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Computer Vision Engineer
BrightAI Corporation · Palo Alto, California · Active · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | BrightAI Corporation |
| Title | Computer Vision Engineer |
| Normalized title | - |
| Department / team | Engineering |
| Location | Palo Alto, CA, United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-05-20 / 2026-05-29 |
| Changed / last seen | 2026-06-16 / 2026-06-22 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from BrightAI Corporation. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Palo Alto. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | BrightAI Corporation |
| Source | 76896fe5-28cf-442e-9417-354d6a2e2119 |
| ATS provider | Greenhouse |
Description
Computer Vision Engineer — Data Labeling & Annotation
Type: Temporary
Duration: 6 months - 12 months
What You'll Gain
Exposure to the full CV pipeline, from raw data to deployed model
Mentorship from CV engineers working on production systems
Hands-on experience with YOLO, PyTorch, and modern annotation workflows
Concrete portfolio work — datasets, scripts, and model contributions — that translates directly to future ML/CV roles
What You'll Do
Annotate images and video for object detection (bounding boxes), segmentation (polygons/masks), and classification
Help refine labeling schemas and class taxonomies as edge cases come up
Write Python scripts to convert between annotation formats, validate label integrity, and generate dataset statistics
QA labels and surface systematic errors or ambiguous cases
Run baseline YOLO training experiments to evaluate dataset quality and identify 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
Familiarity with PyTorch, segmentation masks, or model-assisted labeling workflows
Full job record
| Job ID | e5d377eb5007edcd764685f3cdfcd45d7643ccff |
| Org ID | 1a528b49-9b4d-4173-83b4-375f636f5662 |
| Source ID | 76896fe5-28cf-442e-9417-354d6a2e2119 |
| Board ID | 76896fe5-28cf-442e-9417-354d6a2e2119 |
| Provider | greenhouse |
| Provider Job Key | 6002012004 |
| Title | Computer Vision Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Palo Alto, California |
| Department | Engineering |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | Palo Alto |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://job-boards.greenhouse.io/brightai/jobs/6002012004 |
| Apply URL | https://job-boards.greenhouse.io/brightai/jobs/6002012004 |
| First Seen At | 2026-05-29 22:41:17Z |
| Last Seen At | 2026-06-22 07:41:41Z |
| Last Checked At | 2026-06-22 07:41:41Z |
| Last Changed At | 2026-06-16 07:34:51Z |
| Inactive At | — |
| Source Posted At | 2026-05-20 23:42:24Z |
| Source Updated At | 2026-06-15 18:45:44Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=brightai/date=2026-06-22/2026-06-22T07-41-41-243Z-8babb2171964d93f3780a180dc9c1a9adbd3c39bfc9f4f9bdb9eb363dc6bc71c.json |
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