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Phd Computer Science Jobs in Toronto, ON (NOW HIRING)

AI Research Scientist - PhD

Toronto, ON ยท Remote

CA$70 - CA$90/hr

Computer Science PhD Researchers Type: Contract Compensation: $70-$90/hour Location: Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with large language ...

ML Research Scientist - PhD

Toronto, ON ยท Remote

CA$110 - CA$145/hr

PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least one main conference paper at ICML, NeurIPS, or ICLR . * Strong preference for candidates with 2+ ...

ML Research Scientist - PhD

Toronto, ON ยท Remote

CA$60 - CA$100/hr

PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least one main conference paper at ICML, NeurIPS, or ICLR . * Strong preference for candidates with 2+ ...

AI Research Scientist - PhD

Toronto, ON ยท 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 ...

AI Research Scientist - PhD

Toronto, ON ยท Remote

CA$55 - CA$80/hr

PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical / Aerospace Engineering . * High attention to ...

AI Assessment Specialist - PhD

Toronto, ON ยท On-site +1

CA$66 - CA$84/hr

Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66-$84/hour Location ... PhD or doctoral candidate in Computer Science , Electrical Engineering , or a closely related field.

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 ...

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field Experience: * 6+ years post-Master's experience or 4+ ...

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

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Showing results 1-20

Phd Computer Science information

See Toronto, ON salary details

$19.6K

$70.1K

$145.5K

How much do phd computer science jobs pay per year?

As of Aug 28, 2026, the average yearly pay for phd computer science in Toronto, ON is $70,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,513.00 and $95,434.00 per year, depending on experience, location, and employer.

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?

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 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.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

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, or 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 Toronto, ON?

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

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

The top searched job categories for Phd Computer Science jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Phd Computer Science jobs?

Cities near Toronto, ON with the most Phd Computer Science job openings:

Infographic showing various Phd Computer Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $70,052 per year, or $33.7 per hour.

AI Research Scientist - PhD

Toronto, ON โ€ข Remote

CA$70 - CA$90/hr

Full-time

Re-posted 3 days ago


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: Computer Science PhD Researchers
Type: Contract
Compensation: $70–$90/hour
Location: Remote

Role Responsibilities

  • Contribute subject matter expertise to a cutting-edge project with large language models.
  • Create high-quality data by developing difficult problems in your domain.
  • Evaluate and improve AI model performance through rigorous tasks.
  • Collaborate with AI research teams to inform future AI innovation.
  • Work independently and asynchronously to meet deadlines and contribute 4-6 tasks per week.

Qualifications

Must-Have

  • Computer Science PhD (Graduated)
  • Undergraduate degree from US/UK/Canada/Western Europe
  • Graduate degree from a top US/UK/Canada/Western European university
  • High attention to detail
  • Exceptional written and verbal communication skills
  • Excellent proficiency in English

Start Date

  • February; applications reviewed on a rolling basis.

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.