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Internship Project Jobs in Toronto, ON (NOW HIRING)

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Internship Project information

See Toronto, ON salary details

$8

$20

$51

How much do internship project jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for internship project in Toronto, ON is $20.51, according to ZipRecruiter salary data. Most workers in this role earn between $13.31 and $22.02 per hour, depending on experience, location, and employer.

What is an internship project?

An internship project is a specific assignment or set of tasks given to an intern during their internship period. It is designed to provide hands-on experience and help interns apply the knowledge and skills they have learned in a real-world setting. Internship projects can vary by industry, but they often involve working on a problem, conducting research, or contributing to a team effort. The goal is to give interns practical exposure, enhance their learning, and sometimes even contribute meaningful results to the company or organization.

What types of projects or tasks can I expect to work on during an internship project role?

Internship Project roles typically involve supporting ongoing projects within a team, allowing interns to gain practical experience in their field of study. You may be assigned tasks such as conducting research, assisting with data analysis, supporting project documentation, or collaborating on presentations. Interns often work closely with mentors and team members, providing opportunities to learn through hands-on participation and regular feedback. The scope of your responsibilities will depend on the organization's needs and the duration of your internship, but you can generally expect a mix of independent and collaborative work.

What are the key skills and qualifications needed to thrive in an internship project role, and why are they important?

To thrive in an Internship Project role, candidates typically need a foundational understanding of the relevant industry or academic field, strong organizational skills, and current enrollment in a related degree program. Familiarity with standard office software, project management tools, or industry-specific platforms is often expected. Proactive communication, adaptability, and a willingness to learn are crucial soft skills for excelling during an internship. These qualities enable interns to contribute effectively, maximize learning opportunities, and build a strong foundation for future career growth.

What is the difference between Internship Project vs Data Analyst?

AspectInternship ProjectData Analyst
Required CredentialsTypically students or entry-level, may require coursework in data or related fieldsBachelor's degree in data science, statistics, or related field; certifications like SQL or Excel often preferred
Work EnvironmentTemporary, project-based, often in educational or training settingsFull-time or part-time professional role in corporate, finance, healthcare, or tech industries
Employer & Industry UsageUsed by companies for training, talent scouting, or project-specific tasksCore role in organizations for analyzing data, generating reports, and supporting decision-making

The main difference is that an Internship Project is a temporary, learning-focused experience often for students, while a Data Analyst is a professional role requiring specific skills and ongoing responsibilities in analyzing data within organizations.

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

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

What cities near Toronto, ON are hiring for Internship Project jobs?

Cities near Toronto, ON with the most Internship Project job openings:

Infographic showing various Internship Project job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $42,656 per year, or $20.5 per hour.

Generative AI & Machine Learning Developer

Toronto, ON โ€ข Remote

Full-time

Posted 9 days ago


Job description

Generative AI & Machine Learning Developer
Location: Canada – Fully Remote
Experience: 0–9 Years
Employment Type: Full-Time
Position Overview
We are seeking a motivated Generative AI & Machine Learning Developer to contribute to the design, development, and implementation of AI-driven solutions. Candidates with strong academic, internship, project, or professional experience are encouraged to apply.
Key Responsibilities
  • Develop and integrate Generative AI and Machine Learning solutions using Python.
  • Work with Large Language Models (LLMs), prompt engineering, and AI workflows.
  • Build and integrate AI-powered applications, APIs, and data pipelines.
  • Perform data preparation, model evaluation, testing, and optimization.
  • Collaborate with technical teams to develop scalable and reliable AI solutions.
Required & Preferred Skills
  • Strong foundation in Python, Machine Learning, AI, and Generative AI/LLMs.
  • Knowledge of NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
  • Familiarity with RAG, LangChain, NLP, Vector Databases, or AI Agents is preferred.
  • Exposure to LLM APIs, REST APIs, Git/GitHub, and AWS/Azure/GCP is an advantage.
  • Strong analytical, problem-solving, communication, and collaboration skills.
Eligibility
  • 0–9 years of relevant experience; freshers and recent graduates are welcome.

  •  Canadian Permanent Residents (PR) and valid Canadian Open Work Permit (OWP) holders only. 
  • Employer sponsorship is not available.

  • Location: Fully Remote – Canada.

This is a remote position.