ZipRecruiter

Log In

1

Quality Engineer Intern Jobs in Toronto, ON (NOW HIRING)

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Improve intelligent model routing based on task complexity, quality, latency, and cost. * Build ...

Perseus Group

Software Developer Intern

Markham, ON

CA$22.50 - CA$27.50/hr

The Software Developer Intern works in a Scrum team to build high-performing, resilient, and ... Evaluate the quality and reliability of AI-assisted output against real coding tasks; iterate to ...

Alstom

Engineering Intern (Fall 2026)

Toronto, ON

Could you be the full-time Engineering Intern (Fall 2026) in Willowbrook we're looking for? Job ... Participating in design reviews, project planning, and quality assurance activities * Completing ...

Alstom

Engineering Intern (Fall 2026)

Toronto, ON

Could you be the full-time Engineering Intern (Fall 2026) in Willowbrook we're looking for? Job ... Participating in design reviews, project planning, and quality assurance activities * Completing ...

Trend Micro

Malware Research Intern

Toronto, ON

Reverse-engineer malware samples to identify malware communication mechanisms and analyze malware ... Great attention to details, personal QA, and strong problem-solving skills. * Proficient English ...

Hitachi

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

Intern Orientation * Online Onboarding Curriculum * Buddy Program for mentorship and guidance Hands ... engineering operations. * Process & Quality Assurance: Documenting the data processing steps for ...

CMiC

Software Engineer Co-op

Toronto, ON · On-site

CA$20 - CA$24/hr

... engineering intern to join our team and help modernize and support our enterprise legacy ... Write clean, well-documented code and assist with testing and quality assurance * Participate in ...

New

next page

Showing results 1-20

All JobsQuality Engineer Intern JobsQuality Engineer Intern Jobs in Toronto, ON

Quality Engineer Intern information

See Toronto, ON salary details

$5

$18

$25

How much do quality engineer intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for quality engineer intern in Toronto, ON is $18.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.29 and $18.81 per hour, depending on experience, location, and employer.

What is a quality engineer intern?

Quality Engineer Interns are students or recent graduates who assist quality engineers in ensuring that products and processes meet established standards and specifications. They typically work under supervision to conduct tests, analyze data, and help identify areas for improvement in manufacturing or service processes. Their work contributes to maintaining product quality, compliance, and customer satisfaction while providing them with valuable practical experience in quality assurance and control.

What are the key skills and qualifications needed to thrive as a quality engineer intern, and why are they important?

To thrive as a Quality Engineer Intern, you need a foundational understanding of quality assurance principles, process improvement, and basic engineering concepts, often supported by progress toward a degree in engineering or a related field. Familiarity with tools such as statistical analysis software, quality management systems (QMS), and measurement equipment is typically expected. Strong attention to detail, analytical thinking, and effective teamwork are crucial soft skills for this role. These competencies are essential to ensuring product quality, identifying process improvements, and supporting the overall effectiveness of the engineering team.

What types of projects and responsibilities can a quality engineer intern expect during their internship?

As a Quality Engineer Intern, you can expect to work on a variety of projects such as assisting with process audits, analyzing product defects, and helping to develop and implement quality control procedures. Typically, interns collaborate closely with experienced engineers and production teams to collect data, identify trends, and recommend improvements. You may also participate in root cause analysis or help prepare documentation for compliance purposes. These hands-on experiences are designed to build your understanding of quality standards and manufacturing processes, setting a strong foundation for future roles in quality engineering.

What is the difference between Quality Engineer Intern vs Quality Assurance Intern?

AspectQuality Engineer InternQuality Assurance Intern
Required CredentialsTypically pursuing or recent graduate in engineering, quality management, or related fieldsOften pursuing or recent graduate in quality assurance, industrial engineering, or related areas
Work EnvironmentHands-on engineering tasks, process improvement, data analysisTesting, documentation, process validation, and compliance activities
Employer & Industry UsageManufacturing, automotive, aerospace, tech companiesSoftware, manufacturing, healthcare, and service industries

While both roles focus on quality, the Quality Engineer Intern typically engages in engineering-based tasks like process improvement and data analysis, whereas the Quality Assurance Intern concentrates on testing, documentation, and ensuring compliance. Both positions serve as entry points into quality roles within various industries, with overlapping skills but different focus areas.

