Medical Documentation Specialist
Listed on 2026-03-05
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IT/Tech
AI Engineer, Data Analyst
Wisedocs is a fast-growing, venture-backed AI platform that transforms how insurance companies analyze claims. With ~ 20M USD raised, 100+ team members globally, and 90+ customers across North America and Australia, we’re doubling revenue year over year. Founded by experts who’ve experienced the claims process firsthand, Wisedocs combines deep domain knowledge with next‑gen AI trained on 100M+ documents. Our platform turns complex medical records into clear, structured insights—backed by expert human oversight.
Join a mission‑driven team building intelligent products that cut through complexity, accelerate decision‑making, and make a real impact when it matters most.
We are seeking a Medical Documentation Specialist to join our team. This role provides hands‑on experience working with AI systems in a fast‑paced, fast‑growing technology company. You will act as a subject‑matter expert embedded directly into AI workflows, evaluating, correcting, and enhancing AI‑generated medical outputs. You will see first‑hand how human judgment shapes machine learning outcomes and gain direct exposure to how AI products are built, improved, and scaled in a real‑world startup environment alongside our machine learning and engineering teams.
This position supports a U.S. government contract; U.S. citizenship of 3+ years is a prerequisite and a security clearance will be required.
- Review, validate, and improve AI‑generated outputs
- Identify systemic errors, edge cases, and opportunities to improve model performance
- Review and document with strong quality focus, applying clinical experience to extract key information for medical summaries and compare data with source documents to detect clinical or technical errors
- Provide structured feedback to QA and Machine Learning teams on model behavior, error patterns, and data quality issues to influence training and iteration cycles
- Identify recurring data issues or annotation inefficiencies and propose workflow or tooling improvements
- Meet or exceed defined productivity and quality benchmarks in a high‑throughput, AI‑assisted production environment
- Other duties and projects as assigned
- Background in health sciences, clinical documentation, or medical data is valued; demonstrated interest in technology, AI‑enabled workflows, or data‑driven systems is essential
- Comfort working with AI‑generated outputs and a mindset oriented toward leveraging automation to improve speed, consistency, and scale
- Ideal for candidates with health sciences or clinical background seeking to evolve their careers in a more technical direction
- Opportunity for career growth into Quality, AI Operations, or Machine Learning teams for individuals who demonstrate strong performance, technical aptitude, and curiosity
- High comfort working in web‑based tools, annotation platforms, and productivity software
- Strong keyboard proficiency and ability to work efficiently in high‑volume digital environments
- Ability to learn new tools quickly and adapt to evolving AI‑driven workflows
- Basic understanding of how machine learning systems are trained and improved (training provided)
- Experience with data labeling, QA workflows, or structured data review is a plus
- Exceptional grammar, communication and writing skills
- High level of accuracy, attention to detail and ability to exercise flexibility and comfort making judgment calls related to AI outputs
- Ability to balance speed and accuracy in a production environment
- Ability to work independently as well as collaboratively in a team‑oriented environment
- Remote for US‑based employees
- Modern employee benefits including health and dental coverage
- Competitive compensation with valuable stock options
- Opportunity to develop rapidly in your career with a super‑immersive learning environment and potential for senior practitioner or management roles
- Learning and professional development fund to level up your career while working with us
- Company events
- Generous Paid Time Off
- Paid Sick Days
- Casual dress code
- Employee referral bonus
- Tuition assistance
- Many other recognition programs
- Rou…
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