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Computer Science Remote Internships Jobs in Ontario

Xiopt

Marketing Intern

Toronto, ON · Remote

Founded by experts in finance and computer science, XIOpt prides itself on its practitioner-led approach to meeting clients' needs. Role Description This is a full-time, remote Internship role in ...

Mercor

Trademark Practitioner - Fully Remote

Toronto, ON · Remote

CA$85 - CA$120/hr

IP Expert -- Patent / Trademark (Remote, Hourly) Type: Contract Compensation: $85-$120/hour ... Technical background in engineering, computer science, life sciences, or chemistry preferred for ...

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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 Ontario? For Computer Science Remote Internships jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Remote Internships jobs in Ontario look for? The top searched job categories for Computer Science Remote Internships jobs in Ontario are:
What cities in Ontario are hiring for Computer Science Remote Internships jobs? Cities in Ontario with the most Computer Science Remote Internships job openings:
Computer Science Remote Internships jobs near you
Infographic showing various Computer Science Remote Internships job openings in Ontario as of June 2026, with employment types broken down into 69% Full Time, 27% Part Time, 2% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

Ottawa, ON • Remote

Full-time

Posted 12 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