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Remote Risk Adjustment Provider Educator Jobs in Avon, IN

Your work will directly improve how these systems identify risk and interpret contract language to ... Review and assess AI responses to contract scenarios, providing expert feedback to improve model ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Review and assess AI responses to contract scenarios, providing expert feedback to improve model ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Review and assess AI responses to contract scenarios, providing expert feedback to improve model ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Review and assess AI responses to contract scenarios, providing expert feedback to improve model ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Review and assess AI responses to contract scenarios, providing expert feedback to improve model ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Review and assess AI responses to contract scenarios, providing expert feedback to improve model ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Review and assess AI responses to contract scenarios, providing expert feedback to improve model ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Review and assess AI responses to contract scenarios, providing expert feedback to improve model ...

Provide regular reporting to the Preconstruction leadership and other Executive team members as ... Remote Qualifications: Education and Work Experience Requirements: * Associates or Bachelor ...

Provide regular reporting to the Preconstruction leadership and other Executive team members as ... Remote Qualifications: Education and Work Experience Requirements: * Associates or Bachelor ...

Showing results 41-60

Remote Risk Adjustment Provider Educator information

See Avon, IN salary details

$18

$42

$65

How much do remote risk adjustment provider educator jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote risk adjustment provider educator in Avon, IN is $42.15, according to ZipRecruiter salary data. Most workers in this role earn between $32.26 and $50.24 per hour, depending on experience, location, and employer.

What is the difference between Remote Risk Adjustment Provider Educator vs Remote Risk Adjustment Analyst?

AspectRemote Risk Adjustment Provider EducatorRemote Risk Adjustment Analyst
CredentialsCertifications in risk adjustment, healthcare coding, or related fieldsCertifications in data analysis, healthcare analytics, or coding
Work EnvironmentRemote, educational, training-focusedRemote, data analysis, reporting
Employer & IndustryHealth plans, healthcare providers, education companiesHealth plans, analytics firms, healthcare organizations

The Remote Risk Adjustment Provider Educator primarily focuses on training healthcare providers and staff on risk adjustment processes, requiring educational skills and certifications. In contrast, the Remote Risk Adjustment Analyst analyzes data to identify trends and improve risk scores. Both roles are remote and industry-specific but differ in their core functions and skill sets.

What job categories do people searching Remote Risk Adjustment Provider Educator jobs in Avon, IN look for?

The top searched job categories for Remote Risk Adjustment Provider Educator jobs in Avon, IN are:

Private Funds Attorney - Remote

Indianapolis, IN • Remote

micro1 AI
Software Development • 11 - 50 employees

$90 - $150/hr

Part-time

This job post has expired 1 day ago. 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.