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Remote Soccer Video Analyst Jobs (NOW HIRING)

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Remote Soccer Video Analyst information

What are the key skills and qualifications needed to thrive as a Remote Soccer Video Analyst, and why are they important?

To excel as a Remote Soccer Video Analyst, you need a solid understanding of soccer tactics, strong analytical skills, and experience with video analysis, often supported by a background in sports science or coaching. Familiarity with video analysis software such as Hudl, Wyscout, or SportsCode, and sometimes relevant certifications, are typically expected. Attention to detail, critical thinking, and effective communication are crucial soft skills for drawing valuable insights and collaborating with coaches and players. These competencies ensure the delivery of clear, actionable analysis that can enhance team performance and strategy.

What is the difference between Remote Soccer Video Analyst vs Remote Soccer Scout?

AspectRemote Soccer Video AnalystRemote Soccer Scout
Required CredentialsSports management, coaching certifications, video analysis skillsScouting certifications, knowledge of player evaluation
Work EnvironmentAnalyzing game footage, data analysis, report writingResearching players, compiling reports, communicating with teams
Industry UsageUsed by teams for performance analysisUsed by clubs and agencies for talent identification

Remote Soccer Video Analysts focus on analyzing game footage and providing insights to improve team performance, while Remote Soccer Scouts specialize in evaluating and identifying talented players for recruitment. Both roles require video analysis skills and industry knowledge but serve different purposes within the soccer industry.

How does a Remote Soccer Video Analyst typically collaborate with coaching staff and players despite working off-site?

Remote Soccer Video Analysts use a variety of digital communication tools to share insights with coaches and players, such as video conferencing, cloud-based analysis platforms, and annotated video clips. Regular virtual meetings are held to present findings, discuss tactical improvements, and answer questions. Building strong rapport with on-site staff is essential, so analysts often maintain structured communication schedules and provide clear, actionable reports to ensure their observations effectively contribute to team strategy and player development.

What is a Remote Soccer Video Analyst?

A Remote Soccer Video Analyst is a professional who analyzes soccer matches and player performances by reviewing video footage, often from a remote location. Their responsibilities include breaking down games, identifying tactical patterns, and providing insights to coaches or teams to improve strategies. They use specialized software to tag events, assess player movements, and generate detailed reports. This role allows analysts to work from anywhere, often collaborating with coaching staff and players through online platforms.
More about Remote Soccer Video Analyst jobs
What cities are hiring for Remote Soccer Video Analyst jobs? Cities with the most Remote Soccer Video Analyst job openings:
What are the most commonly searched types of Soccer Video Analyst jobs? The most popular types of Soccer Video Analyst jobs are:
What states have the most Remote Soccer Video Analyst jobs? States with the most job openings for Remote Soccer Video Analyst jobs include:
Infographic showing various Remote Soccer Video Analyst job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.
Subject Matter Expert - Video & Motion Analytics

Subject Matter Expert - Video & Motion Analytics

micro1 AI

Indianapolis, IN โ€ข Remote

$13/hr

Part-time

Posted 18 days ago


Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expertโ€™s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so weโ€™re looking for teammates who are ready to jump in. If selected, weโ€™d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.