Job Title: Claims Adjuster - Powertrain
Department: Claims Administration
Pay Grade:
$25-$28/hour
Overtime Eligibility:
Non-Exempt
Date:
November, 2025
Job Summary:
The Claims Adjuster - Powertrain plays a critical role in claims. This is a full-time, in-office position based in Richardson, TX or Jacksonville, FL. 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 the cause of failure.
Minimum Qualifications:
Education
High School diploma or equivalency
Experience
1 to 2 years of Claims processing experience
Minimum 3 years of hands-on automotive repair and diagnosis 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 written and verbal 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