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Remote Sports Data Collection Jobs (NOW HIRING)

SumerSports LLC

AI Application Engineer

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Implement prompt-based and retrieval-augmented systems (RAG) that answer complex sports questions ...

Grafana Labs

Grafana Labs seeks a Director of Product Management to lead Data Collection, Transformation, and ... This is a remote position aimed specifically at candidates in Germany, offering a competitive ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$120K - $150K/yr

... remote position. Based in Northborough, this role plays a crucial part in harnessing data to ... collection and integrity. Your contributions will directly influence strategic decisions and ...

Gambling.com Group

Account Executive (LATAM)

GAMB) is a multi-award winning provider of marketing and sports data services looking for ... Flexible work environment with the option for remote work * Lifestyle Allowance/Lifestyle Spending ...

Govcio LLC

Project Manager - Data Analytics Lead (Remote)

$53 - $71.75/hr

The selected candidate will provide contracted support for TAP program data collection, analysis ... This position may include remote/offsite support, periodic support at VBA Central Office in ...

Goldbelt, Inc.

Software/Data Engineer

$110K - $145K/yr

Remote (U.S.) with occasional travel. Responsibilities Essential Job Functions: * Design, develop, test, and maintain software applications. * Develop and maintain databases and data collection ...

GDIT

Program/Data Analyst Advisor

WV · On-site +1

$124K - $143K/yr

No GDIT is hiring a Principal Program/Data Analyst to support the data collection and analysis ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Goldbelt Apex

Software/Data Engineer

$110K - $145K/yr

Remote (U.S.) with occasional travel. Responsibilities Essential Job Functions: * Design, develop, test, and maintain software applications. * Develop and maintain databases and data collection ...

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Remote Sports Data Collection information

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How much do remote sports data collection jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for remote sports data collection in the United States is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $25.96 per hour, depending on experience, location, and employer.

What are some common challenges faced in remote sports data collection roles, and how can they be addressed?

One common challenge in remote sports data collection is ensuring real-time accuracy while working independently, often under tight deadlines during live events. Technical issues such as unstable internet connections or software glitches can also occur, potentially impacting data integrity. To address these challenges, it’s important to have a reliable internet setup, stay familiar with the data collection platform, and maintain clear communication with team supervisors. Proactively preparing backup tools and following established protocols can further help ensure data quality and timely delivery.

What are the key skills and qualifications needed to thrive as a Remote Sports Data Collection Specialist, and why are they important?

To thrive as a Remote Sports Data Collection Specialist, you need a keen attention to detail, strong analytical skills, and a solid understanding of various sports, often supported by relevant experience or education in sports management or statistics. Familiarity with specialized data entry software, live scoring platforms, and sometimes certifications in data analysis tools are typically required. Exceptional time management, reliability, and clear communication help professionals excel, especially when working independently or coordinating with global teams. These skills are crucial for ensuring the accuracy, timeliness, and reliability of sports data that powers analytics, broadcasts, and betting markets.

What is the difference between Remote Sports Data Collection vs Remote Sports Data Entry?

AspectRemote Sports Data CollectionRemote Sports Data Entry
CredentialsBasic data handling skills, familiarity with sports statisticsTyping skills, attention to detail, basic computer skills
Work EnvironmentFieldwork, online platforms, live event coverageHome-based, computer-focused tasks
Employer & Industry UsageSports analytics companies, media outlets, sports organizationsData management firms, sports websites, research companies
Search & Comparison IntentUnderstanding roles involving sports data collection and analysisClarifying data entry tasks related to sports information

Remote Sports Data Collection involves gathering live or recorded sports data, often requiring fieldwork or online monitoring during events. In contrast, Remote Sports Data Entry focuses on inputting sports data into databases from existing sources. Both roles support sports industry operations but differ in scope and environment.

What is remote sports data collection?

Remote sports data collection involves gathering, recording, and sometimes analyzing sports-related statistics and information from a distance, typically using digital tools and platforms. Professionals in this role may watch live broadcasts, access official feeds, or use specialized software to collect data such as scores, player statistics, and game events. This data is then used by organizations like sports analytics firms, betting companies, and media outlets. The job allows for flexible work locations and often requires strong attention to detail and a solid understanding of the sport being covered.
More about Remote Sports Data Collection jobs
What cities are hiring for Remote Sports Data Collection jobs? Cities with the most Remote Sports Data Collection job openings:
What are the most commonly searched types of Sports Data Collection jobs? The most popular types of Sports Data Collection jobs are:
What states have the most Remote Sports Data Collection jobs? States with the most job openings for Remote Sports Data Collection jobs include:
What job categories do people searching Remote Sports Data Collection jobs look for? The top searched job categories for Remote Sports Data Collection jobs are:
Remote Sports Data Collection jobs near you
Infographic showing various Remote Sports Data Collection job openings in the United States as of July 2026, with employment types broken down into 67% Part Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.

AI Application Engineer

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 18 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
As an AI App Engineer, you'll be the hands-on builder behind the intelligent products that make Sumer Sports unique. You'll own the end-to-end development of LLM-based applications - from prompt and retrieval design to evaluation, orchestration, and user interface integration.
You'll work within a cross-functional product pod (with PMs, designers, and Eval Engineers) and partner closely with the LLMOps Platform team and Sports Data teams to ship high-quality, domain-aware, and trustworthy AI experiences.
Responsibilities:
  • Design and build AI-powered user features: Implement prompt-based and retrieval-augmented systems (RAG) that answer complex sports questions and generate insights.
  • Build agents and workflows that combine deterministic logic with LLM reasoning.
  • Prototype and iterate fast: Use prompting, tool orchestration, and retrieval design to rapidly build and refine AI behaviors. Collaborate with Eval Engineers to build golden sets and automate quality checks before release.
  • Work closely with the LLMOps Platform team: Use shared eval frameworks, prompt registries, and model gateways. Provide feedback loops to improve platform reliability, latency, and safety.
  • Integrate with deep learning and data systems: Combine structured stats, tracking data, and video-derived features into AI-powered applications. Build APIs and UI layers that expose insights to coaches, teams, and partners.
  • Push the limits of applied AI: Explore how LLMs, retrieval, and deterministic logic can create novel sports analytics tools. Use AI internally to accelerate development (code generation, testing, debugging).

Qualifications:
  • 5+ years of experience as a Software Engineer, ML Engineer, or AI Developer.
  • Proficiency in Python and TypeScript/JavaScript (Node.js or React).
  • Hands-on experience with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel, Haystack).
  • Strong understanding of prompt engineering, retrieval-augmented generation, and evaluation workflows.
  • Ability to design robust backend systems integrating APIs, vector databases, and orchestration layers.
  • Curiosity and creativity to turn ambiguous problems into structured, production-quality systems.

Nice to Have:
  • Familiarity with vector databases (Pinecone, Weaviate, Qdrant) and observability tools (Langfuse, Arize Phoenix, Promptfoo).
  • Experience building multi-agent workflows or LLM tool-use systems.
  • Understanding of sports data - especially football (tracking data, player metrics, game logs).
  • Experience deploying on Vercel, AWS, or GCP with modern CI/CD.
  • Comfortable working in a pod-based, cross-functional environment with designers, PMs, and AI researchers.

Benefits:
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

Apply