About the role
BrightAI Corporation · Onsite
Computer Vision Engineer — Perception & 3D
Type: Temporary
Duration: 6–12 months
What You'll Gain
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
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