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Computer Vision Remote Jobs in Orangeville, ON (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

Mercor

Video Data Reviewer - Egocentric

Toronto, ON · Remote

CA$20 - CA$25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

Cayenta

(Remote) Application Consultant

Guelph, ON · Remote

Salary: 60K - 85K CAD AI & Innovation Mindset We are committed to leveraging emerging technologies ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

Cayenta

(Remote) Application Consultant

Toronto, ON · Remote

Salary: 60K - 85K CAD AI & Innovation Mindset We are committed to leveraging emerging technologies ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

Waabi

Senior Software Engineer, Auto Labelling

Toronto, ON · On-site +1

CA$170K - CA$220K/yr

... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to ...

Waabi

Senior / Staff Software Engineer, Mapping

Toronto, ON · On-site +1

CA$141K - CA$242K/yr

You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We ...

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All JobsComputer Vision JobsComputer Vision Remote JobsComputer Vision Remote Jobs in Orangeville, ON

Computer Vision Remote information

See Orangeville, ON salary details

$23.7K

$113.7K

$195.4K

How much do computer vision remote jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer vision remote in Orangeville, ON is $113,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,236.00 and $152,343.00 per year, depending on experience, location, and employer.

What is a computer vision remote?

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 computer vision remote?

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.

What are popular job titles related to Computer Vision Remote jobs in Orangeville, ON?

For Computer Vision Remote jobs in Orangeville, ON, the most frequently searched job titles are:

What job categories do people searching Computer Vision Remote jobs in Orangeville, ON look for?

The top searched job categories for Computer Vision Remote jobs in Orangeville, ON are:

What cities near Orangeville, ON are hiring for Computer Vision Remote jobs?

Cities near Orangeville, ON with the most Computer Vision Remote job openings:

Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Orangeville, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $113,745 per year, or $54.7 per hour.

Video Annotation Specialist - Fully Remote | Upto $25/hr

Mercor

Toronto, ON • Remote

CA$25/hr

Full-time

Posted 3 days ago

New

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: AI Data Generalist — Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks

Role Responsibilities

  • Review egocentric video data and complete structured quality-review tasks.
  • Evaluate action segments within videos for accurate start and end boundaries.
  • Adjust or flag incorrect boundaries following provided guidelines.
  • Maintain consistent judgment across a high volume of short action segments.
  • Complete assigned videos within the project timeline.

Qualifications

Must-Have

  • Excellent attention to detail and visual comprehension.
  • Ability to distinguish closely related actions and moments in video.
  • Comfort with structured, repetitive review work while maintaining accuracy.
  • Quick learning and consistent application of detailed annotation guidelines.
  • Strong written English communication skills.

Preferred

  • Experience with video annotation, data labeling, computer vision datasets, or egocentric video.

Start Date

  • Monday morning 17th August (PST)

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.