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.

Job Description – Part-Time Instructor, Anthropic Claude About Us Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills such as AI systems, prompt engineering, cloud computing, and more that are transforming the global economy. Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with top US universities to grow internationally. Position Overview The Part-Time Instructor for Anthropic Claude (AI Systems & Applications) plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs. Instructors facilitate curriculum content focused on Claude-based AI workflows, prompt engineering, and real-world applications, support student learning, and connect technical concepts to industry use cases. Classes are delivered 100% online in a synchronous format. Key Responsibilities Instruction & Student Engagement - Deliver assigned lessons aligned with curriculum learning objectives and session plans - Facilitate engaging live online instruction using best practices for adult learners - Provide subject matter expertise in Anthropic Claude and applied AI systems - Teach prompt engineering, AI-assisted workflows, and LLM-based application use cases - Connect course content to real-world applications such as automation, copilots, and business use cases - Encourage collaboration, critical thinking, and problem-solving Student Support & Mentorship - Provide individualized student support during live sessions and office hours - Maintain regular communication regarding progress and milestones - Respond to student and staff communications professionally and promptly - Provide clear, constructive feedback on assignments and projects Performance Monitoring - Evaluate student progress based on deliverables and rubrics - Maintain accurate documentation of student engagement and performance - Identify and escalate academic concerns - Support performance improvement plans when necessary Collaboration & Professional Conduct - Adhere to institutional policies and instructional standards - Foster an inclusive and respectful learning environment - Serve as a mentor and role model - Collaborate with instructional teams to improve learning experiences - Represent the organization professionally Required Qualifications Education and Experience Applicants must meet one of the following: - Bachelor’s degree in any field AND 6+ years of experience in AI systems, LLMs, or applied AI, OR - 6+ years of professional experience in AI systems, LLM applications, or related fields Knowledge, Skills, and Abilities - Strong expertise in Claude, prompt engineering, and LLM-based applications - Understanding of AI workflows, automation, and real-world use cases - Ability to explain complex concepts clearly to diverse learners - Passion for teaching and mentoring - Strong communication and interpersonal skills - Ability to work effectively in a remote environment - Professionalism and ethical conduct Work Schedule - 16–40 hours per week Compensation - $80 per hour (Including Content creation) - Part-Time, Non-Exempt classification - Paid in accordance with applicable wage laws Equal Employment Opportunity We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to protected characteristics under applicable law. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

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 $35 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.