Triage Analyst

3 weeks ago


Pune India Awign Full time

Job Description 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. Experience Required: Minimum 2 years Duration: 6 months initially Location: Pune, Hyderabad Salary: upto 30K per month Key Responsibilities: - Review and analyze driving scenarios captured from manual miles. - Apply the Driving Quality Taxonomy to identify driving behaviors such as: o Hard Brake o Too Fast o Cutting in Front o Failed to Stop o Lane Following Error, etc. - Apply the System/Simulation Error Taxonomy to flag issues including: o No Router o Adjacent to Router o Camera/Hardware Issue o Context Map Error o 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.


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