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Contract Computer Vision Engineer Jobs in Fargo, ND

DOOSAN

Engineering Manager - Robotics

Fargo, ND

$132K - $198K/yr

Build a world class engineering team to advance autonomous machine development ... Encourage learning and development of domain expertise in Machine Learning, Computer Vision, and/or ...

KLJ Engineering LLC

Field Engineer

West Fargo, ND

Tasks may include basic assistance with contract administration, project planning and scheduling ... Specific vision abilities required by this job include close vision, color vision, depth perception ...

Apex Engineering Group

Sr. Engineer

Fargo, ND · On-site

$125K - $175K/yr

Discuss clients potential project opportunities, details of RFPs and contract reviews. * Establish ... Ability to operate a computer under normal ergonomic office conditions. * Must be able to clearly ...

Apex Engineering Group

Sr. Engineer

Fargo, ND · On-site

$125K - $175K/yr

Discuss clients potential project opportunities, details of RFPs and contract reviews. * Establish ... Ability to operate a computer under normal ergonomic office conditions. * Must be able to clearly ...

KLJ

Field Engineer

West Fargo, ND

Tasks may include basic assistance with contract administration, project planning and scheduling ... Specific vision abilities required by this job include close vision, color vision, depth perception ...

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All JobsContract Computer Vision Engineer JobsContract Computer Vision Engineer Jobs in Fargo, ND

Contract Computer Vision Engineer information

See Fargo, ND salary details

$47.6K

$119.3K

$135K

How much do contract computer vision engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for contract computer vision engineer in Fargo, ND is $119,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Computer Vision Engineer, and why are they important?

To thrive as a Contract Computer Vision Engineer, you need strong programming skills in Python or C++, a solid understanding of machine learning algorithms, and a background in computer vision concepts, often supported by a relevant degree. Familiarity with tools like OpenCV, TensorFlow, PyTorch, and experience with cloud platforms or version control systems is typically required. Excellent problem-solving abilities, adaptability, and clear communication help you collaborate well with clients and teams on diverse projects. These skills are crucial to efficiently deliver high-quality, innovative computer vision solutions that meet client requirements on time.

What are Contract Computer Vision Engineers?

Contract Computer Vision Engineers are professionals who specialize in developing and implementing computer vision algorithms and systems on a contract or freelance basis, rather than as full-time employees. They use their expertise in machine learning, image processing, and software engineering to help organizations solve problems involving visual data, such as object detection, image classification, and facial recognition. These engineers typically work on short- or medium-term projects, providing specialized skills and flexibility to companies that need computer vision solutions without hiring permanent staff.

What are some common challenges a Contract Computer Vision Engineer might face when integrating CV solutions into existing client systems?

As a Contract Computer Vision Engineer, you'll often encounter the challenge of integrating your models and algorithms with a client's existing infrastructure, which may use outdated or unfamiliar technologies. Ensuring compatibility, optimizing performance for specific hardware, and addressing data privacy concerns are frequent hurdles. Additionally, since contract roles are typically project-based, you may need to quickly adapt to new codebases and collaborate with multidisciplinary teams to align your solutions with broader business objectives. Clear communication and documentation are crucial to ensure smooth handover and long-term maintainability.

What is the difference between Contract Computer Vision Engineer vs Contract Machine Learning Engineer?

AspectContract Computer Vision EngineerContract Machine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in CV frameworksBachelor's or Master's in CS, experience in ML frameworks
Work EnvironmentTech companies, startups, research labsTech companies, startups, research labs
Employer & Industry UsageUsed in image/video analysis, autonomous vehicles, roboticsUsed in predictive modeling, data analysis, AI applications

Contract Computer Vision Engineers focus on developing algorithms for image and video processing, while Contract Machine Learning Engineers work on broader AI models. Both roles often share similar credentials and work environments but differ in their specific technical focus and application areas.

What job categories do people searching Contract Computer Vision Engineer jobs in Fargo, ND look for? The top searched job categories for Contract Computer Vision Engineer jobs in Fargo, ND are:
Contract Computer Vision Engineer jobs near you
AI Data Collector - Computer Vision (Remote/Contract)

AI Data Collector - Computer Vision (Remote/Contract)

micro1 AI

Fargo, ND • Remote

$13/hr

Part-time

Posted 16 days ago

Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

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