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Computer Science Remote Internships Jobs in Toronto, ON

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical ...

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Computer Science Remote Internships information

What types of projects can I expect to work on during a remote computer science internship, and how will I collaborate with my team?

As a remote computer science intern, you'll typically work on real-world software development projects such as coding new application features, debugging existing code, or contributing to open-source initiatives. Communication and collaboration usually take place through tools like Slack, GitHub, and video conferencing platforms, allowing you to participate in daily stand-ups, code reviews, and team meetings. You may be paired with a mentor or work within a small agile team, gaining exposure to industry-standard development practices and collaborative workflows. While managing your own tasks independently is important, you'll also have regular check-ins and opportunities to ask questions, ensuring you remain connected and supported throughout the internship.

What is the difference between Computer Science Remote Internships vs Software Developer Internships?

AspectComputer Science Remote InternshipsSoftware Developer Internships
Required CredentialsTypically a computer science student or related field, some coding knowledgeSimilar, often requiring programming skills and coursework in software development
Work EnvironmentRemote, flexible, project-basedRemote or hybrid, focused on coding and software projects
Employer & Industry UsageTech companies, startups, research institutionsTech firms, software companies, startups
Search & Comparison IntentLooking for general computer science internship opportunitiesSeeking specific software development internship roles

Computer Science Remote Internships and Software Developer Internships share similar credentials and work environments, often targeting tech companies and startups. However, CS internships tend to be broader, encompassing various computer science topics, while Software Developer Internships focus specifically on coding and software creation. Both are valuable for gaining industry experience remotely.

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

To thrive as a Computer Science Remote Intern, you typically need a solid understanding of programming fundamentals, algorithms, and data structures, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and exposure to languages like Python, Java, or JavaScript are highly valuable. Strong self-motivation, time management, and effective written communication skills help interns excel in remote environments. These abilities enable interns to contribute effectively to distributed teams, manage projects independently, and adapt to rapidly changing technical tasks.

What are computer science remote internships?

Computer science remote internships are work opportunities for students or recent graduates to gain practical experience in computer science while working from a location outside of a traditional office, typically from home. Interns collaborate with teams online, using digital tools to complete tasks such as coding, software development, data analysis, or technical support. These internships provide valuable exposure to real-world projects, industry practices, and professional networking, all without the need to relocate. Remote internships are especially popular in tech fields where much of the work can be done online. They often offer flexibility in schedules and are available with companies around the world.
What are popular job titles related to Computer Science Remote Internships jobs in Toronto, ON? For Computer Science Remote Internships jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Computer Science Remote Internships jobs in Toronto, ON look for? The top searched job categories for Computer Science Remote Internships jobs in Toronto, ON are:
Computer Science Remote Internships jobs near you
Infographic showing various Computer Science Remote Internships job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 5% Hybrid, and 5% Remote job distribution.
Remote Computer Science Expert (PhD)

Remote Computer Science Expert (PhD)

Micro1

Scarborough, ON • Remote

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Computer Science Expert (PhD)
$80 - $90/hourpay
Required Skills
Computer Science
PhD
Python
Data Science
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Computer Science Expert (PhD)


Role Type: Contractor


Location: Remote


micro1 is engaging Computer Science Experts (PhD) to contribute their advanced subject-matter expertise to a customer's AI training initiative. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Produce authoritative, accurate, and well-explained responses to advanced computer science queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.
  2. Review and evaluate computer science data, questions, and solutions to guarantee accuracy, completeness, and current best-practice alignment.
  3. Develop comprehensive explanations and justifications across a wide array of computer science concepts, spanning foundational and specialized areas of the field.
  4. Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
  5. Create exemplary "golden responses" that set benchmarks for future model outputs, ensuring consistency and reliability in training data.
  6. Document context and rationale behind answers to assist model interpretability and future annotation efforts.
  7. Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.


Preferred Qualifications

  1. PhD in Computer Science or a closely related field with robust expertise in both foundational and advanced topics.
  2. Proven ability to communicate intricate computer science concepts with precision in both written and verbal forms.
  3. Experience in developing, reviewing, or publishing scientific, technical, or educational computer science materials (such as research articles, curricula, industry reports, or peer reviews).
  4. Familiarity with multiple sub-disciplines within computer science (algorithms and theory, systems, artificial intelligence and machine learning, databases, computer networks, security, etc.) and the ability to adapt explanations for diverse audiences.
  5. Exceptional attention to detail with a commitment to analytical accuracy and methodological rigor.
  6. Experience with AI, data annotation, or digital content development projects is advantageous but not essential.
  7. Strong collaboration skills, particularly in remote or cross-functional environments.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

Apply