Annotation Engineer - Data Analyst
Expleo (company site, opens in a new tab)2–3 yrsChennaiOn-siteDirect career pageEst. 3–5 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Annotate computer-vision scenes using Xtreme1 and Valeo tools, including 2D boxes, polygons/segmentation, 3D cuboids, attributes, and object tracking.
- Own annotation quality through checklist-based self-review, QC rework, and adherence to specified guidelines and ontology.
- Meet productivity and first-pass quality targets set after the pilot; log work and issues daily.
Minimum Requirements
- Work Experience Required: 2–3 years of hands-on data annotation or labelling for computer-vision or AI projects.
- Practical experience with either 2D image annotation (such as boxes, polygons, or segmentation) or 3D point-cloud/LiDAR annotation (cuboids).
- Any graduate; technical degrees are preferred, not stated as mandatory.
- Onsite at Valeo’s Chennai premises, 5 days per week.
Ideal Candidate Profile
- Has worked on precision annotation workflows where detailed guidelines, self-checks, QC feedback, and daily output targets determine success.
- Experience with automotive/ADAS data, camera-LiDAR fusion, or tracking is a relevant advantage.
- Familiarity with Xtreme1 or comparable annotation tools is useful; experience with AI-assisted pre-labelling or interpolation is an additional advantage.