About the role

What will you do at BrightAI?

Computer Vision Engineer — Perception & 3D

Type: Temporary

Duration: 6–12 months

What You'll Gain

* Exposure to the full CV pipeline, from raw data and annotation to deployed

model

* Mentorship from CV engineers working on production systems

* Hands-on experience with YOLO, PyTorch, 3D reconstruction, and modern

perception workflows

* Concrete portfolio work — datasets, scripts, reconstructions, and model

contributions — that translates directly to future ML/CV roles

What You'll Do

* Annotate and QA images and video for detection, segmentation, and
classification — and build the tooling to do it at scale
* Work on 3D reconstruction (photogrammetry, Gaussian splatting) and explore
applications in AR/VR and autonomy
* Write Python tooling to convert annotation formats, validate label integrity,
and generate dataset statistics
* Help shape labeling schemas and class taxonomies as edge cases arise
* Run baseline YOLO training experiments to evaluate dataset quality and
surface labeling gaps
* Document conventions and edge-case decisions
Required
* Recent graduate with a degree in CS, EE, AI/ML, or related field
* Working knowledge of Python and common CV libraries (NumPy, OpenCV)
* Attention to detail and patience for precision work

Nice to Have

* Hands-on experience with YOLO or PyTorch
* Familiarity with 3D reconstruction, segmentation masks, or model-assisted
labeling workflows
* Interest in AR/VR, SLAM, or autonomous systems

Which skills does this role require?

Computer VisionData LabelingPythonNumPyOpenCVObject DetectionImage SegmentationClassificationAnnotationBounding BoxesPolygonsML PipelineDataset StatisticsQAMachine Learning

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.