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Computer Science Entry Level Remote 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 ...

ABB

Hoisting/Mining Service - Intern

Sudbury, ON · Remote

... entry level field service tasks, identifying technical issues, and performs analysis through remote ... You are currently pursuing a Bachelor's degree in Computer Science, Electrical Engineering, or a ...

Uber

Graduate 2026 Software Engineer I, TOR

Toronto, ON · On-site +1

Basic qualifications**- Bachelor's or Master's degree in Computer Science, Engineering, or a ... Unless approved for full remote work, employees must spend at least Tuesday, Wednesday, Thursday in ...

StackandCo

Dublin\/ Galway - Remote\/WFH \n * Long Term Contract \n * Negotiable Day Rate \n Leading Fintech ... Degree in Computer Science, Engineering, Information Technology or equivalent. \n * Minimum 6 years ...

Morson Talent

25-183 - Kubernetes Engineer

Oshawa, ON · On-site +1

$60 - $85/hr

CHQ (Hybrid - 3 Days Remote) Job Overview Design and implement cloud-native infrastructure using ... Qualifications Bachelor's degree in computer science, Engineering, or related field. Proven ...

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 ...

Perseus Group

Director, Support

Waterloo, ON · On-site +1

CA$85K - CA$104K/yr

Diploma or degree in Computer Science, Information Technology, Software Engineering, or a related ... Work Experience (Entry-Level Friendly) * 0-2 years of professional experience supporting databases ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Graduate degree in Computer Science with a strong background in machine learning required. * Strong ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision ...

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Computer Science Entry Level Remote information

What are the key skills and qualifications needed to thrive in the Computer Science Entry Level Remote position, and why are they important?

To thrive as a Computer Science Entry Level Remote professional, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and a relevant bachelor's degree or equivalent coursework. Familiarity with version control systems (like Git), collaborative coding platforms, and project management tools is typically required. Strong organizational skills, proactive communication, and the ability to work independently are crucial soft skills for remote work. These abilities ensure you can deliver quality technical solutions, collaborate effectively with distributed teams, and adapt to the unique demands of a remote environment.

What is a Computer Science Entry Level Remote job?

A Computer Science Entry Level Remote job is a position for recent graduates or individuals with minimal experience in computer science, allowing them to work from home or another remote location. These roles often involve software development, data analysis, IT support, or QA testing. Employers typically seek candidates with programming knowledge, problem-solving skills, and familiarity with technologies like Python, Java, or SQL. Remote work requires strong communication and self-discipline to collaborate effectively with teams.

What are some typical challenges faced by entry-level computer science professionals working remotely?

Entry-level computer science professionals working remotely often face challenges such as managing time effectively without direct supervision, staying motivated, and overcoming feelings of isolation. Communication can also be more complex, as remote teams rely heavily on written channels and scheduled meetings to collaborate. However, most companies provide onboarding support, mentoring programs, and regular check-ins to help new hires integrate smoothly. Developing strong self-discipline and proactively reaching out to coworkers can significantly ease the transition and contribute to long-term success in a remote role.

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 are popular job titles related to Computer Science Entry Level Remote jobs in Ontario? For Computer Science Entry Level Remote jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Entry Level Remote jobs in Ontario look for? The top searched job categories for Computer Science Entry Level Remote jobs in Ontario are:
What cities in Ontario are hiring for Computer Science Entry Level Remote jobs? Cities in Ontario with the most Computer Science Entry Level Remote job openings:
Computer Science Entry Level 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