Remote Sports Data Scout information
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$8.94 is the 25th percentile. Wages below this are outliers.
$8.68 - $9.66
16% of jobs
$10.64 - $11.63
0% of jobs
$11.63 - $12.61
0% of jobs
$12.61 - $13.59
8% of jobs
The median wage is $13.81 / hr.
$13.59 - $14.58
24% of jobs
$14.58 - $15.56
4% of jobs
$15.56 - $16.54
0% of jobs
$16.72 is the 75th percentile. Wages above this are outliers.
$16.54 - $17.53
11% of jobs
$17.53 - $18.51
16% of jobs
How much do remote sports data scout jobs pay per hour?
As of Aug 14, 2026, the average hourly pay for remote sports data scout in the United States is $13.40, according to ZipRecruiter salary data. Most workers in this role earn between $8.65 and $17.31 per hour, depending on experience, location, and employer.
To thrive as a Remote Sports Data Scout, you need a deep understanding of sports rules, strong observational abilities, and attention to detail, often supported by prior experience or education in sports analytics. Familiarity with data collection platforms, live scoring systems, and sometimes certifications in sports data analysis tools are typically required. Excellent communication, reliability, and the ability to focus under pressure are standout soft skills for this position. These skills ensure accurate, real-time data reporting, which is critical for the integrity and value of sports analytics and betting industries.
Remote Sports Data Scouts are professionals who watch live sports events—often via video streams—and collect real-time data such as scores, player statistics, and key moments. They use specialized software to ensure the accuracy and speed of the information, which is used by sports organizations, broadcasters, and betting companies. Being a remote role, scouts work from home or any location with a reliable internet connection. Attention to detail and a strong understanding of the sport are essential for success in this job.
Remote Sports Data Scouts often face challenges such as maintaining focus during live sporting events, accurately recording fast-paced action, and ensuring reliable internet connectivity. To address these, it's helpful to develop strong attention to detail, use efficient note-taking tools, and test all technical equipment before each assignment. Additionally, staying updated on sports rules and maintaining communication with the data team can help prevent errors and improve data quality.
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