ZipRecruiter

Log In

1

3D Annotation Jobs in Toronto, ON (NOW HIRING)

OpenSpace

Sr. Computer Vision Engineer

Toronto, ON

CA$168K - CA$220K/yr

Develop and optimize image localization, SLAM, SfM, and 3D reconstruction techniques. * Implement ... Oversee dataset creation, curation, and annotation to ensure high-quality training and validation ...

Egis Group

Staging CAD Designer - Traffic

Hamilton, ON · Hybrid

Proficiency in AutoCAD Civil 3D , MicroStation , or OpenRoads . * Experience producing engineering ... annotation, and sheet layouts. * Experience incorporating design revisions and markups into ...

Alberici Canada

CAD Technician

Burlington, ON

Prepare, update, and maintain 2D and 3D CAD drawings and models in accordance with project ... management, annotation, and formatting. * Collaborate with team members to resolve design or ...

All Jobs3D Annotation Jobs3D Annotation Jobs in Toronto, ON

3D Annotation information

What is 3D annotation?

3D annotation is the process of labeling or tagging objects, features, or areas within three-dimensional data, such as point clouds, meshes, or 3D images. It is commonly used in fields like autonomous driving, robotics, and augmented reality to help machine learning models understand and interpret 3D environments. Annotators may identify and classify objects, draw bounding boxes, or segment specific regions within the 3D space. This data is crucial for training and validating AI systems to recognize and interact with real-world objects accurately.

What are the key skills and qualifications needed to thrive as a 3D annotation specialist, and why are they important?

To excel as a 3D Annotation Specialist, you need attention to detail, spatial awareness, and basic knowledge of 3D modeling or computer vision, often supported by a background in computer science or related fields. Familiarity with 3D annotation tools like Supervisely, CVAT, or Labelbox, and experience with relevant file formats and data management systems, are typically required. Strong problem-solving skills, patience, and effective communication help individuals stand out in this meticulous, collaborative role. These skills ensure accurate data labeling, which is crucial for the development and training of reliable AI and machine learning models.

What are the typical challenges faced when working in 3d annotation roles, and how can they be addressed?

Professionals in 3D annotation often encounter challenges such as maintaining accuracy while labeling complex objects from multiple angles and ensuring consistency across large datasets. The work can be repetitive, requiring strong attention to detail and patience to avoid errors that may impact downstream machine learning models. Collaboration with data scientists, software engineers, and QA teams is essential to clarify guidelines and resolve ambiguities. Adopting efficient annotation tools and proactive communication within the team can help overcome these challenges and improve workflow efficiency.

What are popular job titles related to 3D Annotation jobs in Toronto, ON?

For 3D Annotation jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching 3D Annotation jobs in Toronto, ON look for?

The top searched job categories for 3D Annotation jobs in Toronto, ON are:

3D Annotation jobs near you
Infographic showing various 3D Annotation job openings in Toronto, ON as of August 2026, with employment types broken down into 69% Full Time, 24% Part Time, and 7% Contract. Highlights an 96% In-person, and 4% Remote job distribution.

Sr. Computer Vision Engineer

OpenSpace

Toronto, ON

CA$168K - CA$220K/yr

Full-time

Posted 19 days ago

Job description

At OpenSpace, we're redefining how the world's most complex projects are built. Our AI-powered Visual Intelligence Platform uses computer vision and spatial AI to give construction teams a real-time view of what's happening on-site, helping them build faster, safer, and with greater confidence.

But what truly sets us apart is our people. We hire curious, driven teammates who love solving hard problems, taking ownership, and making a real-world impact. Great people build great culture—and apparently it shows. Forbes has named OpenSpace one of America's Best Startup Employers five years in a row. Come see what all the fuss is about.✨

Brief summary of role:

We're looking for an experienced Sr. Computer Vision Engineer to own core algorithms for mapping, localization, image analysis, and 3D reconstruction on real-world construction site data. This role centers on advanced computer vision but integrates modern machine learning methodologies to optimize performance on real-world construction site data. You will leverage classical CV, deep learning (transformers, multi-modal models), and probabilistic modeling to provide meaningful insights to our customers.

What you'll be doing:

  • Design and architect complex, multi-component computer vision and machine learning systems.
  • Develop and optimize image localization, SLAM, SfM, and 3D reconstruction techniques.
  • Implement deep learning models for visual perception, leveraging modern techniques (LLMs, VLLMs, transformers, and generative AI).
  • Prototype and rigorously test algorithms on real-world construction site data.
  • Collaborate with platform engineers to transition research prototypes into production-ready implementations.
  • Oversee dataset creation, curation, and annotation to ensure high-quality training and validation data.
  • Monitor system performance in production, ensuring scalability and robustness.

What we are looking for:

  • M.S./Ph.D. in related field or equivalent industry experience.
  • 5+ years of industry experience developing computer vision and machine learning models for image processing.
  • Strong expertise in camera models, calibration, and 3D pose representations/transforms.
  • Experience with SLAM, SfM, 3D reconstruction, photogrammetry, or VIO.
  • Proficiency in deep learning frameworks (e.g., PyTorch).
  • Experience working with multi-modal models combining images and language.
  • Deep understanding of fundamental CV: feature detection/matching, probabilistic modeling, computational geometry, and numerical optimization.
  • Experience with 3D visualizations and debug interfaces (OpenGL/PyQt).

Why join us:

  • Be part of a high-growth company shaping the future of ConTech
  • Work alongside a talented and collaborative team
  • Competitive compensation package, including base salary, commission, and benefits
  • Opportunities for professional development and career growth

Base Salary: $168,000 - $220,000 CAD

OpenSpace welcomes employees from varied backgrounds and walks of life, and it's reflected in our diverse community. OpenSpace is proud to be an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.