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Remote F1 Data Analyst Jobs in Georgia (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote/Hybrid - USA Reports to: Manager, Contract and Data Management Department Name: Strategic Sourcing/Supply Chain Position Type : Full Time, Exempt Position Summary The Data Management Analyst ...

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... Defines the data analytics research plan, scope and resources required to meet the objectives of ...

Financial Analyst

Atlanta, GA · Remote

$70K - $95K/yr

... remote environment Nice to Have * Experience with ERP systems such as SAP, Oracle, NetSuite, or Microsoft Dynamics * Familiarity with SQL or Python for financial data analysis * Background in FP&A, ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

$164K/yr

Req ID: 375409 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Infor Workbrain/WFM Funcitional Analyst - REMOTE to join our team in ...

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Georgia Remote (Atlanta, GA - Preferred). Hybrid or Remote (if remote must be able to travel to ... data together with the business intelligence it provides. This position supports project delivery ...

Analyze data from other BSS/OSS systems to assist with mapping for new company conversions ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

Showing results 21-40

Remote F1 Data Analyst information

What is a Remote F1 Data Analyst?

A Remote F1 Data Analyst is a professional who analyzes data related to Formula 1 racing from a remote location, rather than being physically present at the race circuits or team headquarters. Their work involves collecting, processing, and interpreting large sets of telemetry, performance, and strategy data to help teams gain a competitive edge. They use specialized software and analytical tools to provide actionable insights on car performance, driver behavior, and race strategies. This role requires strong technical and analytical skills, as well as an understanding of motorsport dynamics. Working remotely, they collaborate closely with engineers, strategists, and other team members through digital communication platforms.

What skills and qualifications are needed to thrive as a Remote F1 Data Analyst?

To thrive as a Remote F1 Data Analyst, you need strong analytical skills, proficiency in data modeling, and a background in engineering, mathematics, or computer science. Familiarity with data analysis tools such as MATLAB, Python, SQL, and telemetry systems, as well as experience with motorsport-specific software, is highly valuable. Attention to detail, problem-solving ability, and clear communication are important soft skills for interpreting data and collaborating with remote teams. These skills are crucial for delivering actionable insights that drive race strategy and performance optimization in a fast-paced and competitive environment.

How does a Remote F1 Data Analyst collaborate with race engineers and teams given the virtual nature of the role?

As a Remote F1 Data Analyst, you'll regularly interact with race engineers, strategists, and other members of the technical team through virtual communication platforms. This collaboration often involves analyzing real-time telemetry and performance data, sharing findings via online dashboards or reports, and participating in strategy meetings over video calls. Despite working remotely, you are expected to be highly responsive and proactive, especially during race weekends, to ensure your insights contribute directly to race decisions. Strong digital communication skills and the ability to work across time zones are essential for effective collaboration in this dynamic, fast-paced environment.

What is the difference between Remote F1 Data Analyst vs Remote Motorsport Data Analyst?

AspectRemote F1 Data AnalystRemote Motorsport Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with motorsport dataSimilar credentials; focus on motorsport-specific data analysis skills
Work EnvironmentRemote, often collaborating with F1 teams or broadcastersRemote, working with various motorsport teams or organizations
Industry UsagePrimarily in Formula 1 racingBroader motorsport industry including NASCAR, MotoGP, etc.
Common Search/ComparisonYesYes

The Remote F1 Data Analyst specializes in analyzing data specific to Formula 1 racing, often working with F1 teams or broadcasters. In contrast, the Remote Motorsport Data Analyst covers a wider range of motorsport disciplines, requiring broader industry knowledge. Both roles demand similar technical skills and credentials but differ in their focus and industry scope.

What are the most commonly searched types of F1 Data Analyst jobs in Georgia?

The most popular types of F1 Data Analyst jobs in Georgia are:

What job categories do people searching Remote F1 Data Analyst jobs in Georgia look for?

The top searched job categories for Remote F1 Data Analyst jobs in Georgia are:

What cities in Georgia are hiring for Remote F1 Data Analyst jobs?

Cities in Georgia with the most Remote F1 Data Analyst job openings:

Infographic showing various Remote F1 Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 25% In-person, and 75% Remote job distribution.

AI Data Science Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$100 - $200/hr

Part-time

Posted 11 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.