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Remote Sports Data Collection Jobs in Dallas, TX

Wood Plc

GIS Analyst - FEMA

Dallas, TX · Remote

Customize GIS workflow and software programs for data collection, engineering, and environmental applications #LI-Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA ...

HumanSignal

High Volume (TOFU) Recruiter

Dallas, TX · On-site +1

$55K - $100K/yr

... data collection and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design ...

SysMind Tech

Remote | SAP ME & MII Consultant

Richardson, TX · On-site +1

$60.25 - $82.25/hr

Remote/ Richardson, TX 75082 Note: U.S. Citizens only, as this is for an FAA-compliant/regulated ... HANA, PODs, data collection (DC), genealogy, returns management, site-to-site transfer, Worker ...

YO AI Labs

Korean Language Expert

Dallas, TX · Remote

$65 - $100/hr

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

HumanSignal

Delivery Lead

Dallas, TX · Remote

$110K - $140K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

ENFRA LLC

Energy Engineer PE III

Coppell, TX · On-site +1

Remote Monitoring * Oversee the collection and evaluation of energy, weather, and building automation data on some periodic basis. * Oversee the review of data and identification of facility ...

ENFRA LLC

Energy Engineer PE III

Coppell, TX · On-site +1

Remote Monitoring * Oversee the collection and evaluation of energy, weather, and building automation data on some periodic basis. * Oversee the review of data and identification of facility ...

ENFRA LLC

Energy Engineer PE III

Coppell, TX · On-site +1

$116K - $156K/yr

Remote Monitoring * Oversee the collection and evaluation of energy, weather, and building automation data on some periodic basis. * Oversee the review of data and identification of facility ...

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Showing results 21-40

All JobsSports Data Collection JobsRemote Sports Data Collection JobsRemote Sports Data Collection Jobs in Dallas, TX

Remote Sports Data Collection information

See Dallas, TX salary details

$15

$25

$31

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

As of Sep 3, 2026, the average hourly pay for remote sports data collection in Dallas, TX is $25.04, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $25.67 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote sports data collection specialist?

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 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 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 are the most commonly searched types of Sports Data Collection jobs in Dallas, TX?

The most popular types of Sports Data Collection jobs in Dallas, TX are:

What are popular job titles related to Remote Sports Data Collection jobs in Dallas, TX?

For Remote Sports Data Collection jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Sports Data Collection jobs in Dallas, TX look for?

The top searched job categories for Remote Sports Data Collection jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Sports Data Collection jobs?

Cities near Dallas, TX with the most Remote Sports Data Collection job openings:

Remote Sports Data Collection jobs near you
Infographic showing various Remote Sports Data Collection job openings in Dallas, TX as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Temporary. Highlights an 100% Remote job distribution, with an average salary of $52,073 per year, or $25 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Dallas, TX • Remote

$45/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality 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 innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

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

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
  • 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.

Educational qualifications

  • At least 5+ years 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.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • 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)

Additional requirements

  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • 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)

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation 

On this project, contributors can earn up to $45 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.

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