We are seeking a highly capable AI Content Creator / AI Clone Specialist to help transform client's decades of medical expertise into high-end, AI-led online courses. This role is not about basic editing or social media posting; it is a specialized position focused on scaling human expertise through digital replication. Full-time: 40 hours per week Remote: Fully remote Engagement Type: Independent Contractor Monthly Rate: $1200-1500 (based on a 40-hour workweek; flexible depending on experience)Key Responsibilities: AI Avatar Management: - Create language-specific AI clones (one specialized clone per target language). - Maintain consistency in tone, authority, and medical credibility across all clones. - Manage the technical quality of the avatar, voice modulation, and delivery for each localization. Course Production: - Convert raw books and lectures into AI-led course videos and educational modules. - Ensure all outputs are accurate, structured, and meet the standards of a premium paid education platform. Localization & Translation: - Support translation workflows for complex medical scripts. - Implement AI voice and video localization to ensure the delivery feels natural in every target language. Role Requirements: - 2+ years of experience in AI clone creation or similar role - Proven, hands-on experience with AI video and avatar tools (Synthesia is highly preferred). - Strong AI prompting skills across text (LLMs), voice (cloning), and video. - Experience working with long-form, knowledge-heavy content. You must be able to digest dense medical information and structure it for video. - High attention to detail and a deep respect for subject-matter accuracy. - Ability to work independently in a remote environment without constant instruction. Recruitment Process: - Initial Interview - Portfolio Review - Client Interview - Offer and Onboarding

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 optics problems that simulate real physics research workflows; - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from optics & physics practice; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for physicians open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - 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 $45 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 optics problems that simulate real physics research workflows; - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from optics & physics practice; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for physicians open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - 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 $45 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 optics problems that simulate real physics research workflows; - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from optics & physics practice; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for physicians open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - 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 $45 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.