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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