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Temporary Vision Engineer Jobs (NOW HIRING)

Vision insurance Work Requirements: This role is considered 100% on-site position in Rockford, ILL You must be able to commute to and from the location with your own transportation arrangements to ...

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Temporary Vision Engineer information

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$44K

$106.4K

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How much do temporary vision engineer jobs pay per year?

As of Jun 21, 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

$131K - $154K/yr

Other

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Job 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

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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