Ancillary Claims Adjuster

Job Title: Ancillary Claims Adjuster

Department: Claims Administration

Pay Grade

Choose Pay Grade

Overtime Eligibility

Non-Exempt

Date

November, 2025

Job Summary

The Ancillary Claims Adjusters plays a critical role in claims. This is a full-time, in-office position based in Richardson, TX. As a Claims Adjuster in our Claims Administration Department, you will be part of a special team that plays a critical role in our claims process. In this role you will work with customers, vehicle inspectors and repair facilities to determine claim eligibility.

Minimum Qualifications

Education

High School diploma or equivalency

Experience

1 to 2 years of Claims processing or call center experience

Licensure, Certification, and/or Registration

Current or previous ASE Certification preferred

Supervision Exercised

☐ Direct ☒ Indirect ☐ N/A

Typical Positions Supervised

N/A

Primary Job Functions

• Verify information set-up on claims, to determine if the customer's complaint, the diagnosis, the failed parts are documented and justified the approved repair.
• Verify repair costs are performed within industry standards.
• Verify repair information to determine if coverage was within the limits of the service contract.
• Interface with customers, agents, dealers to complete all investigations of claims.
• Complete a fair settlement of the claim.
• Contribute to team effort by accomplishing related results as needed.
• Verify claims are processed following the policy and procedure established by Smart Autocare
  
  

Periodic Job Functions

• Participate in any projects, reports, documentation, tasks or objectives assigned
  
  

Skills & Competencies Required

• Spanish fluency/Bilingual a plus
• Parts and Labor Guide familiarity.
• Intermediate knowledge of Windows-based computer programs.
• Exceptional customer service and communication skills.
• Ability to read, analyze and interpret general business correspondence or technical procedures.
• Ability to solve practical problems and deal with a variety of concrete variables in situations where limited standardization exists