What are the most commonly searched types of Quality Engineer jobs in Toronto, ON?

The most popular types of Quality Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Quality Engineer Intern jobs?

Cities near Toronto, ON with the most Quality Engineer Intern job openings:

Quality Engineer Intern jobs near you
Infographic showing various Quality Engineer Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $38,194 per year, or $18.4 per hour.

AI Engineer Intern

ShyftLabs

Toronto, ON • Hybrid

CA$20 - CA$30/hr

Internship

Posted 25 days ago

Job description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth through innovative digital solutions that drive real business impact. With teams across Canada, the U.S., and India, we're growing quickly and looking for curious, motivated individuals who are excited to learn, build, and solve meaningful problems with technology.

About Continuum

Continuum is an enterprise AI agent execution and control platform designed to help teams build, run, and deploy reliable agentic applications. It provides agent orchestration, multi-model routing, persistent memory, tool integration, durable workflows, governance, guardrails, evaluation, and observability.

We are looking for an AI Engineer Intern interested in building production-ready AI agents and applications. You will contribute to the Continuum platform while also using it to build agentic applications for real enterprise use cases.

This is a hands-on engineering role. You will work across agent orchestration, memory systems, model optimization, retrieval, tools, guardrails, evaluation, and application development.

What You'll Be Doing

  • Build and improve agent orchestration and multi-agent workflows.

  • Develop agentic applications for enterprise use cases using Continuum.

  • Work with different commercial and open-source models, including OpenAI, Anthropic, Gemini, Llama, Qwen, Mistral, and others.

  • Improve intelligent model routing based on task complexity, quality, latency, and cost.

  • Build persistent memory and state-management capabilities for long-running agent workflows.

  • Develop tool-calling functionality and integrations with APIs, databases, and enterprise systems.

  • Work with MCP servers and function tools to connect agents with external services.

  • Design context-engineering and retrieval pipelines using vector and graph databases.

  • Implement AI guardrails for safety, security, access control, data privacy, and policy enforcement.

  • Create evaluation pipelines to measure accuracy, groundedness, hallucination, tool usage, workflow completion, latency, and cost.

  • Improve the observability and traceability of agent decisions, tool calls, and workflow execution.

  • Optimize prompts, model usage, token consumption, response time, and infrastructure costs.

  • Build APIs, backend services, and user-facing prototypes for agentic applications.

  • Write clean, reusable, well-tested, and documented Python code.

  • Contribute to Continuum's open-source codebase, examples, documentation, and developer experience.

What We Are Looking For

  • Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.

  • Strong programming skills in Python.

  • Good understanding of machine learning, natural language processing, and LLM fundamentals.

  • Experience building at least one LLM-powered or agentic application.

  • Familiarity with prompt engineering, embeddings, RAG, tool calling, and structured outputs.

  • Experience working with APIs, Git, databases, and standard software engineering practices.

  • Ability to research complex technical problems, experiment with different approaches, and clearly communicate results.

  • Strong interest in building reliable AI systems, not just basic LLM demos

Nice to Have

  • Experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or similar technologies.

  • Familiarity with OpenAI, Anthropic, Gemini, AWS Bedrock, or open-source models.

  • Experience with vector databases such as Milvus, Pinecone, Weaviate, or Chroma.

  • Experience with graph databases such as Neo4j.

  • Knowledge of PostgreSQL, Redis, Docker, Kubernetes, or cloud infrastructure.

  • Familiarity with AI observability and evaluation tools such as Langfuse.

  • Understanding of multi-tenancy, identity management, authorization, or enterprise security.

  • Experience with model routing, inference optimization, prompt compression, or cost optimization.

  • Contributions to open-source AI projects, research, hackathons, or technically strong personal projects.

Hourly Pay
  • $20 - $30/Hr (CAD)
Why You'll Love Working at ShyftLabs
 
At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
 
Here's what you can expect when you join our team:
-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office.
-Downtown Toronto Office: Work in the heart of the city.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
 
Inclusion at ShyftLabs
 
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
apply for this job

Apply