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Remote Ap Computer Science Teacher Jobs in Toronto, ON

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Background in scientific teaching or exam/problem-set design. * Experience with computational ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Computer Science PhD Researchers Type: Contract Compensation: $70-$90/hour Location: Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with large language ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$110 - CA$145/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical ...

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$60 - CA$100/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

Mercor

AI Assessment Specialist - PhD

Toronto, ON · On-site +1

CA$66 - CA$84/hr

Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66-$84/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities * Author original computer science questions ...

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Remote Ap Computer Science Teacher information

What is a remote AP Computer Science teacher?

Remote AP Computer Science teachers are educators who teach Advanced Placement (AP) Computer Science courses to high school students via online platforms rather than in a traditional classroom setting. They use digital tools and resources to deliver lessons, assign coursework, and assess student progress. Their goal is to prepare students for the AP Computer Science exam, while also ensuring they understand key programming concepts and problem-solving skills. These teachers often interact with students through video calls, discussion boards, and online assessments. The remote aspect allows for flexible learning and can reach students in various locations.

How do remote AP Computer Science teachers effectively engage students and manage classroom participation in a virtual environment?

Remote AP Computer Science Teachers often use a combination of interactive tools, live video sessions, and discussion forums to foster student engagement. Managing participation can be challenging, so teachers typically set clear expectations, encourage collaboration through group projects or coding pair work, and provide timely feedback. Leveraging platforms like Zoom, Google Classroom, and online coding environments helps simulate an interactive classroom experience, enabling students to ask questions and collaborate despite the distance.

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

To thrive as a Remote AP Computer Science Teacher, you need strong subject matter expertise in computer science, a relevant teaching credential, and experience with AP curriculum standards. Familiarity with virtual classroom platforms, coding environments (like Java or Python IDEs), and learning management systems is essential. Excellent communication, adaptability, and the ability to engage students remotely are standout soft skills. These competencies ensure students receive high-quality instruction, maintain motivation, and are well-prepared for the AP exam in a virtual setting.

What is the difference between Remote Ap Computer Science Teacher vs Remote Computer Science Tutor?

AspectRemote Ap Computer Science TeacherRemote Computer Science Tutor
CredentialsTypically requires a teaching certification and a degree in computer science or educationMay only require a background in computer science or related field; certification not always necessary
Work EnvironmentUsually works with multiple students in a classroom setting, often following curriculum standardsOne-on-one or small group sessions, personalized instruction
Employer & Industry UsageEmployed by schools, educational platforms, or districts to prepare students for AP examsHired by tutoring platforms, individual clients, or online education companies for personalized help

The main difference is that Remote Ap Computer Science Teachers typically work within formal educational settings, following curriculum standards and requiring teaching credentials, whereas Remote Computer Science Tutors focus on personalized, flexible instruction often without formal teaching certification. Both roles involve teaching computer science remotely but serve different educational needs and environments.

What are the most commonly searched types of Ap Computer Science Teacher jobs in Toronto, ON?

The most popular types of Ap Computer Science Teacher jobs in Toronto, ON are:

What are popular job titles related to Remote Ap Computer Science Teacher jobs in Toronto, ON?

For Remote Ap Computer Science Teacher jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Ap Computer Science Teacher jobs in Toronto, ON look for?

The top searched job categories for Remote Ap Computer Science Teacher jobs in Toronto, ON are:

Remote Ap Computer Science Teacher jobs near you

Computational Statistics Expert - PhD

Mercor

Toronto, ON • Remote

CA$70 - CA$90/hr

Full-time

Posted 13 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type: Contract
Compensation: $70–$90/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
  • Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate with AI research teams to improve problem setups and solution validators.
  • Work independently in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

  • Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
  • Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
  • Strong Python skills.
  • Ability to work independently and refine problem designs based on feedback.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple computational domains or specialized software packages.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.