Annotation Engineer - Data Analyst
Expleo Group
Work location
Onsite at Valeo's Chennai premises.
Working pattern
5 days per week, Valeo site calendar and hours
Responsibilities
- Key responsibilities
- Annotate assigned scenes in Xtreme1 (with Valeo plugins) and Valeo's in-house tools, for example 2D boxes, 3D cuboids, polygons or segmentation, attributes and object tracking across frames.
- Follow Valeo's annotation guidelines, ontology and specifications precisely.
- Self-check every scene against a checklist before submitting it to QC.
- Complete rework on defects raised by QC within the agreed turnaround.
- Log time, issues and clarifications in the team tracker each day.
- Take part in training, calibration on gold scenes and the daily stand-up.
- Raise guideline doubts early through the Technical Lead, rather than guessing.
- Work towards agreed productivity and quality targets (scenes per day, first-pass acceptance) as they are set after the pilot.
- 2–3 years of hands-on data annotation or labelling for computer vision or AI projects.
- Practical experience with at least one of: 2D image annotation (bounding boxes, polygons, segmentation) or 3D point-cloud / LiDAR annotation (cuboids).
- Strong attention to detail and the ability to follow detailed written guidelines consistently.
- Ability to sustain focused, repetitive precision work and meet daily targets.
- Basic Excel and good written English for logging and clarifications.
- Automotive or ADAS datasets: vehicles, pedestrians, lanes, traffic signs; camera and LiDAR fusion; object tracking.
- Experience with Xtreme1 or similar tools such as CVAT, BasicAI, Segments.ai, Label Studio or Supervisory.
- Use of AI-assisted pre-labelling or interpolation features in annotation tools.