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Computer Science Remote Internships Jobs in Toronto, ON

AI Research Scientist - PhD

Toronto, ON ยท 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 ...

Remote (with hybrid options in Toronto) Compensation: Hourly ($32) About Us: At Vosyn, we embrace ... Currently enrolled or recently graduated from a Master's program in Computer Science, Software ...

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Computer Science Remote Internships information

What types of projects can I expect to work on during a remote computer science internship, and how will I collaborate with my team?

As a remote computer science intern, you'll typically work on real-world software development projects such as coding new application features, debugging existing code, or contributing to open-source initiatives. Communication and collaboration usually take place through tools like Slack, GitHub, and video conferencing platforms, allowing you to participate in daily stand-ups, code reviews, and team meetings. You may be paired with a mentor or work within a small agile team, gaining exposure to industry-standard development practices and collaborative workflows. While managing your own tasks independently is important, you'll also have regular check-ins and opportunities to ask questions, ensuring you remain connected and supported throughout the internship.

What is the difference between Computer Science Remote Internships vs Software Developer Internships?

AspectComputer Science Remote InternshipsSoftware Developer Internships
Required CredentialsTypically a computer science student or related field, some coding knowledgeSimilar, often requiring programming skills and coursework in software development
Work EnvironmentRemote, flexible, project-basedRemote or hybrid, focused on coding and software projects
Employer & Industry UsageTech companies, startups, research institutionsTech firms, software companies, startups
Search & Comparison IntentLooking for general computer science internship opportunitiesSeeking specific software development internship roles

Computer Science Remote Internships and Software Developer Internships share similar credentials and work environments, often targeting tech companies and startups. However, CS internships tend to be broader, encompassing various computer science topics, while Software Developer Internships focus specifically on coding and software creation. Both are valuable for gaining industry experience remotely.

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

To thrive as a Computer Science Remote Intern, you typically need a solid understanding of programming fundamentals, algorithms, and data structures, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and exposure to languages like Python, Java, or JavaScript are highly valuable. Strong self-motivation, time management, and effective written communication skills help interns excel in remote environments. These abilities enable interns to contribute effectively to distributed teams, manage projects independently, and adapt to rapidly changing technical tasks.

What are computer science remote internships?

Computer science remote internships are work opportunities for students or recent graduates to gain practical experience in computer science while working from a location outside of a traditional office, typically from home. Interns collaborate with teams online, using digital tools to complete tasks such as coding, software development, data analysis, or technical support. These internships provide valuable exposure to real-world projects, industry practices, and professional networking, all without the need to relocate. Remote internships are especially popular in tech fields where much of the work can be done online. They often offer flexibility in schedules and are available with companies around the world.
What job categories do people searching Computer Science Remote Internships jobs in Toronto, ON look for? The top searched job categories for Computer Science Remote Internships jobs in Toronto, ON are:
Infographic showing various Computer Science Remote Internships job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 5% Hybrid, and 5% Remote job distribution.
Senior Data Scientist - Computer Vision

Senior Data Scientist - Computer Vision

Zesty.ai

Toronto, ON โ€ข On-site, Remote

Other

Posted 14 days ago


Job description

Senior Data Scientist - Computer Vision

Remote, Canada

Events in recent years have made us all too familiar with the havoc natural disasters can wreak and the increasing frequency and intensity with which they occur. Despite record losses, conventional risk modeling methods continue to paint, at best, an incomplete picture of these threats.

ZestyAI uses novel data-gathering and data science methods to produce higher-quality information about the risks to property from catastrophes such as storms and wildfires. While AI alone may not be able to thwart these disasters, it can help us become better prepared for them, and ultimately lead to better outcomes.

As a Senior Data Scientist specializing in deep learning for computer vision, you will play a pivotal role in our Data Science and Machine Learning team. You will be responsible for training, deploying, and optimizing state-of-the-art deep learning models to tackle challenging computer vision problems. You will scale the development of top-tier models by leveraging diverse data sources, generating valuable insights, and maximizing the impact of our products. You thrive in a collaborative, innovative environment that moves fast and are comfortable establishing structures and processes that drive the company's success.

The Opportunity:

  • Explore data sources and develop new PropertyTech and InsurTech models using data science, including machine learning and deep learning.
  • Research, design, and implement deep learning algorithms and architectures that extract insights from imagery sources such as aerial imagery and geospatial data.
  • Lead the development of high-quality datasets for robust model training and evaluation.
  • Collaborate closely with cross-functional teams to understand requirements and translate product, engineering, and business constraints and questions into actionable data science problems.
  • Coach and provide feedback to members of the Data Science and Machine Learning team, fostering skill development and knowledge sharing.

What You Bring to the ZestyAI Team:

  • At least 5 years of experience applying machine learning techniques to computer vision applications.
  • BA/BS/BEng degree in Math, Physics, Computer Science, Engineering, Economics, or other related fields. MS or PhD is a plus.
  • Strong understanding of image processing, machine learning, deep learning, and AI principles.
  • Extensive hands-on experience designing and implementing deep learning models.
  • Experience deploying deep learning models in production environments.
  • Proficiency in Python, with experience using deep learning frameworks (e.g., PyTorch, TensorFlow) and related libraries (e.g., OpenCV, Pillow, Matplotlib, Plotly).
  • Understanding of data preprocessing and augmentation techniques for large-scale image datasets (bonus if experienced with aerial or satellite imagery).
  • Experience working with cloud computing platforms (e.g., Google Cloud Platform, AWS) and containerization/orchestration tools (e.g., Kubernetes, Docker).
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows.
  • Experience working with BigQuery and SQL.
  • Experience using generative AI coding tools such as Claude Code and Cursor.
  • Excellent problem-solving skills and ability to work independently or as part of a team in a dynamic environment.
  • Strong organizational and management skills, with experience implementing best practices and processes.
  • Proven ability to mentor and guide junior team members, fostering a collaborative and supportive environment.
  • Strong communication skills.
  • Must be legally eligible to work in Canada.ย 

Why ZestyAI:

  • Be part of a well-funded, growth-stage start-up.
  • Market-competitive compensation and equity incentives, giving you a stake in our future.
  • Comprehensive healthcare plan.
  • Flexible time off and fully remote work.
  • An upbeat and collaborative work culture.
  • Professional development opportunities and support for continued learning and growth.
  • Company-sponsored outings and offsites.

All of your personal information will be kept confidential according to EEO guidelines.