Loner N.

Key Skills

Software

Other

Top Subject Matter

Auto insurance claims QA and AI evaluation

Auto insurance claims quality assurance review

Claims documentation and structured intake

Top Data Types

Text

Document

Top Task Types

Data Collection

Freelancer Overview

AI Claims Evaluation and Quality Analyst (Remote, United States). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes AI Claims Evaluation and Quality Analyst, Remote, United States (2023) and Auto Insurance Claims Reviewer, United States (2023). AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AI Claims Evaluation and Quality Analyst (Remote, United States)

OtherText

Evaluated AI-generated auto insurance claim decisions for coverage accuracy, policy alignment, reasoning quality, payout logic, and compliance risk. Designed FNOL test scenarios with deliberate contradictions and decoy documents to probe model robustness and failure modes. Graded model outputs using structured reason codes and created answer keys with expected outcomes and policy references. • Assessed reasoning for late reporting, recently purchased policy scenarios, inconsistent damage, prior loss indicators, and SIU referral triggers • Produced structured evaluation notes including negligence and recovery likelihood along with calculation notes • Tested robustness via outdated forms, inconsistent timelines, and missing evidence • Documented rubric-based results to support QA auditing and quality consistency

2023 - Present

Auto Insurance Claims Reviewer (United States)

OtherText

Reviewed auto insurance claim files by assessing coverage, liability, damages, supporting documentation, and alignment with internal handling standards. Interpreted policy language against claim facts, including declarations, deductibles, exclusions, endorsements, and loss dates. Identified fraud and escalation indicators and supported subrogation review through negligence percentage and recovery barrier analysis. • Evaluated inconsistencies such as delayed reporting, unusual policy timing, duplicate documents, and conflicting witness statements • Conducted negligence and liability investigations using comparative/contributory negligence and third-party liability reasoning • Analyzed subrogation recovery likelihood using insured statements and available documentation • Performed claims notes and file review to ensure decisions met QA and compliance expectations

2020 - 2023

Claims Support and Documentation Specialist (United States)

OtherDocumentData Collection

Captured and organized first notice of loss (FNOL) details including parties, vehicle information, injury indicators, police reports, and document status. Verified claim documentation for completeness and basic policy fit before escalation to adjusting or review teams. Communicated with claimants, insureds, and vendors while maintaining confidential customer information. • Collected structured claim fields such as dates, locations, involved parties, and evidence readiness • Checked consistency across documents to reduce contradictions and missing-evidence issues • Prepared organized records for downstream review and quality checks • Supported documentation workflows that fed QA and evaluation processes

2018 - 2020

Education

Work History