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Internship Remote Football Analyst Jobs in Renton, WA

Novoco

2027 Staff Accountant Intern

Seattle, WA · On-site +1

$29/hr

Our trendsetting interns learn hands-on what it takes to be a staff accountant for a growing ... Some positions at Novogradac may be open to remote or hybrid work arrangements depending on ...

City of Bellevue, WA

Long Range Planning Intern

Bellevue, WA · On-site +1

$29.21 - $40.31/hr

Variable Remote Employment: Flexible/Hybrid Job Number: 26-00206 Department: Community Development ... Analyzing and describing community conditions in an existing conditions report; * Draft and editing ...

Justice Law Corp

Post-Bar Law Clerk

Seattle, WA · On-site +1

$35 - $45/hr

Contribute to case analysis and legal research * Develop core litigation skills under attorney ... Previous internship or clerkship experience * Familiarity with employment law concepts * Experience ...

Compass Group

Telehealth Dietitian

Seattle, WA · On-site +1

$33 - $40/hr

Location : remote Setting : acute care telehealth: inpatient or outpatient Schedule : flexible ... Trains and mentors patient services staff and interns as applicable Qualifications : * Credentialed ...

Compass Group

Telehealth Dietitian

Seattle, WA · On-site +1

$33 - $40/hr

Location : remote Setting : acute care telehealth: inpatient or outpatient Schedule : flexible ... Trains and mentors patient services staff and interns as applicable Qualifications : * Credentialed ...

Miratech

Genesys Cloud CX Change Lead (Part-time)

Seattle, WA · On-site +1

$66.50 - $90.75/hr

Partner with Project Managers, Functional Analysts, and Business Analysts to align training and ... remote work. * Growth Mindset : reap the benefits of a range of professional development ...

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All JobsInternship Remote Football Analyst JobsInternship Remote Football Analyst Jobs in Renton, WA

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 Jun 26, 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 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 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 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
ML PhD Intern - LLMs & Generative AI

ML PhD Intern - LLMs & Generative AI

Truveta

Seattle, WA • On-site

Internship

Posted 6 days ago

Job description

ML PhD Intern - LLMs & Generative AI
Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the internship program requires that you are physically present in the United States for the duration of the internship. #LI-remote
Who We Need
We are seeking a highly motivated and talented Machine Learning PhD Intern to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
Internship Details
Our Research PhD Internship is designed for candidates who have finished their classes and are working only on research work to complete their PhD. Candidates must be within 1 year of their graduation date from their PhD program. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our internships are designed to be a minimum of 10 weeks with the opportunity to extend beyond the initially agreed term based on the company's needs and the candidate's desires.
This Opportunity
We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.
In this role, you will:
  • Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
  • Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
  • Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
  • Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
  • Deliver the next generation of innovation in trustworthy healthcare.

Key Qualifications
  • Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
  • Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
  • Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
  • Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
  • Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
  • Strong communication skills and the ability to work effectively in a collaborative research environment

Preferred Qualifications
  • Experience with distributed parallel training, large-scale multi-modal foundation and generative models
  • Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
  • Familiarity with training multi-modal foundation models
  • Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
  • A track record of publications and contributions to the machine learning and natural language processing communities

This internship opportunity offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being.
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We offer:
  • Competitive compensation
  • Company-issued laptop and equipment
  • Opportunities for future full-time positions
  • The hourly pay for this position is $45

Truveta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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