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Freelance 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 · 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 ...

Are you a technically strong and businessoriented Machine Learning / AI Engineer with a passion for ... Collaborate with data engineers to ensure reliable, scalable data pipelines that support model ...

Are you a technically strong and businessoriented Machine Learning / AI Engineer with a passion for ... Collaborate with data engineers to ensure reliable, scalable data pipelines that support model ...

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 ...

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 ...

... machine learning. Traditional approaches to small molecule drug discovery require over ten years ... We are searching for a chemical data scientist / cheminformatician to join us in our quest to ...

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

Freelance Machine Learning Data Annotation information

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.

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 Freelance Machine Learning Data Annotation jobs in Vancouver, BC?

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

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

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

Infographic showing various Freelance Machine Learning Data Annotation job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Machine Learning Developer

Weir Group

Vancouver, BC • 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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