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Entry Level Ai Computer Science Jobs in Toronto, ON

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Join our Canadian AI team as a Data Scientist, where you'll apply advanced analytics, machine ... Required Qualifications: * Advanced degree in Statistics, Mathematics, Computer Science ...

New

Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative ... Advanced AI / GenAI: Knowledge or hands-on experience with Deep Learning architectures and ...

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

Bachelor's degree in Computer Science, Software Engineering, Data Science, AI, or a related field * Internship, co-op, academic project, or personal project experience in software engineering, AI/ML ...

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 ... Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence ...

Associate Data Scientist - GenAI

Toronto, ON · Hybrid

CA$69K - CA$115K/yr

D. in Computer Science, Data Science, Statistics, or a related field. * Proven experience as a Data Scientist including internships or coops, with a strong focus on machine learning, generative AI ...

New

Generative AI EngineerAbout Apertera Apertera is leading the evolution of language solutions for ... Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Showing results 21-40

Entry Level Ai Computer Science information

What is an entry level AI computer science job?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What do entry level AI computer science professionals do?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.

What are the key skills and qualifications needed to thrive as an entry level AI computer scientist?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Entry Level Ai Computer Science jobs in Toronto, ON?

For Entry Level Ai Computer Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Computer Science jobs in Toronto, ON look for?

The top searched job categories for Entry Level Ai Computer Science jobs in Toronto, ON are:

Infographic showing various Entry Level Ai Computer Science job openings in Toronto, ON as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution.

CS Benchmark Expert - Fully Remote | Upto $84/hr

Mercor

Toronto, ON • Remote

CA$84/hr

Full-time

Posted 3 days ago

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Applied Computer Science Benchmark Specialist
Type: Contract
Compensation: $66–$84/hour
Location: Remote
Commitment: 10+ hours/week

Role Responsibilities

  • Author original computer science questions that test deep conceptual understanding.
  • Ensure questions are unambiguous, self-contained, and precisely defined.
  • Rate each question's difficulty as Medium, Hard, or Expert.
  • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives.
  • Write step-by-step Chain-of-Thought solutions in markdown format.
  • Supply 1–5 academic references per question from reputable sources.
  • For verification tasks: flag issues with clarity, completeness, precision, or solvability.

Qualifications

Must-Have

  • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field.
  • Master's degree considered for candidates with exceptional depth in a specific subdomain.
  • Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning.
  • Excellent written English and ability to express complex ideas clearly and concisely.

Preferred

  • Research publications, industry experience at top tech companies, or competitive programming background.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.