1

Internship Ai Coding Jobs in Ontario (NOW HIRING)

Use AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) to rapidly prototype, debug ... Ideal for candidates with 0-3 years of experience, including internships or equivalent hands-on ...

Use AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) to rapidly prototype, debug ... Ideal for candidates with 0-3 years of experience, including internships or equivalent hands-on ...

Hands-on hardware verification experience (at-least one tapeout, internship or co-op) * Proficient ... Exposure to using AI coding assistants (e.g., Copilot, Claude, ChatGPT) to help write or debug ...

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class ... coding competitions, and/or research projects and papers. - Strong quantitative background and ...

Associate AI Engineer

Toronto, ON ยท Hybrid

CA$60K - CA$80K/yr

Participate in code reviews and collaborate with senior engineers to improve code quality and ... Internship, co-op, academic project, or personal project experience in software engineering, AI/ML ...

We are a trailblazing Language Synthesis AI firm reshaping global communication by dissolving ... Write clean, efficient, and maintainable code using high-level programming languages such as Python ...

Instead, Vosyn being an AI start-up, the upside is in potential future value of said shares based ... Participate in code reviews, collaborate using Notion, and contribute to discussions on development ...

Design and implement automation solutions using Infrastructure as Code (IaC). * Develop tools, APIs ... internships. * Experience with containers and orchestration technologies such as Docker and ...

AI Engineer

Unionville, ON ยท On-site +1

CA$94K - CA$136K/yr

Develop and maintain production-ready code following AI engineering best practices, including ... Mentor and coach junior AI engineers, software engineers, data scientists, and interns while ...

New

next page

Showing results 1-20

Internship Ai Coding information

What is an AI coding internship?

An AI coding internship is a temporary position where students or recent graduates work with artificial intelligence technologies, focusing on programming and software development tasks. Interns typically assist in designing, coding, and testing AI models or applications under the guidance of experienced professionals. These internships provide hands-on experience with machine learning, data analysis, and software engineering, often using languages like Python or frameworks such as TensorFlow and PyTorch. The goal is to help interns gain practical skills and industry knowledge that can support a future career in AI or related fields.

What types of projects can I expect to work on during an AI coding internship?

As an AI Coding intern, you can typically expect to contribute to projects such as developing machine learning models, automating data processing tasks, and supporting the integration of AI features into existing applications. Interns often collaborate with data scientists and software engineers, gaining hands-on experience with real datasets and industry-standard tools. Daily responsibilities might include coding, testing algorithms, participating in code reviews, and presenting project updates to the team. This role offers a valuable opportunity to build technical skills while working in a collaborative, mentorship-driven environment.

What are the key skills and qualifications needed to thrive as an AI coding intern, and why are they important?

To thrive as an AI Coding Intern, you need a solid understanding of programming languages like Python, foundational knowledge in algorithms, data structures, and basic machine learning concepts, often supported by coursework or personal projects. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is typically expected. Strong problem-solving skills, eagerness to learn, and effective communication make an intern stand out. These skills and qualities are crucial for successfully contributing to AI projects, learning from mentors, and adapting to the fast-paced field of artificial intelligence.

What is the difference between Internship Ai Coding vs Data Analyst Intern?

AspectInternship Ai CodingData Analyst Intern
Required SkillsProgramming, AI/ML concepts, Python, TensorFlowData analysis, Excel, SQL, statistical skills
Work EnvironmentTech companies, AI startups, R&D teamsBusiness, finance, marketing departments
Industry UsageArtificial Intelligence, Machine Learning, Software DevelopmentBusiness Intelligence, Data Management, Reporting

Internship Ai Coding focuses on developing AI models and programming skills in a tech environment, often involving machine learning projects. Data Analyst Internships emphasize analyzing data sets, creating reports, and supporting business decisions. Both roles require technical skills but differ in their focus and industry applications.

What are popular job titles related to Internship Ai Coding jobs in Ontario?

