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Bs In Computer Science Jobs in Ontario (NOW HIRING)

Prep Academy Tutors

Computer Science Tutor

London, ON · On-site

... in the process of becoming one). * You're a current teacher candidate pursuing a Bachelor of Education. * You have experience as a lecturer or course instructor at an accredited U.S. or Canadian ...

Sanofi EU

Data Scientist

Toronto, ON

Bachelor's in computer science, AI/ML, mathematics, physics, Computational Linguistic or a related field. Masters preferred. * 3+ years of professional experience as a Data Scientist applying AI/ML ...

Nokia

Data Science Co-op/Intern

Kanata, ON · Hybrid

Currently a candidate for a bachelor's degree or diploma in Computer Science, Electrical Engineering, or a related field with an accredited school in Canada. * Interest in software development ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Nokia

Software Designer Co-op/Intern

Kanata, ON · Hybrid

Hybrid in Ottawa EDUCATIONAL RECOMMENDATIONS Currently a 2nd year+ candidate for a Master's or Bachelor's degree in Engineering/Computer Science with an accredited school in Canada. * A strong ...

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Bs In Computer Science information

What are the key skills and qualifications needed to thrive with a BS in Computer Science, and why are they important?

To thrive with a BS in Computer Science, you need a solid understanding of programming languages, algorithms, data structures, and software development principles, typically backed by a bachelor's degree in the field. Familiarity with tools such as version control systems (e.g., Git), integrated development environments (IDEs), and common frameworks or platforms is often required. Strong problem-solving abilities, teamwork, and effective communication make candidates stand out in technical environments. These skills are crucial for building reliable software solutions, collaborating efficiently, and adapting to the rapidly evolving tech landscape.

What types of entry-level roles are commonly available to candidates with a BS in Computer Science, and how do these roles typically support career growth?

Graduates with a BS in Computer Science often find entry-level opportunities such as software developer, quality assurance analyst, IT support specialist, or data analyst. These roles typically involve working within a collaborative team, gaining hands-on experience with real-world projects, and learning from senior engineers or mentors. As you build technical skills and demonstrate reliability, there are clear pathways to advance into specialized areas like software engineering, cybersecurity, or project management. Proactively seeking mentorship and participating in cross-functional projects can accelerate professional growth within the tech industry.

What is the difference between Bs In Computer Science vs Software Developer?

AspectBs In Computer ScienceSoftware Developer
Required CredentialsBachelor's degree in Computer Science or related fieldOften requires a bachelor's degree in Computer Science, Software Engineering, or related field
Work EnvironmentAcademic, research, or industry settings involving programming, algorithms, and systemsPrimarily in software development teams, coding, testing, and deploying applications
Industry UsageUsed as a foundational degree for various tech roles, including software developmentCommonly employed in tech companies, startups, and IT departments

While a Bs In Computer Science provides a broad theoretical and practical foundation in computing, a Software Developer focuses specifically on designing, coding, and maintaining software applications. Both roles often overlap in skills and work environments, but the degree offers more versatility across tech careers.

What can you do with a BS in Computer Science?

A Bachelor of Science (BS) in Computer Science prepares graduates for a wide range of careers in technology and related fields. Common job roles include software developer, systems analyst, data scientist, cybersecurity analyst, and IT consultant. Graduates can work in industries such as finance, healthcare, education, and entertainment, or pursue advanced degrees in computer science or related disciplines. The degree equips students with skills in programming, problem-solving, and system design, which are highly sought after in today’s digital world.
What are popular job titles related to Bs In Computer Science jobs in Ontario? For Bs In Computer Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Bs In Computer Science jobs in Ontario look for? The top searched job categories for Bs In Computer Science jobs in Ontario are:
What cities in Ontario are hiring for Bs In Computer Science jobs? Cities in Ontario with the most Bs In Computer Science job openings:
Bs In Computer Science jobs near you
Infographic showing various Bs In Computer Science job openings in Ontario as of May 2026, with employment types broken down into 24% As Needed, 24% Full Time, 37% Part Time, 11% Temporary, 2% Nights, and 2% Summer. Highlights an 94% Physical, 1% Hybrid, and 5% 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