
Artificial Intelligence • Healthcare • Finance
Mentis AI is redefining how artificial intelligence learns in the fields of healthcare, finance, and law by engaging experts in a remote, flexible work environment. It provides opportunities for professionals from various sectors, including oncology, investment banking, and legal consulting, to contribute their expertise to AI training and development. The platform emphasizes quality and confidentiality while offering competitive compensation for the work of its contributors.
1 - 10 employees
🤖 Artificial Intelligence
💸 Finance
November 4
🇬🇧 United Kingdom – Remote
⏳ Contract/Temporary
🟢 Junior
🤖 Artificial Intelligence
🚫👨🎓 No degree required

Artificial Intelligence • Healthcare • Finance
Mentis AI is redefining how artificial intelligence learns in the fields of healthcare, finance, and law by engaging experts in a remote, flexible work environment. It provides opportunities for professionals from various sectors, including oncology, investment banking, and legal consulting, to contribute their expertise to AI training and development. The platform emphasizes quality and confidentiality while offering competitive compensation for the work of its contributors.
1 - 10 employees
🤖 Artificial Intelligence
💸 Finance
• Questionnaire Coding & Mapping: Map each patient questionnaire item (5–15+ per questionnaire) to SNOMED codes, including medications, conditions, allergies, reactions, side effects, and severity indicators. • Quality Assurance & Data Structuring: Ensure consistent and accurate application of medical codes following provided guidelines and project standards. • FHIR Data Integration: Support mapping of coded data to FHIR-compliant structures (training and guidance provided). • Platform-Based Labeling: Use a dedicated labeling platform to review, code, and validate data efficiently. • Feedback & Collaboration: Provide feedback to improve coding guidelines, identify ambiguities in source data, and improve AI-assisted mappings.
• Medical coding experience: Minimum 1 year of professional experience in medical coding. • Coding knowledge: Demonstrated experience in SNOMED coding; if not, a strong grasp of standard medical coding systems (ICD, CPT, LOINC, etc.) and principles is required. • Attention to detail: Proven track record of accuracy and consistency in clinical data coding. • Technical proficiency: Comfortable using structured data labeling tools and digital platforms. • Language: Professional working English proficiency for written deliverables.
• Flexible Work Arrangements: Short-term, fully remote project (estimated duration 1–2 months). • Competitive Compensation: Hourly rate paid out weekly. • Collaborative Environment: Be part of a multidisciplinary initiative advancing automation in clinical coding.
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