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Full Time Machine Learning Data Annotation Jobs in Vancouver, BC

About You Basic Qualifications: * 5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning ...

Senior Machine Learning Engineer

Burnaby, BC ยท On-site

CA$168K - CA$210K/yr

Partner with data scientists, product owners, and engineers across verticals to turn prototypes into reliable, customer-facing ML systems. * Optimize models and pipelines using MLOps best practices ...

VANCOUVER, BC (OR REMOTE IN CANADA) / FULL TIME Variational AI is radically accelerating the ... machine learning. Traditional approaches to small molecule drug discovery require over ten years ...

Manager, Machine Learning Engineering

Vancouver, BC ยท Remote

CA$181K - CA$272K/yr

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing ... Collaborate cross-functionally with MLOps engineering, product management, operations, and data ...

Data Scientist III

Vancouver, BC ยท Hybrid

CA$107K - CA$132K/yr

Design, develop, and deploy machine learning models, advanced analytics, and Generative AI ... Regular Full Time | Location: Vancouver | Workplace Type: #LI - Hybrid

Title and Summary Data Scientist II Overview The Security Solutions Data Science team is responsible for developing Artificial Intelligence (AI) and Machine Learning (ML) models that power Mastercard ...

Title and Summary Director, Data Science Overview The Security Solutions Data Science team is responsible for delivering Artificial Intelligence (AI) and Machine Learning (ML) models that support ...

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Showing results 21-40

Full Time Machine Learning Data Annotation information

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Vancouver, BC?

The most popular types of Machine Learning Data Annotation jobs in Vancouver, BC are:

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Vancouver, BC?

For Full Time Machine Learning Data Annotation jobs in Vancouver, BC, the most frequently searched job titles are:

What job categories do people searching Full Time Machine Learning Data Annotation jobs in Vancouver, BC look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in Vancouver, BC are:

Infographic showing various Full Time Machine Learning Data Annotation job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Machine Learning Developer

Weir Group

Vancouver, BC โ€ข Hybrid

Full-time

Medical, Life

Re-posted 11 days ago


Key responsibilities

  • Develop and deploy machine learning solutions for mining operations.

  • Own projects from research through to production and monitor their performance.

  • Collaborate with multidisciplinary teams to translate machine learning innovations into practical products.


Job description

Senior Machine Learning Developer

Vancouver - Hybrid


Job Summary
Shape the future of AI in mining by developing production-ready machine learning solutions that drive safer, smarter and more sustainable operations.

Key Selling Points

  • Build AI products deployed at leading global mining sites
  • Own projects from research through to production
  • Join Weir - global organization dedicated to build a better future.

About Us
We are a global mining software business bringing together the expertise of Micromine, Motion Metrics and Fast2Mine.
Our solutions help mining companies explore, design, plan and operate more effectively through industry-leading software, ruggedized sensing, AI, machine vision and automation technologies. From geology and mine planning to fleet performance and operational optimisation, we help customers improve productivity, efficiency and sustainability across the mining value chain.
Backed by Weir's global reach and resources, we combine deep mining expertise with a strong innovation roadmap, delivering trusted technology solutions used by mining operations around the world.

The Opportunity
Join Weir Motion Metrics in Vancouver, BC, and help advance the next generation of AI and machine vision solutions transforming the mining industry. Working within Weir, you'll collaborate with multidisciplinary experts to take cutting-edge machine learning innovations from concept to deployment, creating measurable impact for mining operations worldwide.

The Impact you'll have

  • Deliver AI solutions that improve safety and efficiency in mining operations
  • Influence the direction of innovative machine learning products
  • Work on complex real-world challenges with large-scale datasets
  • Gain exposure across edge, embedded, cloud and computer vision technologies
  • Collaborate with world-class AI, software and engineering professionals
  • Accelerate your growth within a global technology and innovation leader
  • Stay closely connected with the AI community and academic research to help translate emerging advancements into practical product opportunities
  • Help close the gap between the latest AI breakthroughs and production-ready mining technology offerings
  • Own AI solution roadmap planning and drive continuous performance improvement through close communication with customer success and support teams

What you need to succeed

  • Master's degree or higher in Computer Science, Engineering or related field
  • 3+ years of machine learning development experience
  • Academic publications and an active presence in the AI research community are considered strong assets
  • Strong collaboration skills across AI, cloud, edge, software and broader R&D teams
  • Interest in mentoring machine learning developers and contributing to shared engineering practices
  • Ability to contribute to documentation, presentations and governance activities for AI products and solutions
  • Deep understanding of machine learning and computer vision techniques
  • Proficiency in Python programming and AI model prototyping, with hands-on experience using frameworks such as TensorFlow, PyTorch and OpenCV
  • Experience developing production-ready machine learning solutions
  • Experience designing, prototyping and developing AI solutions from ideation through deployment and performance monitoring

What you can expect from us

  • Extended health benefits, including allowances for family and wellness expenses
  • A base salary range of CAD 100,000 to 160,000 DoE plus bonus
  • RRSP matching
  • Hybrid working arrangements to balance work and home life
  • Opportunities for professional development and progression
  • A team first culture and the chance to work within the mining technology industry

Apply Now
Are you ready to help transform the future of mining through AI, automation and data-driven innovation? Join Weir Motion Metrics and make a lasting impact on some of North America's most influential mining operations while building the next chapter of your career.

To learn more, visit our website at Motion Metrics or LinkedIn Page.
Weir Software Solutions is dedicated to fostering a diverse and inclusive work environment, and we welcome applicants from a variety of backgrounds to apply.


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