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Annotation Engineer - Data Analyst

Expleo

Skills

Required

  • data annotation / labelling
  • computer vision / AI
  • 2D image annotation
  • polygons
  • segmentation
  • 3D point-cloud / LiDAR annotation
  • cuboids
  • lanes
  • traffic signs
  • camera
  • LiDAR fusion

Preferred

  • Xtreme1
  • CVAT / BasicAI / Segments.ai / Label Studio / Supervisory
  • AI-assisted
  • B.Tech
  • Electronics
  • calibration

Carries out the annotation tasks assigned in Xtreme1 and Valeo's in-house tools, accurately and consistently, following Valeo's annotation guidelines and specifications.

Responsibilities

  • Quality and steady daily output are the core of the role, and output is expected to grow as the team scales.
  • Work location Onsite at Valeo's Chennai premises.

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.

Requirements

  • 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.
  • Good to have Automotive or ADAS datasets: vehicles, pedestrians, lanes, traffic signs; camera and LiDAR fusion; object tracking.

Preferred

  • 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.
  • Any graduate, preferably B.E. / B.Tech / B.Sc.
  • (Computer Science, IT, Electronics) or equivalent

Working pattern 5 days per week, Valeo site calendar and hours

Every job at Expleo