessions to continuously improve labeling accuracy.

Required Skills & Qualifications

• Bachelor’s degree in Engineering, Computer Science, or a related field preferred.
• Prior experience in Autonomous Vehicle (AV), ADAS, or Simulation Data Analysis projects is desirable.
• Strong analytical and observational skills with keen attention to detail.
• Familiarity with data annotation tools and taxonomy-based classification.
• Ability to understand and apply complex labeling guidelines consistently.
• Good communication and reporting skills.
• Comfortable working in a fast-paced, deadline-driven environment.

Preferred Skills

• Exposure to Lidar, camera-based data, or simulation environments.
• Understanding of vehicle dynamics and traffic behavior.
• Experience with quality audit or validation tasks.