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 data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals. 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 Agentic AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs. Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment. 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 instructional best practices for adult learners. - Provide subject matter expertise in Agentic AI. - Connect course content to real-world industry applications and professional practices. - Encourage collaboration, critical thinking, and problem-solving within the classroom environment. Student Support & Mentorship - Provide individualized student support during live sessions and scheduled office hours. - Maintain regular communication with students regarding progress, expectations, and milestones. - Respond to student and staff communications in a timely and professional manner. - Provide clear, constructive, and timely feedback on assignments and assessments. Performance Monitoring - Evaluate student progress based on course deliverables and established grading rubrics. - Maintain accurate documentation of student performance and engagement. - Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff. - Support performance improvement plans when necessary. Collaboration & Professional Conduct - Adhere to institutional policies and instructional team standards. - Foster an inclusive, respectful, and professional learning environment. - Serve as a role model and mentor for students. - Collaborate with instructional staff and program teams to improve the student learning experience. - Represent the organization professionally when interacting with students, staff, and external stakeholders. Required Qualifications Education and Experience Applicants must meet one of the following criteria: - Bachelor’s degree in any field AND a minimum of 3 years of professional experience in Agentic AI, OR - 5 years of professional experience in Agentic AI without a bachelor’s degree. Knowledge, Skills, and Abilities - Strong expertise in Agentic AI concepts, frameworks, and tools (e.g., autonomous agents, LLM orchestration, multi-agent systems). - Ability to clearly explain complex technical topics to diverse learners. - Passion for education and mentoring students entering the technology industry. - Strong communication and interpersonal skills. - Ability to work effectively in a remote teaching environment. - Demonstrated professionalism, integrity, and ethical conduct. Work Schedule Part-Time instructors typically work 10–15 hours per week depending on cohort schedules. Current Agentic AI cohorts meet during evening hours: - Monday, Wednesday, and Thursday /Saturday and Sunday - Sessions typically run 7:00 PM – 10:00 PM CST /10:00 AM -2:00PM CST Flexibility for evening availability is required. Compensation The anticipated pay range for this position is $60 per hour, depending on qualifications and experience. This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws. Equal Employment Opportunity We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic 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 rigorous mathematics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for mathematicians open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mathematics or related fields. - 2+ years of professional experience - both applied and research/ teaching are applicable. - Strong written English (C1+). Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. 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 rigorous mathematics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for mathematicians open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mathematics or related fields. - 2+ years of professional experience - both applied and research/ teaching are applicable. - Strong written English (C1+). Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. 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 rigorous mathematics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for mathematicians open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mathematics or related fields. - 2+ years of professional experience - both applied and research/ teaching are applicable. - Strong written English (C1+). Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. 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.