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Temporary Vision Engineer Jobs (NOW HIRING)

Computer Vision Engineer

$114K - $134K/yr

BrightAI is a company focused on computer vision technologies, and they are seeking a Computer Vision Engineer for a temporary position. The role involves annotating images and videos for various ...

VISION Developer / Global Plus Reporting Specialist Location: Tulsa, OK -- 100% Remote Duration: 6 ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

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Temporary Vision Engineer information

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How much do temporary vision engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for temporary vision engineer in the United States is $106,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $132,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Temporary Vision Engineer jobs? Cities with the most Temporary Vision Engineer job openings:
What are the most commonly searched types of Vision Engineer jobs? The most popular types of Vision Engineer jobs are:
What states have the most Temporary Vision Engineer jobs? States with the most job openings for Temporary Vision Engineer jobs include:
Computer Vision Engineer

Computer Vision Engineer

BrightAI Corporation

Palo Alto, CA • On-site

$131K - $154K/yr

Other

Re-posted 21 days ago


Job description

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

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About BrightAI

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2019