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Internship Remote Football Analyst Jobs in Renton, WA

Directive

Marketing Intern (Remote US)

Seattle, WA · Remote

$20/hr

This is a part-time internship requiring approximately 6-7 hours per week. There is potential for ... You have a strong eye for detail, an analytical mindset, a keen interest in performance metrics ...

Directive

Email Marketing Intern (Remote US)

Seattle, WA · Remote

$20/hr

This is a part-time internship requiring approximately 6-7 hours per week. There is potential for ... You have a strong eye for detail, an analytical mindset, a keen interest in performance metrics ...

Directive

B2B Marketing Intern (Remote US)

Seattle, WA · Remote

$20/hr

This is a part-time internship requiring approximately 6-7 hours per week. There is potential for ... You have a strong eye for detail, an analytical mindset, a keen interest in performance metrics ...

Scowtt Inc

Intern - Product Management

Seattle, WA · On-site +1

$25 - $45/hr

In this Hybrid or remote role, you may get an opportunity to contribute to the development ... Experience with tools like Figma, Notion, Jira, or analytics platforms * Previous internship ...

Worldvision

Android Application Developer Intern

Home, WA · Remote

$21.25 - $28/hr

... Remote within the US World Vision Internships offer a 3-month opportunity for exceptional students ... data analytics, audit and assurance, finance, accounting, and fraud. The intern will also ...

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Internship Remote Football Analyst information

See Renton, WA salary details

$34.9K

$82.4K

$146.2K

How much do internship remote football analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for internship remote football analyst in Renton, WA is $82,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Remote Football Analyst, and why are they important?

To thrive as an Internship Remote Football Analyst, you need a solid understanding of football tactics, analytical skills, and preferably a background in sports management or data analysis. Familiarity with video analysis software (such as Hudl or Wyscout), Excel, and data visualization tools is typically expected. Strong attention to detail, effective communication, and the ability to work independently make candidates stand out. These skills and qualities are crucial for delivering actionable insights, supporting coaching decisions, and maximizing team performance in a virtual environment.

What are some typical responsibilities for an intern working remotely as a football analyst?

As a remote football analyst intern, you can expect to assist with collecting and analyzing match data, preparing scouting reports, and supporting the creation of performance summaries for teams or individual players. You may use software tools to break down game footage, identify key patterns, and contribute insights to the analytical team. Regular collaboration with senior analysts and coaches through virtual meetings is common, providing valuable opportunities to learn and contribute to strategy discussions. Time management and proactive communication are essential, as you'll often work independently while meeting project deadlines.

What does a remote football analyst intern do?

A remote football analyst intern assists in analyzing football matches, player statistics, and team performance using data and video analysis tools. They typically support the coaching staff or analytics team by providing insights that can inform tactics, scouting, and player development. Responsibilities may include gathering data from games, creating reports, and presenting findings to relevant stakeholders. The internship is conducted remotely, meaning all tasks are performed online without needing to be physically present at the team's location.

What is the difference between Internship Remote Football Analyst vs Remote Football Data Coordinator?

AspectInternship Remote Football AnalystRemote Football Data Coordinator
Required CredentialsEnrolled in sports management, data analysis, or related fields; basic knowledge of footballExperience with data management, database tools, and sports statistics
Work EnvironmentRemote, flexible hours, internship settingRemote, often full-time, data-focused role
Employer & Industry UsageSports teams, media outlets, analytics firmsSports organizations, data companies, analytics providers
Search & Comparison IntentLearning, entry-level experience, sports analysisData management, sports statistics, analytics coordination

The Internship Remote Football Analyst typically involves entry-level sports analysis tasks, focusing on learning and supporting football data projects. In contrast, the Remote Football Data Coordinator handles data organization and management, often requiring more experience with databases. Both roles are remote and industry-specific, but they differ in responsibilities and experience levels.

What are popular job titles related to Internship Remote Football Analyst jobs in Renton, WA? For Internship Remote Football Analyst jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Internship Remote Football Analyst jobs in Renton, WA look for? The top searched job categories for Internship Remote Football Analyst jobs in Renton, WA are:
What cities near Renton, WA are hiring for Internship Remote Football Analyst jobs? Cities near Renton, WA with the most Internship Remote Football Analyst job openings:
Internship Remote Football Analyst jobs near you
Master's Fall Machine Learning Internship (ATG - Visual Search)

Master's Fall Machine Learning Internship (ATG - Visual Search)

Pinterest

Seattle, WA • On-site, Remote

Other

Posted 6 days ago

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.


What you'll do:

  • Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI.
  • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
  • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
  • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
  • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
  • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  • Write clean, efficient, and sustainable code
  • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers


What we're looking for:

  • This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs.
  • Ability to legally work full time (40 hours/week) from September-December 2026
  • Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
  • Proficiency with AI-native engineering, including the design of agent-friendly codebases.
  • High degree of autonomy in learning new agent-first development tools.
  • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
  • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
  • Experience in research and in solving analytical problems
  • Strong communicator and team player. Being able to find solutions for open-ended problems.

Preferred Qualifications:

    • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    • Strong passion for research and for answering hard questions with research
    • Passion for applied ML and the Pinterest product

Why Intern at Pinterest?

  • Meaningful Work: Contribute to projects that impact millions of users worldwide.
  • Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.


In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  • This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.


US based applicants only

The salary for this position is $11,00 monthly.

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Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

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