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New Graduate Computer Science Jobs in Hamilton, ON

Aversan

Embedded Software Engineer

Mississauga, ON · Hybrid

Support/Lead estimation efforts for new tasks. * Collaborate with other seniors and management on ... Bachelor's or Graduate degree in Software, Computer, or Electrical Engineering or Computer Science ...

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New Graduate Computer Science information

What are the key skills and qualifications needed to thrive as a New Graduate in Computer Science, and why are they important?

To thrive as a New Graduate in Computer Science, you need a solid grasp of programming fundamentals, algorithms, and data structures, usually supported by a bachelor's degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and basic knowledge of software development tools is essential. Problem-solving abilities, eagerness to learn, and effective teamwork are standout soft skills for success in entry-level roles. These skills and qualities are crucial for adapting to real-world technical challenges and contributing effectively to software development projects.

What are some common challenges new graduate computer science hires face during their first year on the job?

New graduate computer science hires often encounter challenges such as adapting to large, complex codebases, understanding company-specific development workflows, and bridging the gap between academic concepts and practical application. It's common to feel overwhelmed by the scale of real-world projects and the fast pace of agile development environments. Building effective communication skills and seeking mentorship from more experienced colleagues can help ease this transition and accelerate professional growth.

What are New Graduate Computer Science jobs?

New Graduate Computer Science jobs are entry-level positions designed for individuals who have recently completed a degree in computer science or a related field. These roles typically include job titles like software engineer, data analyst, IT support specialist, and web developer. Employers seek candidates with a solid foundation in programming, problem-solving skills, and the ability to quickly learn new technologies. These positions provide hands-on experience, mentorship, and opportunities for career growth in the technology sector.

What is the difference between New Graduate Computer Science vs Software Developer?

AspectNew Graduate Computer ScienceSoftware Developer
Required CredentialsDegree in Computer Science or related fieldDegree often preferred; experience may substitute
Work EnvironmentEntry-level, training-focused, team collaborationDevelopment teams, project-based, coding-focused
Employer & Industry UsageTech companies, startups, IT departmentsSoftware firms, tech companies, enterprise IT
Search & Comparison IntentUnderstanding entry-level roles, qualificationsJob responsibilities, skills, career path

In summary, a New Graduate Computer Science role typically refers to an entry-level position requiring a relevant degree and focuses on training and learning. A Software Developer may have similar qualifications but often involves more specific coding responsibilities and project work. Both roles are common in tech industries and serve as starting points for a career in software development.

What job categories do people searching New Graduate Computer Science jobs in Hamilton, ON look for? The top searched job categories for New Graduate Computer Science jobs in Hamilton, ON are:
What cities near Hamilton, ON are hiring for New Graduate Computer Science jobs? Cities near Hamilton, ON with the most New Graduate Computer Science job openings:
New Graduate Computer Science jobs near you

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

Ottawa, ON • Remote

Full-time

Posted 2 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