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Phd Computer Science Jobs in Ontario (NOW HIRING)

Targeted Talent

Data Scientist

Ottawa, ON

$80K - $100K/yr

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

Targeted Talent

Data Scientist

Kitchener, ON

$80K - $100K/yr

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

Targeted Talent

Data Scientist

Ottawa, ON

$80K - $100K/yr

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

Targeted Talent

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON · On-site

CA$60/hr

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

Point72

Data Scientist

London, ON

Requirements * BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or a comparable language) and ...

Vectra

MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience) * Hands-on experience with machine-learning and statistical ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production

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Phd Computer Science information

See Ontario salary details

$20.5K

$73.4K

$152.5K

How much do phd computer science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for phd computer science in Ontario is $73,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $100,000.00 per year, depending on experience, location, and employer.

Is a CS PhD worth it?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles that require advanced technical expertise. It typically involves several years of study, research, and publication, and is valuable for positions that demand deep knowledge or innovation in areas like artificial intelligence, algorithms, or data science.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

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

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What is the salary of a PhD in computer science?

A PhD in computer science typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Academic positions, research roles, and industry jobs such as software engineering or data science may have different salary ranges, with industry roles generally offering higher compensation.

Can I make 200K with a computer science degree?

A PhD in Computer Science can lead to high-paying roles such as research scientists, data scientists, or senior software engineers, where salaries of $200,000 or more are achievable, especially in tech hubs or with extensive experience. However, reaching this level typically requires advanced skills, experience, and sometimes additional certifications or leadership responsibilities.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, and university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What are popular job titles related to Phd Computer Science jobs in Ontario? For Phd Computer Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Ontario look for? The top searched job categories for Phd Computer Science jobs in Ontario are:
What cities in Ontario are hiring for Phd Computer Science jobs? Cities in Ontario with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Ontario as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 29% Full Time, 64% Part Time, and 4% Temporary. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $73,404 per year, or $35.3 per hour.

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

Ottawa, ON • Remote

Full-time

Posted 15 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