Accountabilities
Deliver live lectures, workshops, and practical assignments focused on machine learning and artificial intelligence concepts.
Review, adapt, and contribute to the development of course materials, including lectures, assignments, LMS content, and Jupyter Notebook-based exercises.
Design effective learning experiences that combine technical depth with practical application.
Provide code reviews, technical guidance, and feedback to students throughout the training program.
Support learners by answering questions and addressing their technical challenges through online collaboration tools such as Slack and Zoom.
Monitor student progress, identify learning gaps, and provide personalized feedback to improve outcomes.
Continuously update curriculum content based on student feedback, industry developments, and evolving AI practices.
Collaborate with mentors, program coordinators, and internal teams to ensure successful delivery of the training program.
Contribute to building a high-quality AI education experience that prepares students for real-world machine learning roles.
Requirements
Strong technical background in mathematics, programming, and machine learning.
Hands-on experience applying AI and ML techniques to solve real-world problems.
Advanced proficiency with Python-based machine learning tools and libraries, including NumPy, Pandas, and Scikit-learn.
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Knowledge of deployment technologies such as Docker and cloud environments including AWS or similar platforms.
Familiarity with data science tools, workflow platforms, and databases, including technologies such as Airflow and SQL.
Strong interest in teaching, mentoring, and supporting student growth.
Excellent written and verbal communication skills in English.
Ability to explain complex technical concepts clearly to different audiences.
Nice to have:
Bachelor’s, Master’s, PhD, or equivalent professional experience in computer science, computer engineering, machine learning, data science, or a related field.
Previous experience as an instructor, lecturer, mentor, or educator in AI, machine learning, data science, robotics, or similar technical areas.
Experience designing educational programs, updating curricula, and evaluating learner performance.
Experience balancing technical expertise with an engaging and supportive teaching approach.
Benefits
Fully remote working environment with flexibility and autonomy.
Opportunity to make a meaningful impact by helping develop future AI and machine learning professionals.
Chance to contribute to an accelerated, practical learning program focused on real-world skills.
Collaboration with an international team working at the forefront of AI education.
Flexible schedule with an estimated commitment of approximately 8 hours per week during active training periods.
Opportunity to share expertise, expand teaching experience, and influence the next generation of AI talent.
Supportive environment focused on innovation, learning, and professional growth.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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