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Remote Data Science Tutor Jobs in Toronto, ON (NOW HIRING)

Mercor

Software Engineer - Data Science

Toronto, ON · Remote

CA$90 - CA$110/hr

Software & Data Science Expert Type: Contract Compensation: $90-$110/hour Location ... Remote Commitment: 15-20 hours/week Role Responsibilities * Author tasks to test AI reasoning over ...

Epistemix

Data Scientist

Toronto, ON · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

NTT DATA Services

AI Developer (REMOTE)

Toronto, ON · Remote

CA$84K - CA$146K/yr

This is a fully remote role and can be based anywhere in Canada. Job Responsibilities Include ... Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or ...

NTT DATA Services

AI Developer (REMOTE)

Toronto, ON · Remote

CA$84K - CA$146K/yr

This is a fully remote role and can be based anywhere in Canada. Job Responsibilities Include ... Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or ...

Rakuten Kobo

Data Analyst

Toronto, ON · On-site +1

Bachelor's degree in Computer Science, Data Science, or related field. * 5+ years of experience in ... Flexible hours and hybrid remote working environment * Subsidized in-office lunches * Four extended ...

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Remote Data Science Tutor information

What are the key skills and qualifications needed to thrive as a Remote Data Science Tutor, and why are they important?

To thrive as a Remote Data Science Tutor, you need a solid background in data science concepts, programming (Python or R), and statistical analysis, usually backed by a degree in a related field and tutoring or teaching experience. Familiarity with tools like Jupyter Notebook, Zoom, and learning management systems, as well as relevant certifications (e.g., Coursera or edX credentials), is typically required. Excellent communication, patience, and the ability to explain complex topics in simple terms help tutors connect with learners and address diverse questions. These skills are essential for effectively guiding remote students, fostering engagement, and ensuring successful learning outcomes in a virtual environment.

What are the most common challenges faced by remote data science tutors, and how can they be addressed?

Remote data science tutors often face challenges such as engaging students virtually, managing diverse learning paces, and ensuring clear communication of complex concepts. To address these, it's helpful to leverage interactive tools like virtual whiteboards and coding platforms, tailor lesson plans to individual student needs, and maintain regular check-ins. Building a supportive online community and providing timely feedback further enhance the learning experience for students and make tutoring more effective.

What are Remote Data Science Tutors?

Remote Data Science Tutors are professionals who provide instruction and guidance in data science topics through online platforms rather than in-person sessions. They help students or professionals understand concepts such as statistics, machine learning, data analysis, and programming languages like Python or R. By working remotely, these tutors can offer flexible scheduling and reach students in different geographic locations. Their goal is to support learners in building practical skills and solving real-world data science problems.

What is the difference between Remote Data Science Tutor vs Data Science Instructor?

AspectRemote Data Science TutorData Science Instructor
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or DASCA are commonOften requires advanced degrees and teaching certifications; industry experience is valued
Work EnvironmentWorks remotely, often one-on-one or small groups via online platformsCan be remote or in-person, usually in educational institutions or training centers
Employer & Industry UsageFreelance, online tutoring platforms, educational startupsUniversities, colleges, corporate training programs

While both roles involve teaching data science concepts, a Remote Data Science Tutor typically provides personalized, online tutoring to individual students or small groups, focusing on specific skills or projects. A Data Science Instructor usually teaches larger classes in academic or corporate settings, covering broader curricula. The key difference lies in the scope, environment, and audience of each role.

What are the most commonly searched types of Data Science Tutor jobs in Toronto, ON? The most popular types of Data Science Tutor jobs in Toronto, ON are:
What are popular job titles related to Remote Data Science Tutor jobs in Toronto, ON? For Remote Data Science Tutor jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Tutor jobs in Toronto, ON look for? The top searched job categories for Remote Data Science Tutor jobs in Toronto, ON are:
Remote Data Science Tutor jobs near you
Infographic showing various Remote Data Science Tutor job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Software Engineer - Data Science

Mercor

Toronto, ON • Remote

CA$90 - CA$110/hr

Full-time

This job post has expired today. Applications are no longer accepted.

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: Software & Data Science Expert
Type: Contract
Compensation: $90–$110/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Author tasks to test AI reasoning over technical documentation.
  • Evaluate AI models on professional document understanding.
  • Develop complex, multi-step requests with real-world workspace files.
  • Ensure tasks follow precise instructions and produce accurate outputs.
  • Use objective evaluation rubrics for task assessment.
  • Work independently and asynchronously to meet deadlines.

Qualifications

Must-Have

  • 3+ years of experience in software engineering or data science & analytics.

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.