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Computer Science Education Jobs in Markham, ON (NOW HIRING)

Td

Sr. Full Stack Data Science Engineer

Toronto, ON · On-site

CA$154K - CA$199K/yr

Education & Experience * A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer ...

Pala Interactive

Senior Web Developer

Toronto, ON · On-site

Formal Computer Science education * Innovative, creative, visionary * Independent and self-motivated * Enjoys and works well in teams, but also thrives in autonomy * Exhibits the important balance of ...

Pala Interactive

Senior Web Developer

Toronto, ON

Formal Computer Science education * Innovative, creative, visionary * Independent and self-motivated * Enjoys and works well in teams, but also thrives in autonomy * Exhibits the important balance of ...

Td

Full Stack Data Science Engineer

Toronto, ON

CA$120K - CA$154K/yr

Education & Experience * A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer ...

New

Braze

Forward-Deployed Data Scientist

Toronto, ON

CA$125K - CA$188K/yr

Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master's or PhD in a relevant technical discipline preferred * Experience: 3-5+ ...

Bmo

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

... science and finance. Base Salary: $90,000-$120,000 CAD (subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements) Salary

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All JobsComputer Science Education JobsComputer Science Education Jobs in Markham, ON

Computer Science Education information

What is computer science education?

Computer science education refers to the teaching and learning of the principles, concepts, and applications of computer science. It includes topics such as programming, algorithms, data structures, computer systems, and computational thinking. Computer science education can take place at various levels, from elementary school to higher education and professional development. Its goal is to equip students with the skills needed to understand and create technology, solve complex problems, and participate in a digital society.

What is the work of computer science education?

Computer science education involves teaching students programming, algorithms, data structures, and computational thinking skills. Educators develop curricula, deliver lessons, and assess student understanding to prepare learners for careers in technology and related fields.

What is the difference between Computer Science Education vs Computer Science Teacher?

AspectComputer Science EducationComputer Science Teacher
Required CredentialsTypically requires a degree in computer science or education, often with certification in teachingRequires a degree in computer science or related field, plus teaching certification
Work EnvironmentEducational institutions, online platforms, training programsSchools, colleges, educational institutions
Employer & Industry UsageEducational organizations, edtech companies, training providersPrimary schools, high schools, colleges
Common Search & ComparisonFocuses on curriculum development, programming skills, and educational methodsFocuses on classroom teaching, lesson planning, and student assessment

Computer Science Education generally refers to designing and delivering computer science curricula, often involving curriculum development and educational strategies. In contrast, a Computer Science Teacher primarily focuses on instructing students in computer science concepts within a classroom setting. Both roles require similar credentials but differ in their scope and work environment.

What jobs will a computer science degree get you?

A computer science degree can lead to roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.

Is computer science teaching in demand?

Computer science teaching is in high demand due to the growing need for technology skills across industries. Educators with expertise in programming, algorithms, and software development are sought after in schools, colleges, and online platforms to meet the increasing interest in computer science education.

What are some common challenges faced by computer science educators in keeping course content current?

Computer science educators often face the challenge of rapidly evolving technology, which makes it necessary to regularly update course materials to reflect new programming languages, frameworks, and industry practices. Balancing foundational concepts with emerging trends can be difficult, especially given limited classroom time. Additionally, educators must ensure that updates remain accessible to students with varying levels of experience, while also integrating practical, real-world projects to keep students engaged.

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

To thrive in Computer Science Education, you need a solid background in computer science concepts, curriculum development, and typically a degree in computer science or education. Familiarity with programming languages, learning management systems (LMS), and educational technology tools is often required. Strong communication, patience, and the ability to inspire and engage students are critical soft skills. These skills and qualities ensure effective teaching, foster student understanding, and help bridge the gap between complex technical concepts and learners.

Can I become a teacher with a computer science degree?

Computer science degrees can qualify individuals to become computer science teachers at the high school or middle school level, often requiring state certification or licensure. Additional coursework in education, teaching credentials, or certification exams are typically necessary to teach in K-12 schools, while a computer science degree alone may suffice for teaching at some colleges or universities depending on institutional requirements.
What job categories do people searching Computer Science Education jobs in Markham, ON look for? The top searched job categories for Computer Science Education jobs in Markham, ON are:
What cities near Markham, ON are hiring for Computer Science Education jobs? Cities near Markham, ON with the most Computer Science Education job openings:
Computer Science Education jobs near you
Infographic showing various Computer Science Education job openings in Markham, ON as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.
Remote Computer Science Expert (PhD)

Remote Computer Science Expert (PhD)

Micro1

East York, ON • Remote

Full-time

This job post has expired 2 days ago. 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 — 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.

Apply