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Camera Tracking Jobs in Ontario (NOW HIRING)

BWXT

Electrical Technician Junior

Kitchener, ON · On-site

Maintain control of electrical tools, test equipment, cameras, and communications equipment * Use approved software systems to support work execution, material tracking, and documentation * Follow ...

New

BWXT

Electrical Technician Junior

Kitchener, ON · On-site

Maintain control of electrical tools, test equipment, cameras, and communications equipment * Use approved software systems to support work execution, material tracking, and documentation * Follow ...

New

Great Lakes Group

Be Seen First

PLC Programmer - Vision Systems Integration

Windsor, ON · On-site

$45 - $55/hr

Develop PLC logic for vision triggers, inspection results, pass/fail decisions, part tracking, and reject sequences. * Configure and troubleshoot industrial automation equipment, sensors, cameras ...

New

Astreya

Field Services Technician I

Toronto, ON · On-site

Use asset tracking systems to manage device records, check-ins/outs, and stock levels ... Perform regular checks and basic troubleshooting of AV equipment (displays, microphones, cameras)

Pulp and Press

Marketing Coordinator

London, ON

Tracking influencer performance. Capturing content at events. Managing swag inventory. Running ... Comfortable on and behind the camera to create content that meets a high bar for quality * Build ...

Voyis

Embedded Systems Test Engineer

Waterloo, ON · On-site

CA$95K - CA$130K/yr

... cameras, lights)for underwater vehicles that expand capability and enhance understanding in ... coverage tracking, and reporting dashboards (Prometheus, Grafana) * Experience setting up and ...

CCTV Direct

Sales Account Executive

Mississauga, ON · On-site

... IoT cameras, AI network and digital video recorders, cables, and other accessories from market ... Determining sales projections for fiscal year and tracking progress. QUALIFICATIONS * Experienced ...

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All JobsCamera Tracking JobsCamera Tracking Jobs in Ontario

Camera Tracking information

See Ontario salary details

$8

$27

$72

How much do camera tracking jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for camera tracking in Ontario is $27.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $31.01 per hour, depending on experience, location, and employer.

What is camera tracking?

Camera tracking, also known as match moving, is the process of analyzing video footage to determine the movement of the camera so that computer-generated elements can be accurately integrated into the scene. This technique is widely used in film and television visual effects to seamlessly blend live-action footage with 3D graphics or animations. By recreating the camera's movement in a virtual environment, artists ensure that the added elements match the perspective, scale, and motion of the original shot. Camera tracking can be done in both 2D and 3D, depending on the project's needs.

What are the key skills and qualifications needed to thrive as a camera tracking artist?

To thrive as a Camera Tracking Artist, you need a solid understanding of 3D geometry, motion tracking, and visual effects, often supported by a background in film, animation, or computer graphics. Expertise with industry-standard tools such as Autodesk Maya, PFTrack, Boujou, or SynthEyes, along with knowledge of compositing software like Nuke, is typically required. Strong attention to detail, problem-solving abilities, and effective collaboration are crucial soft skills in this role. These skills ensure the seamless integration of computer-generated elements into live-action footage, which is essential for producing believable visual effects in film and television.

What are some common challenges faced by professionals in camera tracking roles, and how can they be addressed?

Camera tracking specialists often encounter challenges such as working with low-quality or shaky footage, inconsistent lighting, and complex camera movements. To address these, it’s important to develop strong problem-solving skills and proficiency in software like PFTrack, SynthEyes, or After Effects. Collaborating closely with VFX supervisors and other post-production team members can also help ensure accurate tracking data and seamless integration of CGI elements. Staying updated on the latest tracking techniques and tools can further enhance efficiency and output quality.

What is the difference between Camera Tracking vs Motion Capture Artist?

