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Machine Learning Data Associate Jobs in Kitchener, ON

TransUnion

Principal, Fraud Analytics

Burlington, ON · On-site

Data Science & Modeling : Oversee the development of machine learning models, rules engines, and ... We strive to build an environment where our associates are in the driver's seat of their ...

Ag

Sr AI/ML Software Developer

Waterloo, ON · Hybrid

Independently own and drive the end-to-end Machine Learning lifecycle (MLOps), from model packaging ... Lead technical design and implementation of data pipelines (ETL/ELT) to ensure high-quality ...

Manulife

AVP, AI Delivery

Waterloo, ON · On-site

... data teams, and AI practitioners to accelerate the delivery of innovative AI-powered capabilities ... Experience leading the delivery of enterprise AI, machine learning, generative AI, intelligent ...

Teledyne

AI & Automation Engineering Co-op

Waterloo, ON · On-site

CA$46K - CA$61K/yr

Experience with machine learning, computer vision, or image processing. * Familiarity with data analysis, databases, or dashboard development. * Exposure to manufacturing, test, or automation ...

New

Linamar

Apprentice - Machinist

Guelph, ON

... verify accuracy of machine setting or programmed control data. Adjust and set up machining ... Possess drive and motivation to maintain continuous learning from daily work activities What ...

Linamar

Apprentice - Machinist

Guelph, ON

... verify accuracy of machine setting or programmed control data. Adjust and set up machining ... Possess drive and motivation to maintain continuous learning from daily work activities What ...

Sonova

Senior Software Developer

Kitchener, ON · Hybrid

... or machine learning, or data visualization tools such as Apache Superset is a plus Precise, self-driven, and quality-focused approach to work Excellent written and verbal communication skills in ...

Providius

Quality Assurance Lead

Hamilton, ON · On-site

Experience validating data pipelines or machine learning systems * Familiarity with simulation, synthetic data, or scenario-based testing * Experience with chaos, fault-injection, or resilience ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Kitchener, 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 Kitchener, ON are hiring for Machine Learning Data Associate jobs?

Cities near Kitchener, 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 Kitchener, ON as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Professor, Computer Science

Mohawk College

Hamilton, ON • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

Status: Full Time

Hours: Teaching is normally scheduled between 8:00 am and 10:00 pm, Monday - Friday. In accordance with the Collective Agreement, workload may be up to 44 hours per week.

Home Campus: Fennell

Rate of Pay: 77,153 - 133,752 per year

Start Rate: Upon hire, Human Resources will conduct a rate calculation based on completed education and work experience to determine the step within the range as per the Collective Agreement.

Vacancy Status: 1 vacancy available

Posting Date: July 27th, 2026

Closing Date: August 14th, 2026 at 7:00 pm EST

Consideration will be given to qualified internal full-time academic and partial load employees first, in accordance with the Collective Agreement requirements.

Please be advised that the successful incumbent will be required to provide Mohawk College with copies of academic credentials and official transcripts at the point of hire.

We believe the rich diversity among our students and the communities we serve should be reflected within our workforce. As educators, we believe it is important to act and show leadership in advancing the principles of reconciliation, equity, diversity, and inclusion in our community.

Job Summary

Mohawk College seeks a qualified candidate for a full-time professor position who will be instructed into various programs in our Computer Science and Information Technology programs, as well as other advanced diploma and other degree programs.

  • Possess a student centric attitude toward the instruction of students at both an introductory and senior level and the ability and interest in mentoring students.
  • Possess the ability to teach a variety of undergraduate computer science classes including courses in Python, Java, Programming in .NET, Server-side web programming, Natural Language Processing, Machine Learning, Data Management for Artificial Intelligence and Internet of Things.
  • Can teach a variety of Cybersecurity concepts including Cyber Security Asset security, auditing, security strategy, identity and access management and software development.  Can instruct students on security efficacy frameworks in the present industry.
  • Depending on business needs, it may also teach foundational programming to other networking and software programs within the Computer Science portfolio.
  • Ability and interest in developing, maintaining, and enhancing course materials to remain current with future industry standards.

Applicants with both industry and academic experience in Computer Science, particularly in AI tools and technologies, are encouraged to apply. A Ph.D is preferred.

What you'll be doing:

  • Teaching the theory and practical application components.
  • Creating a positive and innovative student-centered learning environment in both the classroom and laboratory settings.
  • Using a variety of teaching strategies is most appropriate for the curriculum for both postsecondary and apprentices.
  • Using a variety of techniques to evaluate student achievement of learning outcomes.
  • Managing the educational environment to facilitate an optimal learning experience and student success.
  • Evaluating, revising and developing learning resources within the program.
  • Enhancing educational delivery and experiences through the use of technology to facilitate student learning.
  • Applying college values and philosophy in work activities and interaction with others.
  • Using the college's learning management system to present curriculum, testing and online activities.
  • Delivering a mix of courses that are online, hybrid, and in person depending upon operational work assignments.

Other duties as assigned.

What you'll bring to the role:

  • The incumbent should have a Master's Degree/Ph.D in Computer Science (Ph.D preferred).
  • Recognized industry certifications in networking, cloud computing AI and/or security.
  • Experience teaching at the post-secondary level (college or university) is strongly preferred.
  • Five or more years of industry experience (non-academic) is preferred.
  • Experience in conducting independent research is preferred, and there will be an expectation in the role to develop and engage in original research.
  • Candidate must possess excellent written and verbal communication skills.
  • Ability to relate theoretical knowledge and practical applications through innovative delivery methods to provide a meaningful learning environment for students of diverse backgrounds and ages.
  • Learner-centred approach and to assist in the development and application of alternate delivery methods.
  • Demonstrated commitment and understanding of human rights, equity, diversity, inclusion, and accessibility.
  • The ability to communicate and work effectively with diverse students, employees, and communities.

What we offer:

  • Defined Benefit pension plan (CAAT) with contributions matched by Mohawk College.
  • 93% top up of maternity and parental leave pay for 52 weeks.
  • Generous vacation time.
  • Access to Employee Family Assistance Program, including counselling services, financial literacy services, nutrition advice, and more.
  • Comprehensive benefits package including health, dental, vision, paramedical services (massage therapy, acupuncture, naturopathy, psychotherapy and psychology), short-term and long-term disability.

To find out more about working at Mohawk College, including our Employee Value Proposition, please visit https://www.mohawkcollege.ca/about-mohawk/careers-at-mohawk

We are committed to reconciliation and nurturing an inclusive, diverse, equitable, and accessible (IDEA) environment for everyone who learns and works at Mohawk College. We welcome applications from racialized persons, women, Indigenous people, persons with disabilities, 2SLGBTQIA+ persons, and others who may contribute to the further diversification of ideas.

The College is committed to fostering inclusive and barrier-free recruitment and selection processes. If you require accommodation during any stage of the recruitment process, please contact Human Resources.

To learn more about Mohawk College's commitments, please visit the Mohawk College strategic plan webpage: https://www.strategicplan.mohawkcollege.ca/

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