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Entry Level Computer Science Research Jobs in Toronto, ON

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 ...

Research Scientist

Toronto, ON · On-site

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 ...

Research new technology and tools and share those findings with the team * Communicate clearly and ... Graduated from a Computer Science, Software Engineering, or similar program in a University or ...

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, 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 ...

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 ...

We are in search of passionate Research Scientists with a specialization in Computer Vision to propel our mission forward. If you are eager to deploy your advanced skills to disrupt and redefine the ...

PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field * Strong background in machine learning and deep learning * 2+ years of research experience with ...

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 ...

The Rotman Research Institute at Baycrest has an opportunity for a RESEARCH PROGRAMMER Position ... Bachelor degree in Computer Science. Required skills/experience: * Skilled in Python, HTML, Apache ...

At RBC Borealis, you'll be joining a team of leading researchers and software engineering ... A master's or PhD degree in computer science, mathematics, physics, economics or equivalent; * 2+ ...

Research Internship/Co-op

Toronto, ON · On-site

CA$45 - CA$60/hr

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

As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

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Entry Level Computer Science Research information

How to make $10,000 a month with no degree?

Entry level computer science research roles typically do not pay $10,000 per month without advanced skills or experience. To increase earning potential, developing expertise in high-demand areas like machine learning, cybersecurity, or software engineering, along with certifications and a strong portfolio, can help. Freelance work, consulting, or building scalable projects may also contribute to higher income over time.

What professions make $200,000 a year without a degree?

Entry-level computer science research roles typically do not pay $200,000 annually without advanced degrees or significant experience. High-paying tech jobs such as software engineering, data science, or cybersecurity positions often require specialized skills, certifications, or experience, and reaching a $200,000 salary usually involves several years in the field or working in senior or specialized roles.

What is the difference between Entry Level Computer Science Research vs Entry Level Software Developer?

AspectEntry Level Computer Science ResearchEntry Level Software Developer
Required CredentialsBachelor's degree in CS or related field; research experience beneficialBachelor's degree in CS or related field; coding skills essential
Work EnvironmentResearch labs, academic institutions, R&D departmentsTech companies, startups, software firms
Employer & Industry UsageUniversities, research institutes, tech companiesSoftware development firms, tech industry
Common Search & Comparison IntentUnderstanding research-focused roles in CSEntry-level coding and development roles

Entry Level Computer Science Research roles focus on exploring new algorithms, theories, and innovations within academic or research settings, often requiring research experience. In contrast, Entry Level Software Developer positions emphasize coding, building applications, and deploying software in industry environments. Both roles require a bachelor's degree in CS, but their work environments and daily tasks differ significantly.

What are entry level computer science research positions?

Entry level computer science research positions are roles designed for individuals who have recently graduated with a degree in computer science or a related field and are interested in gaining experience in research. These positions typically involve assisting with research projects, conducting experiments, analyzing data, and writing reports under the guidance of senior researchers or professors. They are often found in academic institutions, research labs, or tech companies and can serve as a stepping stone toward more advanced research or graduate studies. Candidates are usually expected to have a foundational understanding of computer science principles and some experience with programming or data analysis.

Is computer science dead due to AI?

Entry level computer science research roles continue to be in demand as AI advances, requiring skills in programming, algorithms, and data analysis. AI tools can augment research but do not replace the need for foundational computer science knowledge and critical thinking. Staying current with emerging technologies and gaining relevant certifications can enhance job prospects in this evolving field.

How to start research work in computer science?

To start research work in computer science, begin by gaining a strong foundation in programming, algorithms, and data structures through coursework or self-study. Identify your area of interest, read relevant research papers, and seek opportunities such as internships or assistant roles to gain practical experience and mentorship.

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

To excel as an Entry Level Computer Science Researcher, you need a solid background in computer science fundamentals, programming, and data analysis, typically supported by a relevant bachelor's degree. Familiarity with programming languages (such as Python, Java, or C++), research tools (like MATLAB or R), and version control systems (like Git) is often required. Strong problem-solving abilities, critical thinking, and effective written and verbal communication make candidates stand out. These skills enable researchers to contribute to innovative projects, collaborate with peers, and clearly present findings in a rapidly evolving field.

What are typical daily tasks and research activities for someone in an entry level computer science research position?

In an entry level computer science research role, your daily tasks often include reviewing recent literature, coding and running experiments, collecting and analyzing data, and documenting results. You’ll likely collaborate with senior researchers, attend group meetings to discuss progress, and assist with preparing papers or presentations. The work environment is usually team-oriented, with ample opportunities to learn from mentors and contribute to ongoing projects. This hands-on experience helps you build both technical and analytical skills that are essential for advancing in research-focused careers.
What are the most commonly searched types of Computer Science Research jobs in Toronto, ON? The most popular types of Computer Science Research jobs in Toronto, ON are:
What are popular job titles related to Entry Level Computer Science Research jobs in Toronto, ON? For Entry Level Computer Science Research jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Research jobs in Toronto, ON look for? The top searched job categories for Entry Level Computer Science Research jobs in Toronto, ON are:
Infographic showing various Entry Level Computer Science Research job openings in Toronto, ON as of July 2026, with employment types broken down into 56% Full Time, 38% Part Time, and 6% Contract. Highlights an 90% In-person, and 10% Remote job distribution.
AI Research Scientist - PhD

AI Research Scientist - PhD

Mercor

Toronto, ON • Remote

CA$55 - CA$80/hr

Full-time

Re-posted 17 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 involving state-of-the-art large language models.
  • Create high-quality data to inform the future of AI innovation by developing challenging problems in your domain.
  • Evaluate and improve AI model training and outputs to ensure accuracy and depth.
  • Collaborate with AI research teams to enhance training data quality and performance.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • 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 detail.
  • Exceptional written and verbal communication skills.

Interview Process

  • Complete a short interview and task (20–30 mins).
  • Paid onboarding time for up to 1 hour, including videos.

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.