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Full Time Machine Learning Data Annotation Jobs in Vancouver, BC

Remitly

Data Scientist II

Burnaby, BC · On-site

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 ...

Return-It

Power BI Developer

Burnaby, BC · On-site

Power BI Developer Position Type: Full-Time (12-Month Contract) About Us Encorp Pacific (Canada ... Experience or familiarity with machine learning techniques for data analysis, pattern recognition ...

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

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 JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Vancouver, BC

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:

Full Time Machine Learning Data Annotation jobs near you
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.

Data Scientist II

Burnaby, BC • On-site

Remitly
Finance and Insurance • 1 - 5K employees
Learn more about Remitlyexternal

CA$128K - CA$144K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago

Key responsibilities

  • Discover and deliver fraud signals that improve model performance to target and prevent various types of fraud.

  • Manage and assess risk decision policies to enhance automated fraud prevention outcomes while balancing operational and customer impacts.

  • Design and conduct experiments, such as A/B tests, to evaluate the impact of fraud decision policy changes.

Job description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

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 minimizing the impact on user experience and customer trust.

As an embedded data scientist, you will understand fraud trends, uncover new fraud signals, and use data to optimize our risk decision policies.

You Will:

  • Discover and deliver fraud signals that improve model performance to target and prevent first-party fraud, consumer fraud, and unwanted activity
  • Manage and assess risk decision policies that improve automated fraud prevention outcomes, balancing risks with operational and customer impacts
  • Design metrics and dashboards that communicate fraud model efficacy to business partners
  • Design and conduct A/B experiments to assess and understand the impact of fraud decision policy changes
  • Partner with machine learning engineers to ensure features are well-integrated and optimized for production models

You Have:

  • 3 or more years of experience using SQL and Python or R for exploratory data analysis, statistical analysis, and machine learning
  • Proficiency creating dashboards and visualizations using tools such as Tableau, Power BI, Mode, or similar technology
  • Experience designing, running, and analyzing experiments to inform business strategy
  • A degree in data science, statistics, mathematics, operations research, or related field (or equivalent experience)

Compensation Details. The starting base salary range for this position is $128,000-$144,000. In Canada, Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits

  • Four weeks vacation
  • Health Benefits
  • Mental Health & Family Forming Benefits
  • RRSP plan with company match
  • Employee Stock Purchase Plan (ESPP)
  • Life Insurance & Disability
  • Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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