Instructor, AI/Machine Learning

Accountabilities Deliver assigned lessons in accordance with established learning objectives, curriculum materials, and session plans. Create a positive, professional, inclusive, and engaging learning environment that supports adult learners. Apply instructional best practices, technology tools, industry examples, and professional experiences to make technical concepts practical and accessible. Facilitate learning activities and exercises that strengthen students' knowledge, technical skills, problem-solving abilities, and collaboration. Maintain regular communication with students regarding progress, expectations, milestones, and areas requiring additional support. Provide individualized assistance during live sessions, office hours, and through timely asynchronous communication. Evaluate student performance and progression against course competencies, deliverables, and established rubrics. Provide constructive, timely feedback and support Performance Action Plans for students who require additional assistance. Encourage student retention and satisfaction by fostering a supportive classroom culture and applying effective interventions and resources. Serve as a professional role model by demonstrating integrity, empathy, professionalism, and strong communication. Collaborate with the broader learning team, seek feedback, and contribute to continuous improvement of the instructional experience.

Requirements

8+ years of professional experience in data science, machine learning, deep learning, or a closely related field. Strong working knowledge of applied data science using Python. Good knowledge of machine learning concepts, methodologies, and practical applications. Good knowledge of deep learning using Keras and TensorFlow. Demonstrated ability to explain complex technical concepts clearly to learners with varying levels of experience. Genuine passion for teaching, mentoring, and helping professionals develop new technical skills. Strong written and verbal communication skills. A professional history demonstrating integrity, empathy, collaboration, and a commitment to student success. Ability to work effectively in a fully remote, synchronous online learning environment. Willingness to commit approximately 8–12 hours per week to teaching and related instructional responsibilities. Availability for scheduled weekday evening or weekend sessions, depending on cohort requirements. Ability to prepare for instructional sessions and support learners outside scheduled teaching time when required.

Benefits

Part-time, fully remote opportunity. Expected compensation of $50–$55 per hour for qualified U.S.-based candidates. Candidates with qualifications exceeding the listed requirements are encouraged to apply, with final compensation based on individual experience and skillset. Flexible teaching structure with weekday and weekend scheduling options. Opportunity to teach synchronous online cohorts and work with adult learners pursuing career advancement. Typical cohorts run approximately 5–7 months, providing continuity and meaningful learner relationships. Opportunity to leverage professional AI, machine learning, and data science experience to develop future technical talent. Prep time is available for eligible scheduled teaching hours, with additional preparation requirements depending on cohort and curriculum updates.

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