Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational mathematics problems that simulate real mathematical research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; - Base problems on real research challenges or practical applications from mathematical practice; - Verify solutions using Python with standard mathematical libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Mathematics (Pure or Applied) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods and symbolic computation; - Ability to design problems that mirror real mathematical research workflows; - Familiarity with computational complexity theory; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational mathematics problems that simulate real mathematical research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; - Base problems on real research challenges or practical applications from mathematical practice; - Verify solutions using Python with standard mathematical libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Mathematics (Pure or Applied) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods and symbolic computation; - Ability to design problems that mirror real mathematical research workflows; - Familiarity with computational complexity theory; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational mathematics problems that simulate real mathematical research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; - Base problems on real research challenges or practical applications from mathematical practice; - Verify solutions using Python with standard mathematical libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Mathematics (Pure or Applied) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods and symbolic computation; - Ability to design problems that mirror real mathematical research workflows; - Familiarity with computational complexity theory; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Join our dynamic team and make a meaningful impact in the healthcare industry. Enjoy competitive benefits upon hire, ongoing professional development, and the satisfaction of helping others every day. Take the next step in your career with Med-Metrix! Experience these exceptional benefits when you join Med-Metrix! - Day 1 HMO with 2 of your dependents covered for FREE - Group Life Insurance - Medical Cash Allowance - Rice Allowance - Clothing Allowance - Holiday Gift - Bereavement Assistance - Paid Time Off - Training and Staff Development - Employee Engagement Activities - Opportunities for Internal Mobility Job Purpose The Academe Inpatient Medical Coding QA Educator is responsible for elevating coding accuracy and compliance through targeted education driven by QA findings. This role bridges quality assurance and training by designing evidence-based curricula, leading corrective coaching, and monitoring knowledge application across inpatient coders. The Educator ensures alignment with official guidelines (ICD-10-CM/PCS, UHDDS, POA) and payer-specific rules, supports rebuttal resolution, and drives sustained performance improvement reflected in reduced error rates and improved DRG integrity. Key Responsibilities Education Program Design & Delivery - Develop and deliver structured education plans based on QA audit trends (e.g., principal diagnosis selection, MCC/CC capture, PCS root operations, device qualifiers, sequencing rules, POA indicators). - Create modular learning content (micro-lessons, job aids, case-based workshops, checklists, reference packs) for targeted gaps. - Facilitate 1:1 coaching and small group sessions, incorporating live case simulations and retrospective chart reviews. QA Integration & Continuous Improvement - Perform QA reviews on assigned coding samples to ensure accuracy, compliance, and adherence to client-specific guidelines. - Analyze audit outcomes to identify error patterns, contributing factors, and root causes; translate findings into actionable education. - Validate error classification, consistency, and hierarchy application; support rebuttal assessment with evidence-based rationale. - Maintain and update an education backlog tied to high-impact error clusters and payer denials. Compliance & Standards - Ensure all training aligns with ICD-10-CM/PCS Official Guidelines, CMS MS-DRG grouping logic, UHDDS definitions, Coding Clinic guidance, POA reporting, and facility- or payer-specific policies. - Monitor guideline changes and cascade updates, update materials and sessions in a timely manner. Performance Monitoring & Reporting - Define and track education effectiveness metrics (pre/post assessments, error rate deltas, DRG change rates, denial events, audit pass rates). - Publish weekly/monthly dashboards on education outcomes and risk hotspots; present at Ops/QA touchpoints. - Partners with Operations leads to schedule education without disrupting throughput, coordinating follow-ups and reinforcement plans. Stakeholder Collaboration - Work closely with QA Supervisors, Operations Managers, Trainers, and onshore clients to align on expectations, sampling, glidepaths, and timelines. - Contribute to playbook standardization across accounts, support rollout of QA forms, templates, and rebuttal workflows. Required Qualifications - Education: Bachelor’s degree in a health-related field (e.g., Nursing, Allied Health, HIM) or equivalent experience. - Certifications: Must have CCS/CIC certification. - Experience: - Solid 3 years of Inpatient DRG QA experience. - Demonstrated experience designing and delivering coder education based on QA data. Preferred Skills & Competencies - Coding Expertise: Strong command of principal diagnosis selection, MCC/CC capture, PCS approach/device/qualifier logic, sequencing, POA assignment, UHDDS definitions, and DRG validation. - QA & Analytics: Error taxonomy, root cause analysis, sampling strategies, rebuttal review, trend analysis. - Tools: Proficiency with encoder/groupers, EHR/chart review tools, QA dashboards (Excel/Sheets), and documentation platforms (Word/Docs, PPT). - Communication: Clear written and verbal communication; ability to explain complex rules simply; confident facilitation across geographies. - Collaboration & Planning: Stakeholder alignment, change management, time management, and organized follow-through. Key Performance Indicators (KPIs) - Reduction in targeted error rates (e.g., PDx selection, MCC/CC misses, PCS assignment). - Improvement in audit pass rates. - DRG stability/accuracy (fewer inappropriate DRG shifts post-education). - Denial reduction tied to education focus areas. - Education delivery against agreed glidepaths and remediation SLAs. - Positive coder feedback and measurable post-training assessment gains. Working Conditions - Schedule: Standard business hours with flexibility for cross-geo collaboration. - Work Mode: Remote - Data Security: Strict adherence to HIPAA-equivalent privacy and organizational confidentiality policies.