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Computer Science Intern Remote Jobs in Ontario (NOW HIRING)

Ikonicsolution

Business Development Intern

Ottawa, ON · Remote

Sales Location: (Remote) About Us: IKONIC is a US-based IT company headquartered in Miami, Florida ... A degree in Computer Science or a related field is a plus. * Fresh graduates and candidates with 0 ...

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 ...

ABB

Hoisting/Mining Service - Intern

Sudbury, ON · Remote

You enjoy working with remote tools, network software, and have a strong interest in industrial ... You are currently pursuing a Bachelor's degree in Computer Science, Electrical Engineering, or a ...

Autodesk

Intern, Product Management

Toronto, ON · On-site +1

... computer science,engineering,business, design, or a related discipline. * Strong ... of office, remote and hybrid work preferences. Learn More About Autodesk Welcome to Autodesk!

Perseus Group

Intern Student

Markham, ON · On-site +1

CA$18 - CA$22/hr

The Intern will work closely withaProduct Manager on Data Services to design, build, and test ... Completion of coursework in Business, Data Analytics, Computer Science, or a related field.

DN Capital

Your role DN Capital is looking for an Intern for our investment team in the London/Berlin offices ... In your second year of studies or further (Business, Finance, Computer Science, Engineering)

Protopia

... your own computer, phone, and internet access. You don't live online, but pretty close. Extra ... remote but occasionally can be found at The Frontier & HQ Raleigh coworking spaces.

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Computer Science Intern Remote information

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

To thrive as a Computer Science Intern (Remote), you generally need a solid foundation in programming languages (such as Python, Java, or C++), data structures, and algorithms, supported by progress toward a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and experience with integrated development environments (IDEs) are typically expected. Strong problem-solving abilities, self-motivation, and clear written communication are standout soft skills for remote work. These skills and qualities are crucial for contributing effectively to projects, collaborating with distributed teams, and adapting to the dynamic requirements of remote internships.

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

AspectComputer Science Intern RemoteSoftware Developer Intern Remote
Required CredentialsTypically pursuing a computer science degree or related fieldSimilar; often pursuing a computer science or software engineering degree
Work EnvironmentRemote, often part-time or summer internshipRemote, often part-time or summer internship
Employer & Industry UsageTech companies, startups, research labsTech companies, software firms, startups
Comparison Search IntentUnderstanding internship roles in computer scienceLooking for software development internship opportunities

Both roles are remote internships aimed at students in computer science or related fields. The main difference lies in the job titles; 'Computer Science Intern Remote' is broader, focusing on foundational computer science skills, while 'Software Developer Intern Remote' emphasizes software development tasks. Candidates should review specific job descriptions to understand the focus areas and responsibilities.

What does a Computer Science Intern do in a remote position?

A Computer Science Intern working remotely assists with software development, debugging, testing, and other technical tasks under the guidance of experienced engineers. Responsibilities may include writing code, collaborating on projects using tools like Git, and participating in virtual meetings to discuss project goals. Remote interns often communicate through email, chat, and video calls, allowing them to contribute to real-world projects from any location. The role helps students and recent graduates gain practical industry experience and build their professional network.

How do computer science interns working remotely typically collaborate with their team and receive mentorship?

Remote computer science interns often use collaboration tools such as Slack, Microsoft Teams, or Zoom to communicate with their teammates and supervisors. Regular check-ins, virtual stand-up meetings, and code reviews are common practices to ensure alignment and support. Mentorship is usually provided through scheduled one-on-one video calls and shared project management platforms, which help interns receive feedback and guidance. Clear documentation and open channels for questions also play a key role in helping interns learn and succeed while working remotely.
What are the most commonly searched types of Computer Science Remote jobs in Ontario? The most popular types of Computer Science Remote jobs in Ontario are:
What cities in Ontario are hiring for Computer Science Intern Remote jobs? Cities in Ontario with the most Computer Science Intern Remote job openings:
Computer Science Intern Remote jobs near you

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

Ottawa, ON • Remote

Full-time

Posted 27 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