Veterans Service Representative (Remote)
Straight from micro1’s careers page. Apply on the company site — no recruiter, no middleman.
Role Title: Veterans Service Representative
Role Type: Contractor
Location: Remote
micro1 is engaging Veterans Service Representatives to participate in an innovative customer project. In this role, youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Scope of Work
- Review and analyze AI-generated disability compensation claims, ensuring comprehensive evaluation of evidence and adherence to established regulatory guidelines.
- Assess AI-generated medical documentation and determine its impact on existing disability claims, weighing complex evidence accurately.
- Complete detailed benefit determinations and document rationales with clarity and precision for AI training.
- Conduct quality assurance reviews of AI-generated claims decisions, pinpointing inconsistencies or errors according to VA standards.
- Utilize specialized systems such as VBMS to access, update, and manage claim files and supporting documentation.
- Simulate higher-level review decisions, providing expertise on appeals and supplemental claim processes for AI training.
- Deliver constructive written and verbal feedback to enhance AI model training accuracy and effectiveness.
Preferred Qualifications
- Proven expertise as a Veterans Service Representative or equivalent, with strong experience in benefit determination and evidence gathering.
- Familiarity with GS-0996: Veterans Claims Examining, GS-0105: Social Insurance Administration, or GS-0512: Internal Revenue Agent functions.
- Demonstrated skill evaluating disability compensation and conducting claim ratings in a regulated environment.
- Experience using VBMS or similar claims management platforms.
- Background in quality assurance for claims or similar processes within federal, state, or related agencies.
- Ability to synthesize complex information and present informed decisions for higher-level review processes.
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