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Data Annotation Canada Jobs (NOW HIRING)

Heartflow

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

... and Canada, and has been used for more than 500,000 patients worldwide. We are seeking a high ... Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ...

Telus Digital

$132K - $165K/yr

As an award-winning digital product consultancy and the digital division of TELUS, one of Canada ... Our data annotation capabilities transform raw, ambiguous data into contextually enriched training ...

Telus Digital

$168K - $210K/yr

As an award-winning digital product consultancy and the digital division of TELUS, one of Canada ... maturity and data annotation requirements. Strategic Partnerships & Go-to-Market Alignment

Telus Digital

$132K - $165K/yr

As an award-winning digital product consultancy and the digital division of TELUS, one of Canada ... maturity and data annotation requirements. Strategic Partnerships & Go-to-Market Alignment

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Data Annotation Canada information

What is data annotation and what does a data annotation job in Canada involve?

Data annotation is the process of labeling or tagging data, such as images, text, or audio, to make it usable for machine learning and artificial intelligence models. In Canada, data annotation jobs typically involve reviewing and marking up large sets of data to help train AI systems to recognize patterns or make decisions. These roles may require attention to detail, use of specialized software, and sometimes subject matter expertise depending on the type of data being annotated. Data annotation is crucial for improving the accuracy of AI models in applications like self-driving cars, natural language processing, and medical imaging. Many companies in Canada offer remote or in-office positions for data annotation specialists.

What are the key skills and qualifications needed to thrive as a Data Annotation Specialist in Canada, and why are they important?

To thrive as a Data Annotation Specialist in Canada, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a diploma or relevant training. Experience with annotation platforms such as Labelbox or Supervisely, and understanding of data formats like images, text, or audio are commonly required. Strong communication skills, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure high-quality, accurate datasets that are critical for training reliable AI and machine learning models.

What are some common challenges faced by Data Annotation professionals in Canada, and how can they be addressed?

Data Annotation professionals in Canada often encounter challenges such as maintaining high accuracy while working with large volumes of data, adapting to evolving project guidelines, and managing repetitive tasks. Effective communication with project managers and regular training can help address ambiguity in labeling instructions. Additionally, leveraging annotation tools and automated quality checks can streamline workflows, reduce errors, and support sustained productivity.
Infographic showing various Data Annotation Canada job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.
Staff Data Scientist

Staff Data Scientist

Heartflow

San Francisco, CA • On-site

$220K - $280K/yr

Full-time

Posted 6 days ago

Job description

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product-an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis-provides a color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to bridge the gap between advanced research and production-grade ML systems. You will be a key technical leader and partner to our Research Scientists, driving the evolution of our AI algorithms through rigorous data science methodologies, strategic data curation, and cross-functional leadership.
Job Responsibilities:
  • Vision & Cross-Functional Leadership: Engage with cross-functional teams (Product, Research, Engineering, and Process Engineering) and help guide the overarching vision for data analysis, curation, and annotation to improve our AI models. Drive the definition of algorithm and data requirements necessary to deliver on end-point objectives.
  • Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements. Spearhead the strategic design of data campaigns needed to advance AI algorithms.
  • Advanced Data Curation & Management: Develop comprehensive data curation strategies for improvements to AI models. Partner with MLOps to architect data management systems for algorithm training and performance validation, and establish data dashboards and monitoring reports.
  • Performance Evaluation and Statistical Analysis: Establish frameworks and develop tools to rigorously evaluate the strengths and weaknesses of model iterations across patient populations. Design and oversee data analyses using statistical techniques to illuminate the performance of our AI algorithms.

Required Qualifications:
  • Education: Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree.
  • Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI problems in medical imaging or computer vision requiring careful consideration of data needs.
  • Software: Proficient in Python, including statistical and machine learning packages (e.g. scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code. Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like 3DSlicer and MITK, a plus.
  • Statistics: Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus.
  • Data Management: Experience working with data lakes, SQL/No SQL Databases, AWS Cloud Storage, Tableau dashboards.
  • AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred.
  • (Preferred) Proficiency in Agentic AI Tools: Experience integrating generative AI and agentic tools into daily workflows to act as a force multiplier-accelerating coding, prototyping, and complex data analysis-while demonstrating the critical judgment required to rigorously evaluate AI outputs for accuracy.
  • Communication: Excellent written and verbal communication. Detail orientated but able to describe complex topics in a manner that is digestible to a broad audience. Ability to distill complex analyses into interpretable and actionable findings.
  • Commitment: Committed to the success of the team and successful completion of project - 75% confidence / 100% committed.
  • Influence without Authority: Able to build trust and obtain cross-functional alignment across departments.

A reasonable estimate of the base salary compensation range is $220,000 to$280,000, bonus, and equity. #LI-IB1 #LI-Hybrid
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with "@heartflow.com" and B) the position described is found on our careers site at www.heartflow.com/about/careers/.

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