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Freelance Machine Learning Data Annotation Jobs in Vancouver, BC

Teck

Data Scientist III

Vancouver, BC · Hybrid

CA$107K - CA$132K/yr

Design, develop, and deploy machine learning models, advanced analytics, and Generative AI ... Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field ...

Remitly

Data Scientist II

Burnaby, BC

CA$128K - CA$144K/yr

The Trust Machine Learning team protects Remitly's customers by developing intelligent systems that prevent fraud. These systems assess the risk of every transaction and customer interaction, while ...

Amazon

Applied Scientist, Tax Engine

Vancouver, BC · On-site

As an Applied scientist, you will provide machine learning leadership to the team that helps ... data You will help us innovate different ways to enhance tax classification experience for our ...

DataVisor

Software Engineer - Canada

Vancouver, BC · On-site

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and ...

DataVisor

Software Engineer - Canada

Vancouver, BC · Remote

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and ...

Autodesk

Software Architect, AI/ML

Vancouver, BC · On-site

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience * 8+ years building cloud-native software in production (distributed systems ...

Photon

GEN AI/ML Developer - Mississauga

Vancouver, BC · On-site

Required Skills and Qualifications: * 6+ years of strong background in machine learning and deep ... Skills in data preprocessing and feature engineering for AI model training. * Strong understanding ...

Workday

AI Engineer

Vancouver, BC · On-site

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 ...

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All JobsMachine Learning Data Annotation JobsFreelance Machine Learning Data Annotation JobsFreelance Machine Learning Data Annotation Jobs in Vancouver, BC

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:

Freelance Machine Learning Data Annotation jobs near you
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.

Data Scientist III

Teck

Vancouver, BC • Hybrid

CA$107K - CA$132K/yr

Full-time

Re-posted yesterday

Key responsibilities

  • Design, develop, and deploy machine learning models, advanced analytics, and Generative AI solutions in production environments.

  • Implement and maintain robust workflows, including experiment tracking, model versioning and performance evaluation, production model monitoring, drift detection, and retraining strategies.

  • Collaborate with cross-functional teams to understand business challenges and translate them into data-driven solutions.

Job description

Location: Vancouver, BC, Canada
Employment Type: Regular Full Time
Workplace Type: Hybrid

About our Vancouver Office

Located in the heart of downtown Vancouver, between the Pacific Ocean and the Coast Mountains, Teck’s Corporate Office sits in one of Canada’s most culturally diverse cities. 

Surrounded by world-renowned nature and globally inspired cuisine, the office brings together many of Teck’s corporate functions - all working toward Teck’s purpose of providing the essential resources the world relies on.

Role Overview

Reporting to the Lead, Data Scientist, the Data Scientist who joins the team is someone who excels in statistical modeling, machine learning, and AI, while also possessing strong capabilities in productionizing solutions and implementing mature workflows.

The successful candidate will work on end-to-end data science projects, from data exploration and model development to deployment and monitoring in production environments. Domain expertise in industrial contexts such as processing and mining is a significant advantage. Strong communication skills are essential to effectively share insights, educate stakeholders, and demonstrate the value of developed solutions.

Don't miss out on this outstanding opportunity to be part of one of Canada's leading mining companies and join our team!

Key Responsibilities
  • Be a courageous safety leader, adhere to and sponsor safety and environmental rules and procedures.
  • Design, develop, and deploy machine learning models, advanced analytics, and Generative AI solutions in production environments.
  • Implement and maintain robust workflows, including experiment tracking, model versioning and performance evaluation, production model monitoring, drift detection, and retraining strategies.
  • Collaborate with cross-functional teams to understand business challenges and translate them into data-driven solutions.
  • Collect, process, and analyze large-scale datasets from diverse sources using modern data engineering practices.
  • Ensure scalability, reliability, and security of data pipelines and deployed models.
  • Communicate findings clearly to technical and non-technical stakeholders, emphasizing model interpretability, actionable insights, and a clear understanding of the key drivers behind model behavior.
  • Continuously evaluate and improve models based on feedback and evolving business needs.
  • Stay current with emerging technologies and best practices in data science, machine learning, and industrial analytics.
Qualifications
  • Master’s or PhD in Data Science, Computer Science, Statistics, or a related quantitative field, with strong practical experience in applying Data Science techniques to real world problem settings.
  • 5+ years of experience in data science, with proven expertise in machine learning and statistical modeling. Experience with causal inference or causal modeling approaches is a plus.
  • Hands-on experience in productionizing ML solutions and implementing MLOps practices (e.g., CI/CD for ML, model monitoring, experiment tracking).
  • Strong programming skills in Python and proficiency with ML frameworks (Scikit-learn).
  • Experience with cloud platforms (e.g. Microsoft Azure), modern analytics platforms such as Databricks, and containerization (Docker).
  • Solid understanding of data development principles and distributed systems.
  • Familiarity with industrial domains such as processing and mining is highly desirable.
  • Excellent communication and presentation skills to convey technical concepts to diverse audiences.
  • Ability to work collaboratively in agile teams and adapt to fast-paced environments.
  • Passion for innovation, continuous improvement, and a strong focus on delivering tangible value through data-driven solutions.

Pay Range: CAD $107,000 - $132,000 per year

The actual amount offered is determined based on the successful candidate’s relevant experience, skills, and competencies and considers internal equity.

Why Teck

At Teck, your work matters—to the world, to our communities and to your future.


As a leading Canadian resource company, we focus on responsibly providing the metals essential for global development and the energy transition while caring for the people, communities and land that we love. We do this guided by our values that, together, form The Teck Way.

At Teck, you’ll find purpose-driven work, a culture of respect and inclusion, and the opportunity to grow your career while helping build a better world.

Apply with us 

Take the next step in your career by applying for the Data Scientist III role.

We review applications on a rolling basis and encourage you to apply, even if your background doesn’t match every requirement. We value diversity and are committed to an inclusive, barrier-free hiring process. Reasonable accommodations are available upon request.

Requisition ID: 54038 | Job Category: Technology | Employment Type: Regular Full Time | Location: Vancouver | Workplace Type: #LI - Hybrid

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