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Remote Mlb Data Analyst Jobs in Taylor Ridge, IL

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Biostatistician

Davenport, IA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Experience analyzing denials workflows, claim issues, or operational data The wage range for this ... This is a remote role with minimal travel requirements. A successful candidate would possess these ...

Showing results 21-40

Remote Mlb Data Analyst information

See Taylor Ridge, IL salary details

$32.4K

$78.7K

$129.6K

How much do remote mlb data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote mlb data analyst in Taylor Ridge, IL is $78,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,400.00 per year, depending on experience, location, and employer.

What is a remote MLB data analyst?

A Remote MLB Data Analyst is a professional who analyzes baseball data for Major League Baseball (MLB) teams or related organizations while working remotely. Their responsibilities often include collecting, cleaning, and interpreting large datasets related to player performance, game strategy, and team statistics. They use statistical tools, programming languages such as Python or R, and data visualization software to provide insights that can help teams make informed decisions. This role requires strong analytical skills, knowledge of baseball, and the ability to communicate findings to coaches, managers, or front-office staff. Working remotely, they collaborate with teams and colleagues through digital communication platforms.

How does a remote MLB data analyst typically collaborate with on-site teams and other departments?

As a Remote MLB Data Analyst, you’ll frequently interact with coaches, scouts, and fellow analysts through virtual meetings, collaborative platforms, and shared databases. Regular communication is key to ensuring data-driven insights are effectively integrated into team strategies. Despite working remotely, you’ll still participate in group discussions, present findings, and coordinate with IT or software departments to streamline data workflows. Building strong digital communication skills and proactively seeking feedback helps bridge the distance and fosters a collaborative team environment.

What are the key skills and qualifications needed to thrive as a remote MLB data analyst, and why are they important?

To thrive as a Remote MLB Data Analyst, you need strong statistical analysis skills, proficiency in baseball analytics, and a background in mathematics, statistics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of data visualization tools such as Tableau are typically required. Excellent communication, problem-solving abilities, and attention to detail help analysts interpret and present complex data effectively to stakeholders. These skills are crucial for generating actionable insights that can inform team decisions and drive competitive advantages in Major League Baseball.

What is the difference between Remote Mlb Data Analyst vs Remote Baseball Data Analyst?

AspectRemote Mlb Data AnalystRemote Baseball Data Analyst
CredentialsBachelor's in Sports Analytics, Data Science, or related field; knowledge of MLB statisticsBachelor's in Sports Analytics, Data Science, or related field; familiarity with baseball metrics
Work EnvironmentRemote, sports analytics companies, MLB teams, or sports mediaRemote, sports analytics companies, baseball organizations, or media outlets
Industry UsagePrimarily in Major League Baseball organizations and sports mediaIn baseball organizations, media, and sports analytics firms

The main difference between a Remote Mlb Data Analyst and a Remote Baseball Data Analyst lies in the specific focus on Major League Baseball in the former. Both roles require similar credentials and work environments, but the Remote Mlb Data Analyst is specifically tailored to MLB teams and organizations, whereas the Remote Baseball Data Analyst may include broader baseball-related roles across various leagues and media outlets.

What cities near Taylor Ridge, IL are hiring for Remote Mlb Data Analyst jobs?

Cities near Taylor Ridge, IL with the most Remote Mlb Data Analyst job openings:

Infographic showing various Remote Mlb Data Analyst job openings in Taylor Ridge, IL as of August 2026, with employment types broken down into 77% Full Time, 6% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $78,733 per year, or $37.9 per hour.

Legal AI Trainer - Remote

micro1 AI

Davenport, IA • Remote

$90 - $150/hr

Part-time

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


Job description

Role Title: Funds Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the funds department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including LPA’s, subscription agreements, and side letters.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.