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Computer Science Researcher Jobs in Ontario (NOW HIRING)

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

PhD or advanced degree (or equivalent industry experience) in Medicine , Healthcare , Statistics , Data Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

New

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

As a research scientist, you will invent new AI technologies that enable our launch of fully ... Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

About the Role We are looking for an experienced researcher with a passion for Generative AI and ... D. in Computer Science, Engineering, Neuroscience, Robotics, or a related field. Experience: 5+ ...

Build analytical tools to supplement our shared research framework. Requirements * BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative ...

Bachelor's or Master's degree in Computer Science, Economics, Finance, or another quantitative ... Comfortable working in a fast-paced research environment with evolving priorities and iterative ...

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

The Emerging Risks R&D team is building MSCI's next-generation capability for measuring and ... Bachelor's or Master's degree in Computer Science, Economics, Finance, or another quantitative ...

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... research ideas and turning them into practical solutions for real-world applications. - Solid ...

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 ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

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Showing results 1-20

Computer Science Researcher information

See Ontario salary details

$21K

$75.3K

$147.5K

How much do computer science researcher jobs pay per year?

As of May 29, 2026, the average yearly pay for computer science researcher in Ontario is $75,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Science Researcher, and why are they important?

To thrive as a Computer Science Researcher, you need a strong background in algorithms, mathematics, and theoretical computer science, commonly supported by an advanced degree (Master's or Ph.D.) in computer science or a related field. Proficiency in programming languages (such as Python, C++, or Java), research methodologies, and experience with tools like MATLAB, TensorFlow, or research databases is essential. Critical thinking, curiosity, effective communication, and collaboration are crucial soft skills for generating innovative ideas and sharing findings. These skills and qualities are important for advancing the field, producing original research, and successfully working in multidisciplinary teams.

What are common challenges faced by Computer Science Researchers when working on collaborative projects?

Computer Science Researchers often collaborate with interdisciplinary teams, which can present challenges such as aligning goals, integrating diverse technical expertise, and managing communication across different fields. Additionally, coordinating schedules and research timelines between multiple contributors can be complex, especially when team members are based in different institutions or countries. Overcoming these challenges requires strong project management skills, clear communication, and adaptability to different working styles.

What does a Computer Science Researcher do?

A Computer Science Researcher investigates new ideas, algorithms, and technologies in the field of computer science. Their work often involves designing experiments, developing prototypes, and publishing findings in academic journals or conferences. They may focus on areas like artificial intelligence, cybersecurity, data science, or software engineering. Through their research, they contribute to advancements that can impact both industry and academia. Their role typically requires strong analytical skills, programming expertise, and a deep understanding of theoretical concepts.

Is a CS degree worth IT in 2026?

A computer science researcher typically benefits from a CS degree, as it provides foundational knowledge in algorithms, programming, and systems. While practical experience and skills in areas like machine learning or data analysis are increasingly valued, a degree remains a strong credential for research roles and advancing in the field.
What are popular job titles related to Computer Science Researcher jobs in Ontario? For Computer Science Researcher jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Researcher jobs in Ontario look for? The top searched job categories for Computer Science Researcher jobs in Ontario are:
Infographic showing various Computer Science Researcher job openings in Ontario as of May 2026, with employment types broken down into 4% As Needed, 21% Full Time, 65% Part Time, and 10% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $75,333 per year, or $36.2 per hour.

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

Ottawa, ON • Remote

Full-time

Posted 2 days ago


Job description

Company Description

An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.

The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.

    Job Description

    This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.

    What You'll Do:

    • Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
    • Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
    • Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
    • Provide expert-level feedback to improve AI model performance and domain understanding
    • Support AI training initiatives by applying research, analytical thinking, and technical expertise

    This role is a strong fit for professionals with backgrounds in:

    • Computer Science
    • Software Engineering
    • Machine Learning
    • Cybersecurity
    • Distributed Systems
    • Computational Science
    • Information Theory
    • Quantitative Finance (highly preferred)
    • Statistics
    • Electrical & Computer Engineering
    • Technical Research or Academia
    Qualifications

    Requirements:

    • Native or fluent English communication skills (written and verbal)
    • PhD in Computer Science or a closely related technical field
    • Experience working as a software engineer, researcher, or in another highly technical or analytical role
    • Strong technical reasoning and attention to detail
    • Ability to assess complex AI-generated technical outputs with accuracy and consistency

    Nice to Haves:

    • Strong academic or industry research background
    • Experience reviewing technical content, publications, or research outputs
    • Familiarity with AI systems, large language models, or AI evaluation workflows
    • Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity

    Additional Information
    • Fully remote freelance opportunity with flexible working hours
    • Work is expected to begin immediately and continue through the end of June, with potential extensions
    • Compensation: Up to $150 USD per hour based on project participation
    • Weekly lump-sum payments issued for completed work tracked within the client platform
    • No guaranteed hours or task volume; work availability may vary weekly
    • Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
    • Selected candidates will receive onboarding instructions and platform access after acceptance
    • Candidates should not independently create an Outlier profile prior to onboarding