AspectCamera TrackingMotion Capture Artist
Required CredentialsKnowledge of camera systems, software skills (e.g., PFTrack, Boujou)Motion capture technology, suit operation, data processing
Work EnvironmentPost-production, visual effects studios, film setsVFX studios, animation facilities, film sets
Industry UsageAligning CGI with live-action footageCreating realistic character animations

Camera Tracking involves analyzing footage to match virtual elements with real-world camera movements, essential for integrating CGI. Motion Capture Artists record actors' movements to animate digital characters. While both roles support visual effects, Camera Tracking focuses on footage analysis, whereas Motion Capture involves capturing physical performances for animation.

What are popular job titles related to Camera Tracking jobs in Ontario?

For Camera Tracking jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Camera Tracking jobs in Ontario look for?

The top searched job categories for Camera Tracking jobs in Ontario are:

Camera Tracking jobs near you
Infographic showing various Camera Tracking job openings in Ontario as of August 2026, with employment types broken down into 63% Full Time, 27% Part Time, 2% Temporary, 6% Contract, and 2% Nights. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $57,610 per year, or $27.7 per hour.

Computer Vision Researcher / Developer

Markham, ON

EAIGLE
See more jobs at EAIGLEexternal

Full-time

Posted 20 days ago

Job description

EAIGLE is a computer vision AI platform helping enterprises in supply chain and logistics turn vision data into security, transportation, and operational outcomes. Our solutions include AVACâ„¢, automated vehicle access control at the retailer's gate, and YardSightâ„¢, real-time monitoring of loading docks and truck parking availability across the yard. The platform combines on-premise computer vision components with Azure cloud services, and is deployed today at Fortune 100 and 500 companies.


The Role

We're looking for a Computer Vision Researcher to take AI solutions for image and video understanding from research through to production. You'll own problems end to end: framing them, experimenting, building and training models, evaluating rigorously, optimizing for real-world constraints, and shipping to cloud and edge environments.

This is a role for someone who is comfortable moving between a paper and a production incident in the same week, and who is willing to pick up whatever technology the problem requires.


What You'll Do

  • Research, adapt, and deploy state-of-the-art computer vision and deep learning methods for our products.
  • Design, train, fine-tune, and evaluate models across detection, tracking, segmentation, OCR, and related vision tasks.
  • Build the data pipelines behind the models — collection, annotation, augmentation, and preprocessing at scale.
  • Optimize models for accuracy, latency, memory, and cost, and deploy them to cloud and edge environments.
  • Define evaluation metrics, benchmark rigorously, and monitor deployed models to drive the next iteration.
  • Document your findings and designs clearly, and contribute to publications, patents, or open source where it makes sense.


What We're Looking For

  • Master's or PhD in Computer Science, AI, Electrical Engineering, Mathematics, or a related technical field.
  • Substantial research or professional experience in computer vision and deep learning.
  • Depth in 3D camera geometry and motion. This is central to what we do, and we want someone who has genuinely worked in this space — 3D tracking, structure from motion, visual SLAM, multi-view geometry, camera calibration and pose estimation, stereo or depth estimation, or closely adjacent problems.
  • Strong Python skills, with hands-on experience in PyTorch and/or TensorFlow and OpenCV.
  • Experience taking models from experiment to production.
  • Comfort working across Linux and Windows, with Git and modern engineering practices.
  • Strong analytical and communication skills, and the self-direction to work through ambiguous problems.


Nice to Have

  • Experience with modern architectures and frameworks such as Vision Transformers, YOLO, SAM, CLIP, diffusion models, or vision-language and multimodal systems.
  • Inference optimization and acceleration experience — quantization, pruning, distillation, ONNX, TensorRT, OpenVINO, CUDA.
  • Edge AI or embedded deployment experience.
  • Familiarity with Azure or another major cloud platform, and with MLOps tooling and ML pipelines.
  • Experience with containerized deployment with Docker
  • C++ alongside Python.
  • Publications at recognized vision or AI venues, or contributions to open-source vision projects.


Apply