Autonomous Driving Expert

Hello

Greetings from ZettaMine Labs Pvt Ltd!!

We are looking for Autonomous Driving Expert for PAN India.

Job Role : Autonomous Driving Expert.

Location : PAN India

Notice Period : NA( As it is for Gig Workers)

Experience : 2 to 4 years

Relevant Exp : Minimum of 2 Years Experience in below list Skills

✓ 3D point cloud & LiDAR annotation

✓ Road scene geometry & lane topology

✓ Camera-LiDAR sensor fusion

✓ AV perception pipeline knowledge

✓ 2D/3D bounding box & segmentation

✓ ADAS taxonomy & driving physics

✓ Temporal object tracking

✓ Annotation QA & inter-rater agreement

Mandatory :

• Bachelor's or Master's in Computer Vision, Robotics, Electrical/Mechanical Engineering, or Physics (equivalent AV/ADAS practical experience considered)
• 2+ years in AV data annotation, ADAS validation, computer vision labeling, or robotics perception; familiarity with annotation tools (Scale AI, Labelbox, CVAT, or similar)

Job Description:

As an Autonomous Driving Expert Rater, you will precision-annotate and quality-evaluate perception data from autonomous vehicle systems — covering camera, LiDAR, and radar sensor inputs, road geometry, weather conditions, and safety-critical edge cases. You will also assess driving effect data: how vehicle perception translates into predicted or observed behaviour. Your annotations feed directly into self-driving ML training pipelines where precision has real safety consequences.

Key Responsibilities:

Perception Labeling

• Annotate 2D/3D bounding boxes, segmentation masks, and object tracks across camera and LiDAR point cloud data; label static elements (lanes, signs, road geometry) and dynamic objects (vehicles, pedestrians, cyclists) with precise attribute tagging.
• Perform temporal labeling across frame sequences; apply occlusion and visibility attributes; validate sensor fusion annotations across camera, LiDAR, and radar modalities.

Driving Effects & Scenario Evaluation

• Evaluate vehicle trajectories and motion planning against ground-truth behaviour; annotate scenario types (lane changes, intersections, merges, emergency stops) and environmental conditions (rain, fog, glare, night driving).
• Classify near-miss and safety-critical edge cases; flag scenarios where perception diverges from expected driving physics or safety norms.

Quality & Edge Case Engineering

• Maintain 98%+ accuracy; participate in inter-rater calibration; identify and escalate novel edge cases and sensor artifacts
• Leverage Platina's AI-assisted tooling (auto-labeling, active learning) to maximise throughput without compromising precision

Please provide following detail along with your updated profile to [Confidential Information]

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I will be reaching out to you over a call or email as soon as possible.

Thanks & Regards,

TungaVidya