QC - Senior Test Engineer – Data Annotation
Expleo Group
Date: 1 hour ago
City: Chennai, Tamil Nadu
Contract type: Full time
Role summary: Independently checks completed annotations against Valeo's guidelines and acceptance criteria before delivery to Valeo. Owns defect logging, rework verification and quality metrics for the team.
Work location
Onsite at Valeo's Chennai premises.
Working pattern
5 days per week, Valeo site calendar and hours
Responsibilities
Work location
Onsite at Valeo's Chennai premises.
Working pattern
5 days per week, Valeo site calendar and hours
Responsibilities
- Key responsibilities
- Validate completed scenes against Valeo's annotation guidelines and acceptance criteria, using full inspection or the agreed sampling plan.
- Record defects by type and severity (Critical, Major, Minor, Observation). Send work back for rework and verify each fix before closure.
- Ensure no scene is delivered with open Critical or Major defects.
- Monitor quality trends by engineer and defect type and support root-cause analysis and targeted coaching.
- Report quality metrics (first-pass acceptance rate, rework rate, defect density and rework closure time) to the Technical Lead each day and week.
- Take part in calibration on gold scenes and maintain the guideline FAQ and clarification log with the Technical Lead.
- Act on feedback from Valeo's acceptance checks and track it to closure.
- Raise guideline gaps or ambiguities as observations for Valeo to clarify.
- 6–7 years in QA, testing or data quality, including at least 2 years reviewing or QC-ing annotated data for computer vision.
- Strong eye for detail on 2D image and/or 3D point-cloud annotations: boxes and cuboids, attributes, class labels, track IDs across frames.
- Hands-on experience with defect tracking, severity classification and rework workflows.
- Good command of Excel for quality trackers and metric reporting.
- Clear written communication for defect feedback.
- Automotive ADAS or autonomous-driving perception datasets (camera, LiDAR, sensor fusion).
- Experience with Xtreme1 or similar annotation tools and their review or QC features.
- Knowledge of statistical sampling and quality-gate approaches.
- Experience as an annotator before moving into QC.
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