Data Annotation Engineer

We are seeking a detail-oriented Annotation Engineer to support the development of AI and Machine Learning models for Advanced Driver Assistance Systems (ADAS), Autonomous Driving, Computer Vision, and other automotive intelligence solutions. The candidate will be responsible for annotating, validating, and managing large-scale datasets to ensure high-quality training data for AI applications.
Key Responsibilities
Annotate and label image, video, LiDAR, radar, and sensor data for machine learning model training.
Perform quality checks and validation of annotated datasets to ensure accuracy and consistency.
Collaborate with AI/ML Engineers, Data Scientists, and Product Teams to understand annotation requirements.
Create and maintain annotation guidelines and documentation.
Identify data quality issues and recommend improvements to annotation processes.
Track annotation metrics and provide regular status reports.
Support dataset preparation, cleansing, and management activities.
Ensure compliance with project timelines and quality standards.
Required Skills & Qualifications
Bachelor's degree in Computer Science, Electronics, Information Technology, Mechanical Engineering, or related field.
1-5 years of experience in data annotation, labeling, or data quality roles.
Experience with annotation tools such as CVAT, Label box, Supervisory, Scale AI, V7, or similar platforms.
Understanding of Computer Vision, Machine Learning, and AI concepts.
Experience annotating images, videos, LiDAR point clouds, and sensor data is preferred.
Strong attention to detail and analytical skills.
Good communication and documentation skills.
Ability to work effectively in a collaborative environment.
Preferred Skills
Exposure to ADAS, Autonomous Driving, Automotive Vision Systems, or Robotics.
Knowledge of Python, SQL, or scripting languages.
Familiarity with automotive standards and data management processes.
Experience in handling large-scale datasets.
Key Competencies
Quality Focus
Problem Solving
Team Collaboration
Data Accuracy & Consistency
Continuous Learning
Experience
1-5 years

Education
B.E./B.Tech in relevant engineering disciplines.