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Computer Vision Remote Jobs (NOW HIRING)

The Pennsylvania State University

$86K - $164K/yr

For additional information on remote work at Penn State, seeNotice to Out of State Applicants. POSITION SPECIFICS We are seeking a Computer Vision Engineerto join the Image Science and Computer ...

Clarium

Senior Software Engineer, Computer Vision

$170K - $210K/yr

The Opportunity Clarium builds computer vision pipelines that extract structured data from clinical ... Fully remote, with a NYC co-working space available; distributed team across multiple time zones ...

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How much do computer vision remote jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for computer vision remote in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $23.32 per hour, depending on experience, location, and employer.

What is a Computer Vision Remote job?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in the Computer Vision Remote position, and why are they important?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

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Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $43,372 per year, or $20.9 per hour.

Senior Computer Vision MLE - AI Trainer

Mercor

Boston, MA • Remote

$135/hr

Full-time

Posted yesterday

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computer Vision MLE
Type: Contract
Compensation: $135/hour
Location: Remote
Duration: 3–4 weeks
Commitment: 20+ hours/week

Role Responsibilities

  • Benchmark baseline model performance on a representative image sample.
  • Measure accuracy against a held-out set and assess data quality.
  • Evaluate the realistic performance ceiling of the computer vision system.
  • Translate findings into a decision-grade report for a non-technical executive audience.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • 5+ years in computer vision and ML engineering.
  • Experience classifying or grading physical objects from images.
  • Strong evaluation discipline in representative sampling and accuracy benchmarking.
  • Ability to assess feasibility and communicate clearly to a non-technical audience.

Preferred

  • Experience with authentication, counterfeit, or anomaly detection.
  • Exposure to private equity diligence or time-boxed advisory work.
  • Familiarity with imaging hardware, capture pipelines, and edge or on-prem deployment.

Compensation & Legal

  • Hourly contractor

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor