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MedChron SME

Filevine · United States · Remote · Deleted · Lever

Job facts

FieldValue
CompanyFilevine
TitleMedChron SME
Normalized title-
Department / teamEngineering / Product
LocationUnited States
Work modelRemote / Remote
Employment typePart Time
Salary-
Statusdeleted
ATS providerLever
Posted / first seen2026-06-08 / 2026-06-09
Changed / last seen2026-06-13 / 2026-06-11

Related slices

PageWhat it containsOpen
Company jobsActive postings from Filevine.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFilevine
Source6bb507db-7889-42c0-b11b-df92580ccd8d
ATS providerLever

Description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: MedChron is evolving from a medical chronology formatter into a cutting-edge Case Intelligence System. We build AI-driven technology that synthesizes complex medical records, flags clinical patterns, detects critical missing documentation, and generates high-stakes case artifacts that trial attorneys stake their reputations on. We don't just process documents; we automate clinical and legal reasoning. To ensure our AI outputs are grounded in reality rather than technical "best guesses," we are embedding deep domain expertise directly into our engineering and product loops. Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy. Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to. What You'll Do: Audit AI Outputs: Review AI-generated medical chronologies, gap signals, and summaries to ensure they match real-world clinical and legal reasoning. Identify Edge Cases: Spot instances where AI outputs are technically coherent but clinically flawed, or where an automated "finding" would be dismissed as noise by an attorney. Annotate Datasets: Review, tag, and annotate real medical records to create gold-standard "ground truth" datasets for pipeline testing. Define Pass/Fail Rubrics: Partner with engineering to establish strict, defensible criteria and grading scales for model performance (evals). Stress-Test Features: Actively "red-team" new model iterations to catch potential errors, hallucinations, and documentation oversights before they ship. Advise Product & Engineering: Serve as an on-demand domain consultant for Product Managers and Engineers to shorten technical iteration loops. Map Billing Nuances: Translate the complexities of Explanation of Benefits (EOBs) versus itemized bills and provider-level gap detection into logical rules for developers. Shape the Feature Roadmap: Provide expert guidance on upcoming high-stakes features, including Missing Documents V2, Treatment Gaps, and automated demand letter artifacts. Refine Topic Taxonomies: Establish the clinical classification rubrics for our "Smart Summaries" feature, ensuring data is organized exactly how practitioners think. What You'll Need: Domain Expertise: 3 to 5+ years of direct, hands-on experience in personal injury case preparation, medical-legal consulting, or clinical documentation review. Professional Background: Background as a Personal Injury Paralegal, Legal Assistant, Nurse Case Manager, Life Care Planner, or Health Information/Billing Specialist. Record Mastery: Deep, expert-level familiarity with reviewing medical records, summarizing treatments, and navigating provider documentation standards. Billing Literacy: Strong understanding of medical billing practices, including itemized statements, EOBs, insurance billing, and CPT codes. Meticulous Precision: An exceptional eye for detail, with the proven ability to spot missing treatment gaps or subtle clinical anomalies that others miss. Cross-Disciplinary Communication: Ability to translate complex medical and legal jargon into clear, logical concepts that software engineers can easily understand. Tech-Fluency: Highly comfortable working with modern digital tools, software platforms, and collaborative, remote project management environments. Sprint Agility: Proven ability to work autonomously and manage time effectively across flexible, sprint-based contract cycles. AI Curiosity: A strong interest in legal-tech innovation and a desire to help shape how AI safely automates complex reasoning tasks. Additional Details: Flexible, Part-Time Contract: Structured around product sprint cycles (e.g., dedicated blocks of hours for dataset annotation and feature review). Hours: Anticipated 20-30 hours per week to start, with potential to scale as our feature roadmap expands. Compensation: Competitive hourly/contract rate commensurate with experience.

Full job record

Job IDf512acc069c40033ba6d375ec51e6157d44bea22
Org IDcda0cda5-bf36-4c6c-8c17-6f59758558b2
Source ID6bb507db-7889-42c0-b11b-df92580ccd8d
Board ID6bb507db-7889-42c0-b11b-df92580ccd8d
Providerlever
Provider Job Keyf4bbb273-e769-4cbd-afdf-5e9ce277f552
TitleMedChron SME
Normalized Title
Statusdeleted
Activeno
Location TextUnited States
DepartmentEngineering
TeamProduct
Employment TypePart-time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/filevine/f4bbb273-e769-4cbd-afdf-5e9ce277f552
Apply URLhttps://jobs.lever.co/filevine/f4bbb273-e769-4cbd-afdf-5e9ce277f552/apply
First Seen At2026-06-09 07:56:16Z
Last Seen At2026-06-11 07:56:38Z
Last Checked At2026-06-13 07:56:25Z
Last Changed At2026-06-13 07:56:25Z
Inactive At2026-06-13 07:56:25Z
Source Posted At2026-06-08 14:25:13Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=filevine/date=2026-06-11/2026-06-11T07-56-37-849Z-e63c3656ac67dd7a00b16e74ab04843cd0395d6b686d58cff556b7a090cc60a3.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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      "text": "What You'll Do:",
      "content": "<div>\n\n<li>\n<p><strong>Audit AI Outputs:</strong> Review AI-generated medical chronologies, gap signals, and summaries to ensure they match real-world clinical and legal reasoning.</p>\n</li>\n<li>\n<p><strong>Identify Edge Cases:</strong> Spot instances where AI outputs are technically coherent but clinically flawed, or where an automated \"finding\" would be dismissed as noise by an attorney.</p>\n</li>\n<li>\n<p><strong>Annotate Datasets:</strong> Review, tag, and annotate real medical records to create gold-standard \"ground truth\" datasets for pipeline testing.</p>\n</li>\n<li>\n<p><strong>Define Pass/Fail Rubrics:</strong> Partner with engineering to establish strict, defensible criteria and grading scales for model performance (evals).</p>\n</li>\n<li>\n<p><strong>Stress-Test Features:</strong> Actively \"red-team\" new model iterations to catch potential errors, hallucinations, and documentation oversights before they ship.</p>\n</li>\n<li>\n<p><strong>Advise Product &amp; Engineering:</strong> Serve as an on-demand domain consultant for Product Managers and Engineers to shorten technical iteration loops.</p>\n</li>\n<li>\n<p><strong>Map Billing Nuances:</strong> Translate the complexities of Explanation of Benefits (EOBs) versus itemized bills and provider-level gap detection into logical rules for developers.</p>\n</li>\n<li>\n<p><strong>Shape the Feature Roadmap:</strong> Provide expert guidance on upcoming high-stakes features, including Missing Documents V2, Treatment Gaps, and automated demand letter artifacts.</p>\n</li>\n<li>\n<p><strong>Refine Topic Taxonomies:</strong> Establish the clinical classification rubrics for our \"Smart Summaries\" feature, ensuring data is organized exactly how practitioners think.</p>\n</li>\n\n</div>"
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    {
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