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Freelance Sports Data Collection Jobs (NOW HIRING)

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

... data collection, validation, and task execution while meeting defined requirements. * Ensure ... Benefits Why this freelance opportunity might be a great fit for you? * Work fully remote on your ...

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 ...

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Freelance Sports Data Collection information

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$14

$47

$132

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

As of Jul 13, 2026, the average hourly pay for freelance sports data collection in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Sports Data Collection vs Freelance Sports Writer?

AspectFreelance Sports Data CollectionFreelance Sports Writer
CredentialsBasic knowledge of sports statistics, data entry skillsWriting skills, sports knowledge, possibly journalism background
Work EnvironmentRemote, data-focused tasks, often using specialized softwareRemote or on-site, writing articles, blogs, or reports
Employer & Industry UsageSports analytics companies, media outlets, betting firmsMedia outlets, sports websites, magazines

Freelance Sports Data Collection involves gathering and inputting sports statistics, focusing on accuracy and data management. Freelance Sports Writers create content, articles, and reports about sports events. While both roles require sports knowledge, data collection emphasizes technical skills, whereas writing emphasizes communication and storytelling.

What are some common challenges faced by freelance sports data collectors, and how can they be addressed?

Freelance sports data collectors often face challenges such as working irregular hours, dealing with fast-paced environments during live events, and ensuring data accuracy under pressure. To address these challenges, it's important to develop strong time-management skills, familiarize yourself with the sport’s rules, and practice using data entry tools before events. Building a network with other data collectors can also provide support and tips for handling tricky situations. Being adaptable and proactive in communicating with event coordinators can further help ensure smooth data collection.

What are the key skills and qualifications needed to thrive as a Freelance Sports Data Collector, and why are they important?

To thrive as a Freelance Sports Data Collector, you need strong attention to detail, knowledge of sports rules and statistics, and often a background in data entry or sports analytics. Familiarity with mobile data collection apps, statistical software, and sometimes official accreditation from sports organizations is typically required. Excellent observational skills, reliability, and the ability to work independently under tight deadlines help individuals stand out in this role. These skills ensure accurate, timely data collection, which is critical for sports analytics, reporting, and betting industries.

What is freelance sports data collection?

Freelance sports data collection involves gathering and recording statistics and information about sports events on a contract or per-project basis. Freelancers may attend games in person or collect data remotely, depending on the assignment. The data can include scores, player statistics, play-by-play actions, and other relevant metrics that are valuable to sports organizations, media outlets, and analytics companies. This work requires attention to detail, a strong understanding of the sport, and the ability to work independently. Freelance sports data collectors often use specialized software or platforms to submit their data in real time.
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What are the most commonly searched types of Sports Data Collection jobs? The most popular types of Sports Data Collection jobs are:
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Freelance Sports Data Collection jobs near you
Infographic showing various Freelance Sports Data Collection job openings in the United States as of July 2026, with employment types broken down into 20% Internship, 20% Full Time, and 60% Part Time. Highlights an 100% In-person job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Dallas, TX • Remote

$37/hr

Part-time

Re-posted yesterday

Job description

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About the Role

This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Compensation

On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.

Requirements

  • At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
  • Strong attention to detail and commitment to data accuracy.
  • Self-directed work ethic with ability to troubleshoot independently.
  • A link to GitHub is a plus.
  • English proficiency: Upper-intermediate (B2) or above (required).

Benefits

Why this freelance opportunity might be a great fit for you?

  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Apply