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Computer Science Engineer Jobs in Quebec (NOW HIRING)

... engineering, and more. micro1 transforms that real-world expertise into high-quality training data ... Computer Science Expert (PhD) Role Type: Contractor Location: Remote micro1 is engaging Computer ...

... engineering, and more. micro1 transforms that real-world expertise into high-quality training data ... Computer Science Expert (PhD) Role Type: Contractor Location: Remote micro1 is engaging Computer ...

... engineering, and more. micro1 transforms that real-world expertise into high-quality training data ... Computer Science Expert (PhD) Role Type: Contractor Location: Remote micro1 is engaging Computer ...

... engineering, and more. micro1 transforms that real-world expertise into high-quality training data ... Computer Science Expert (PhD) Role Type: Contractor Location: Remote micro1 is engaging Computer ...

... engineering, and more. micro1 transforms that real-world expertise into high-quality training data ... Computer Science Expert (PhD) Role Type: Contractor Location: Remote micro1 is engaging Computer ...

... engineering, and more. micro1 transforms that real-world expertise into high-quality training data ... Computer Science Expert (PhD) Role Type: Contractor Location: Remote micro1 is engaging Computer ...

... engineering, and more. micro1 transforms that real-world expertise into high-quality training data ... Computer Science Expert (PhD) Role Type: Contractor Location: Remote micro1 is engaging Computer ...

Sr. Full Stack Data Science Engineer

Montreal, QC ยท On-site

CA$154K - CA$199K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $154,000 - $199,500 CAD The pay details ... Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ...

Senior Deep Learning Engineer

Montreal, QC ยท 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 ...

Senior Deep Learning Engineer

Quebec, QC ยท 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 ...

Senior Deep Learning Engineer

Quebec, QC ยท 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 ...

Senior Deep Learning Engineer

Montreal, QC ยท 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 ...

Senior Software Engineer

Quebec, QC ยท On-site

CA$115K - CA$125K/yr

Requirements: - Bachelor's degree or Diploma in Computer Science, Engineering, related field, or equivalent work experience. - 8+ years of experience in software development, and 3+ years as a ...

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Computer Science Engineer information

See Quebec salary details

$22K

$81.7K

$165K

How much do computer science engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for computer science engineer in Quebec is $81,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Computer Science Engineer might work on within a multidisciplinary team?

Computer Science Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and data analysts. Typical projects may include developing scalable software applications, optimizing algorithms for performance, or integrating new technologies into existing systems. These engineers are frequently involved in code reviews, planning meetings, and cross-functional brainstorming sessions to ensure solutions meet both technical and business requirements. This collaborative environment not only enhances technical skills but also fosters communication and project management abilities.

What are Computer Science Engineers?

Computer Science Engineers are professionals who apply principles of computer science, engineering, and mathematics to design, develop, test, and maintain computer systems, software, and networks. They work on a wide range of technologies, from creating applications and operating systems to improving network security and optimizing hardware performance. Their role often involves problem-solving, programming, and collaborating with other engineers and IT specialists to deliver efficient technology solutions.

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

To thrive as a Computer Science Engineer, you need a solid background in programming, algorithms, data structures, and computer systems, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience using development tools, version control systems (such as Git), and relevant certifications like AWS or Cisco, are highly valued. Strong problem-solving abilities, teamwork, and effective communication help set exceptional engineers apart. These skills are vital for designing, developing, and maintaining reliable software solutions in ever-evolving technical environments.
What are popular job titles related to Computer Science Engineer jobs in Quebec? For Computer Science Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Computer Science Engineer jobs in Quebec look for? The top searched job categories for Computer Science Engineer jobs in Quebec are:
Infographic showing various Computer Science Engineer job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $81,723 per year, or $39.3 per hour.
Remote Computer Science Expert (PhD)

Remote Computer Science Expert (PhD)

Micro1

Alma, QC โ€ข Remote

Full-time

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Computer Science Expert (PhD)
$80 - $90/hourpay
Required Skills
Computer Science
PhD
Python
Data Science
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Computer Science Expert (PhD)


Role Type: Contractor


Location: Remote


micro1 is engaging Computer Science Experts (PhD) to contribute their advanced subject-matter expertise to a customer's AI training initiative. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Produce authoritative, accurate, and well-explained responses to advanced computer science queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.
  2. Review and evaluate computer science data, questions, and solutions to guarantee accuracy, completeness, and current best-practice alignment.
  3. Develop comprehensive explanations and justifications across a wide array of computer science concepts, spanning foundational and specialized areas of the field.
  4. Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
  5. Create exemplary "golden responses" that set benchmarks for future model outputs, ensuring consistency and reliability in training data.
  6. Document context and rationale behind answers to assist model interpretability and future annotation efforts.
  7. Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.


Preferred Qualifications

  1. PhD in Computer Science or a closely related field with robust expertise in both foundational and advanced topics.
  2. Proven ability to communicate intricate computer science concepts with precision in both written and verbal forms.
  3. Experience in developing, reviewing, or publishing scientific, technical, or educational computer science materials (such as research articles, curricula, industry reports, or peer reviews).
  4. Familiarity with multiple sub-disciplines within computer science (algorithms and theory, systems, artificial intelligence and machine learning, databases, computer networks, security, etc.) and the ability to adapt explanations for diverse audiences.
  5. Exceptional attention to detail with a commitment to analytical accuracy and methodological rigor.
  6. Experience with AI, data annotation, or digital content development projects is advantageous but not essential.
  7. Strong collaboration skills, particularly in remote or cross-functional environments.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expertโ€™s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24โ€“48 hours of completing onboarding.