ZipRecruiter

Log In

3

Part Time Remote Computer Vision Engineer Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsComputer Vision Engineer JobsPart Time Remote Computer Vision Engineer Jobs

Part Time Remote Computer Vision Engineer information

See salary details

$48.5K

$121.5K

$137.5K

How much do part time remote computer vision engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for part time remote computer vision engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Remote Computer Vision Engineer vs Part Time Remote Machine Learning Engineer?

AspectPart Time Remote Computer Vision EngineerPart Time Remote Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related; experience with OpenCV, deep learning frameworksBachelor's or Master's in Computer Science, Data Science, or related; experience with ML frameworks like TensorFlow, PyTorch
Work EnvironmentRemote, collaborative teams, research labs, tech companiesRemote, data-driven projects, tech startups, research institutions
Industry UsageUsed in robotics, autonomous vehicles, surveillance, healthcareApplied in finance, marketing, recommendation systems, predictive analytics

While both roles involve machine learning skills, a Part Time Remote Computer Vision Engineer specializes in visual data processing, image analysis, and related algorithms, whereas a Part Time Remote Machine Learning Engineer focuses on broader data modeling and predictive systems. The choice depends on your expertise in visual technologies versus general machine learning applications.

More about Part Time Remote Computer Vision Engineer jobs
What cities are hiring for Part Time Remote Computer Vision Engineer jobs? Cities with the most Part Time Remote Computer Vision Engineer job openings:
What are the most commonly searched types of Remote Computer Vision Engineer jobs? The most popular types of Remote Computer Vision Engineer jobs are:
What states have the most Part Time Remote Computer Vision Engineer jobs? States with the most job openings for Part Time Remote Computer Vision Engineer jobs include:
What job categories do people searching Part Time Remote Computer Vision Engineer jobs look for? The top searched job categories for Part Time Remote Computer Vision Engineer jobs are:
Part Time Remote Computer Vision Engineer jobs near you
Infographic showing various Part Time Remote Computer Vision Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
AI Data Collector - Computer Vision (Remote/Contract)

AI Data Collector - Computer Vision (Remote/Contract)

micro1 AI

Overland Park, KS • Remote

$13/hr

Part-time

Posted 12 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.

Apply