For Internship Ai Coding jobs in Ontario, the most frequently searched job titles are:

What cities in Ontario are hiring for Internship Ai Coding jobs?

Cities in Ontario with the most Internship Ai Coding job openings:

Infographic showing various Internship Ai Coding job openings in Ontario as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Application Builder (Vibecoding) - Master-Level Internship

Etobicoke, ON โ€ข On-site, Remote

$32/hr

Contractor

Re-posted 14 days ago


Job description

About Us:

At Vosyn, we embrace the exciting, game-changing world of Artificial Intelligence, driving innovation and pioneering impactful projects across various industries. We are a trailblazing Language Synthesis AI firm reshaping global communication by dissolving language barriers and empowering users. We believe in fostering a culture of flexibility, continuous improvement, and solution-focused strategies. Here, every idea is welcomed, nurtured, and has the potential to scale to new heights. Currently, we're at the forefront of a significant IPO endeavor, truly a unicorn in the making. We invite you to be part of our journey and leave your imprint on the future of AI.

About the Role:

We are seeking a resourceful, fast-moving AI Application Builder Intern to join our team. This role is ideal for a Master's level student who builds software primarily by directing AI coding tools rather than writing every line by hand a practice often called "vibecoding." You will turn briefs, rough requirements, and client roadmaps into working web applications, internal tools, and prototypes at speed, then wire them up to the AI and data layers your teammates build. The ideal candidate knows how to scope a build, prompt iteratively, review and debug AI-generated code, and ship something that actually works and, just as importantly, knows where vibecoding stops and careful engineering has to take over.

Tools & Tech Stack:

AI-native IDEs / editors: Cursor, GitHub Copilot, Windsurf, or Cline

Prompt-to-app builders: Lovable, Bolt.new, v0 (Vercel), or Replit Agent

Front-end frameworks: React.js / Next.js (the typical output of these tools)

Backend-as-a-service: Supabase or Firebase

Version control: Git / GitHub

Collaboration & documentation: Notion

Key Responsibilities:

Build responsive web applications, internal tools, and landing pages primarily through AI coding tools such as Cursor, Lovable, Bolt, or v0.

Translate written briefs, feature requests, and client roadmaps into working, deployable software.

Prompt iteratively and refine AI-generated output to meet functional and design requirements.

Review, test, and debug AI-generated code to ensure it is correct, secure, and maintainable - not just "it ran once."

Integrate front-end builds with the back-ends, agents, and retrieval services built by the Applied AI and Integration engineers so data and AI features flow end to end.

Recognize where vibecoding is the right tool and where a problem needs hand-written code or a teammate's help, and escalate accordingly.

Deploy applications, gather feedback, and iterate quickly.
Document your work in Notion so others can pick it up.

About You:
Currently enrolled or recently graduated from a Master's program in Computer Science, Software Engineering, Information Systems, or a related field. Master's program enrollment or completion is mandatory.
Demonstrable, hands-on experience building applications with at least one major AI coding tool (Cursor, Lovable, Bolt, v0, Replit Agent, GitHub Copilot, or similar) - ideally shown through a portfolio, GitHub, or live demo links.
Strong prompting skills: the ability to break a build into clear steps and guide an AI tool to a working result.
Enough foundational coding literacy (JavaScript / React, HTML, CSS) to read, evaluate, and fix what the AI generates.
Comfort with Git and basic deployment workflows.
A bias toward shipping: you would rather build a working prototype than write a long document about it.
Excellent verbal and written communication skills within a cross-functional team environment.

New graduates are encouraged to apply

We believe exceptional talent often emerges from diverse paths. If you possess a profound curiosity, a genuine passion for continuous personal and professional growth, and a strong desire to apply your unique abilities to create significant impact within our team, we strongly encourage you to apply-even if your background doesn't align perfectly with every single qualification.

Employment Type: CONTRACTOR