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Player Development Intern Jobs in Ontario (NOW HIRING)

Intern

Toronto, ON · On-site +1

You will be customer oriented and a team player to keep up with BIG's long tradition of being a ... Keep up-to-date with the latest developments in AI/ML * Work with data engineers and assist in data ...

$20/hr

Activities focus on leadership development, placemaking, and public showcases. You will play a key ... Support team registration and player check-in processes. * Maintain participant sign-in sheets ...

Process onboarding documentation during orientation Talent Development & Management: * Assist in ... A team player and takes initiative to assist other team members when required. Marina Bay Sands is ...

Intern

Toronto, ON · Hybrid

CA$40K - CA$45K/yr

Strong communicator, organized, detail-oriented, and a team player. * Curious, eager to learn, and ... A focused commitment to career development and personal success - let us help you. * Access to ...

Intern

Toronto, ON · Hybrid

CA$40K - CA$45K/yr

Strong communicator, organized, detail-oriented, and a team player. * Curious, eager to learn, and ... A focused commitment to career development and personal success - let us help you. * Access to ...

Working alongside cross-functional teams, you will contribute to content development, campaign ... Collaborative Team Player: Ability to work effectively across diverse teams and stakeholders

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Player Development Intern information

What is a player development intern?

A Player Development Intern is an entry-level position within sports organizations, such as college or professional teams, focused on supporting the growth and well-being of athletes. Duties typically include assisting with educational programs, life skills workshops, and coordinating resources to help players succeed both on and off the field. Interns may also help with administrative tasks, event planning, and maintaining compliance with league or university regulations. This role offers valuable experience for those interested in sports management, coaching, or athlete support services.

What are the typical responsibilities of a player development intern within a sports organization?

A Player Development Intern typically assists with organizing and executing programs that support athletes’ personal and professional growth. This can include helping with workshops, managing logistics for team events, tracking player progress, and collaborating with coaches and support staff. Interns may also handle administrative tasks, data entry, and assist with coordinating community outreach initiatives. The role offers hands-on experience while working closely with experienced professionals, providing valuable insight into the operations of a player development department.

What are the key skills and qualifications needed to thrive as a player development intern, and why are they important?

To succeed as a Player Development Intern, you typically need a background in sports management or related fields, knowledge of athletic training, and a passion for athlete growth. Familiarity with performance analytics tools, video analysis software, and sometimes basic certifications in coaching or first aid are advantageous. Strong interpersonal skills, organization, and a proactive attitude help you build rapport with athletes and contribute effectively to the development team. These skills ensure that interns support both player progress and overall program success through effective collaboration and detailed analysis.

What are the most commonly searched types of Player Development jobs in Ontario?

The most popular types of Player Development jobs in Ontario are:

What are popular job titles related to Player Development Intern jobs in Ontario?

For Player Development Intern jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Player Development Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Intern

Toronto, ON • On-site, Remote

Internship

Posted 6 days ago


Job description

Classification: Intern

Practice: AI

Location: Remote/Hybrid

Description

As a ML Developer Intern you will work closely with the ML Developers and Senior ML Engineers to build AI/ML/GenAI solutions. You will be working with the team to develop innovative solutions in artificial intelligence to resolve concrete and complex business challenges. You will have an inquisitive and strategic mindset, always looking for the new but with an applied focus of solving business problems with technology solutions using an Agile approach. You will be customer oriented and a team player to keep up with BIG's long tradition of being a team of highly experienced professionals that customers love to work with because they feel like one of their own.

Responsibilities

  • Translate business needs into AI/ML and GenAI solutions
  • Build AI/ML models using accepted best practices
  • Keep up-to-date with the latest developments in AI/ML
  • Work with data engineers and assist in data acquisition, preparation and cleansing from various sources
  • Assess model performance and reliability and make tradeoffs against quality metrics
  • Prepare reports and presentations on results
  • Prepare data visualisation front-ends as required to communicate insights from the model
  • Use a software engineering approach to build AI/ML solutions that can be effectively operationalized and run in a reliable manner to serve the needs of critical business workflows

Qualifications

  • A student or recent grad in Computing Science, Mathematics, Physics, Engineering or related
  • Prior experience in development of machine learning solutions, including NLP, Computer Vision, Generative AI, Time Series
  • Knowledge and experience with relevant program languages and tools like Python, PyTorch and Scikit-learn
  • Eager to research and learn new topics and technologies
  • Nice to have knowledge
    • Hyperscaler environments, like Microsoft Azure, Amazon AWS, Google GCP, etc. and the associated ML/AI suites
    • Databricks
    • Vector Databases, Retrieval Augmented Generation and Large Language Models is an asset