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Machine Learning Data Associate Jobs in Ottawa, ON

Arcadion

Junior AI Developer

Ottawa, ON · On-site

Degree or diploma in Computer Science, AI/ML, Data Science, Software Engineering, or related discipline * Foundational knowledge in machine learning and NLP principles * Proficiency in Python and ...

Pleora

Software Developer

Kanata, ON

CA$80K - CA$105K/yr

... time video and data transport in 1000's of unique systems. Summary As the leader in high ... Develop software applications for video switching, machine learning, industrial inspection and ...

Spaceium

Robotic AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

You will work at the intersection of robotics, machine learning, and space systems, building AI ... Build data pipelines for training, evaluation, and deployment of models * Create simulation ...

Tomlinson

AI Specialist

Nepean, ON · On-site

Collect, clean, and transform structured and unstructured data to support generative AI, retrieval, and machine learning workloads * Develop and maintain the data models and pipelines that feed AI ...

Uottawa

APTPUO Winter 2027- MIA- 5130 (REPOST)

Ottawa, ON · On-site

CA$239.47/hr

... in AI, machine learning, or data-driven decision systems. Experience working with optimization tools and computational methods, such as Python, MATLAB, and/or optimization libraries/solvers ...

PwC

Profiler (Contract)

Ottawa, ON

CA$45K - CA$76K/yr

... Associate & Summary Our Proposals Development team supports PwC's consulting teams across ... Learning, Data Reporting, Data Storytelling, Emotional Regulation, Empathy, Employee Data ...

Larus Technologies

Software Engineer

Ottawa, ON · On-site

Learning and development opportunities. About Larus Based in Ottawa, Canada, Larus Technologies ( is a software company specializing in Artificial Intelligence (AI), Machine Learning (ML), Big Data ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Ottawa, ON

Machine Learning Data Associate information

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

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

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Ottawa, ON are hiring for Machine Learning Data Associate jobs?

Cities near Ottawa, ON with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Ottawa, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Junior AI Developer

Arcadion

Ottawa, ON • On-site

Full-time

Posted 14 days ago

Job description

About Arcadion

Arcadion is a leading full-stack enterprise IT services and AI development firm headquartered in Ottawa. We specialize in delivering cutting-edge solutions across cloud infrastructure, cybersecurity, digital transformation, and AI automation. Our AI division is at the forefront of building intelligent systems, enterprise AI agents, and next-generation tools using advanced language models (LLMs), RAG pipelines, and machine learning technologies.

We are looking for a Junior AI Developer to join our in-house team at our Ottawa headquarters. This is a full-time, on-site position offering a unique opportunity to work directly with senior engineers and the Director of AI on innovative projects that span across sectors like healthcare, finance, construction, robotics, and legal tech.


Role Overview

As a Junior AI Developer, you’ll support the design, development, testing, and deployment of AI and machine learning applications. You will contribute to real-world use cases involving custom LLM integrations, automation agents, document intelligence systems, and AI-enhanced enterprise tools.

Key Responsibilities

  • Work closely with the Director of AI on the development of AI agents, copilots, and intelligent automation tools
  • Assist in building, testing, and fine-tuning large language models and retrieval-augmented generation (RAG) pipelines
  • Contribute to prompt engineering and integration of LLMs into web-based or API-driven applications
  • Support data preprocessing, embedding, and vector database structuring (e.g., Pinecone, Weaviate)
  • Write clean, testable Python code and support REST API integrations
  • Participate in QA testing, performance benchmarking, and debugging AI system behavior
  • Stay updated on emerging tools, frameworks, and trends in the AI ecosystem
  • Collaborate with cross-functional teams including DevOps, cloud engineers, and UI/UX designers

✅ Requirements

  • Degree or diploma in Computer Science, AI/ML, Data Science, Software Engineering, or related discipline
  • Foundational knowledge in machine learning and NLP principles
  • Proficiency in Python and familiarity with ML libraries like scikit-learn, PyTorch, or TensorFlow
  • Understanding of APIs, JSON, Git-based version control, and cloud fundamentals
  • Excellent problem-solving skills and attention to detail
  • Willingness to work on-site full-time in our Ottawa office (this is not a hybrid or remote role)

Bonus Skills (Assets)

  • Exposure to LLMs such as OpenAI, Claude, Mistral, or LLaMA
  • Experience with LangChain, Hugging Face Transformers, or similar frameworks
  • Basic experience with vector databases or embedding models
  • Familiarity with Azure, AWS, or GCP
  • Interest in chatbot development or knowledge-based search applications

What You’ll Gain

  • Direct mentorship from experienced AI architects and our Director of AI
  • Access to real-world enterprise projects and hands-on development with production-grade models
  • Growth path toward senior AI engineering or solution architecture roles
  • An innovative and supportive team environment inside one of Ottawa’s leading IT firms
  • Competitive compensation and performance-based opportunities

Apply Now

If you're ready to kickstart your career in AI and want to be part of a forward-thinking team building real-world applications, we’d love to meet you.