Medical Data Annotator

Wisedocsis a fast-growing, venture-backed AI platform that transformshow insurance companies analyze claims. With ~$20M USD raised, 100+ team members globally, and 90+ customers across North America and Australia,we’redoubling revenue year over year.

Founded by experts who’veexperienced the claims process firsthand,Wisedocscombines 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.

Role Summary
As we continue to grow, we are seekingaMedical Data Annotatorto join our team. This role provides hands-on experience working with AI systems in a fast-paced and 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 and actively seeing first-hand how human judgment shapes machine learning outcomes. As an integral part of our innovative and cutting-edgeenvironment, you will gain direct exposure to how AI products are built, improved, and scaled in a real-world startup environment, working alongside our team of brilliant machine learning and tech engineers.

This position offersa strong foundation for career growthor transition, helping you develop technical fluency, data literacy, and an AI-first mindset. For individualswhodemonstratestrongperformanceand curiosity, this role can serve as astepping stoneinto moretechnicalpaths within AI operations, quality, or machine learning teams.

This position supports a U.S. government contract. Therefore, having U.S. citizenship of 3+ years is a prerequisite for this role, andyouwillberequiredto undergo a security clearance.

Whatyou’llbe doing

• Review,validate, and improve AI-generatedoutputs

• Identify systemic errors, edge cases, and opportunities to improve model performance

• Must be able to review and document with strong quality focusand application of clinical experience to extract key information for medical summariesandcompare 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 directly influence training and iteration cycles

• Identifyrecurring 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

What experience we need

• Background in health sciences, clinical documentation, or medical data is valued; however,demonstratedinterest 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

• This position is ideal for candidates with health sciencesor clinicalbackgroundseekingto evolve their careers in a more technical direction.

• This role serves as an entry point for career growth into more technical roles, including Quality, AI Operations, or Machine Learning teams, for individuals whodemonstratestrong performance, technical aptitude, and curiosity.

Technical& Analytical Skills

• High comfort working in web-based tools, annotation platforms, and productivity software

• Strong keyboardproficiencyand 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 levelof accuracy, attention to detail and ability to exercise flexibility and comfort makingjudgmentcalls 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…