$30-$32/hr2d
JobgetherPosted 1d ago
L3
Data Annotation Analyst
Data Annotation Analyst at Jobgether scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.
Remote (UK)Contract
AI in this role
Create high-quality ground-truth datasets for perception models using camera imagery and LiDAR data.
lidar
ai-data-labelingcomputer-visiondata-annotationspatial-reasoning
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Annotation Analyst based in United Kingdom.
As a Data Annotation Analyst, you will help create high-quality ground-truth datasets used to train and validate perception models for autonomous and operator-assisted machines.
You will work with camera imagery, video, and LiDAR point clouds to identify and precisely label objects, people, terrain, and environmental features.
The role combines detailed visual analysis with specialized annotation tools, requiring accuracy, consistency, and strong spatial reasoning.
You will contribute directly to datasets that support advanced AI and machine perception systems operating in complex real-world environments.
Success requires maintaining high quality and productivity while following detailed annotation specifications and handling ambiguous scenarios thoughtfully.
You will collaborate with QA teams and fellow annotators through calibration sessions, guideline reviews, and regular feedback.
This is an opportunity to contribute to sophisticated AI applications while developing expertise in computer vision data and 3D spatial annotation.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
AI Data LabelingComputer VisionData AnnotationSpatial ReasoningLidar
Questions you could be asked
- How do you keep labeling instructions consistent across a large annotation team?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where data annotation was part of your work. What did you do?
- Tell me about a project where spatial reasoning was part of your work. What did you do?
- Walk me through how you've used Lidar in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Data Labeling, Computer Vision, Data Annotation, Spatial Reasoning, and Lidar. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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