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Computer Science Jobs in Toronto, ON (NOW HIRING)

Mercor

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 ...

Td

Full Stack Data Science Engineer

Toronto, ON · On-site

CA$120K - CA$154K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $120,000 - $154,000 CAD The pay details ... Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ...

Mercor

AI Research Scientist - PhD

Toronto, ON · 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 ...

Mercor

AI Assessment Specialist - PhD

Toronto, ON · On-site +1

CA$66 - CA$84/hr

Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66-$84/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities * Author original computer science questions ...

New

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science. * 4+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science. * 4+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ...

Lyft

Data Science Manager, Rider Experience

Toronto, ON · On-site

Advanced degree (MS or PhD) in a quantitative field such as Statistics, Applied Mathematics, Economics, Computer Science, or a related area * Hands-on technical experience in experimentation, causal ...

CorGTA

Data Scientist - 12 month contract

Toronto, ON · On-site

CA$70/hr

D. or Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field. Core ML & Forecasting Mastery: Deep expertise in traditional machine learning algorithms ...

Ontario 407

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

A University degree in Engineering, Statistics, Mathematics, or Computer Science. * Minimum 3-5 years working experience with data science techniques: clustering, regression models, classification ...

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Showing results 21-40

All JobsComputer Science JobsComputer Science Jobs in Toronto, ON

Computer Science information

See Toronto, ON salary details

$19.1K

$64.5K

$134.6K

How much do computer science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer science in Toronto, ON is $64,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,605.00 and $89,707.00 per year, depending on experience, location, and employer.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a computer science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.
More about Computer Science jobs

What are the most commonly searched types of Computer Science jobs in Toronto, ON?

The most popular types of Computer Science jobs in Toronto, ON are:

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

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

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

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

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

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

Computer Science jobs near you
Infographic showing various Computer Science job openings in Toronto, ON as of August 2026, with employment types broken down into 48% Full Time, and 52% Part Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $64,454 per year, or $31 per hour.

AI Research Scientist - PhD

Mercor

Toronto, ON • Remote

CA$55 - CA$80/hr

Full-time

Re-posted 23 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: STEM PhDs and Technical Domain Experts
Type: Contract
Compensation: $55–$80/hour
Location: Remote

Role Responsibilities

  • Contribute subject matter expertise to a cutting-edge project with state-of-the-art large language models.
  • Create high-quality data by developing difficult problems in your domain.
  • Evaluate and improve AI model performance through rigorous testing and feedback.
  • Collaborate with AI research teams to enhance training data quality.
  • Work independently and asynchronously to meet project deadlines.

Qualifications

Must-Have

  • PhD or advanced degree (or equivalent industry experience) in Medicine, Healthcare, Statistics, Data Science, AI/ML Research, Computer Science, Game Development, or Mechanical/Aerospace Engineering.
  • High attention to detail.
  • Exceptional written and verbal communication skills.

Interview Process

  • Complete a short interview and task (20–30 mins). Paid onboarding time includes this and a few onboarding videos if hired.

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.