Mentor (Artificial Intelligence)

Sapiente Education is headquartered in Dubai, UAE. This is a fully remote role, open to applicants internationally. You should be available for student sessions across time zones and able to maintain some agreed overlap with Dubai working hours (UTC+4) for team coordination.

Our story

Sapiente Education helps ambitious young people aged 13–23 turn curiosity into original research, guided by our faculty of mentors from Cambridge, Oxford, Harvard, MIT and other leading institutions.

Inspired by the Oxbridge tutorial tradition, our personalised programmes span 30+ subjects including AI, medicine, philosophy and business. Students develop meaningful projects, sharpen their thinking and build confidence in their own ideas.

Discover Sapiente Education

About the role

We are seeking experienced mentors in Artificial Intelligence to deliver personalised one-to-one mentorship to highly motivated students aged 13–23.

The role is suited to researchers, postdoctoral researchers, university lecturers, professors and other academics with a strong research background in artificial intelligence, machine learning, computer science or related disciplines. You will guide students through theoretical concepts, practical experimentation and research-focused learning, adapting the depth and pace to their mathematical knowledge, programming experience and goals.

Projects may explore machine learning, deep learning, computer vision, natural language processing, generative AI, reinforcement learning, robotics or responsible AI. Students are matched to mentors according to subject expertise; you are not expected to cover every area.

You will help students formulate meaningful research questions and design projects that are achievable with the time, data and computing resources available. The emphasis is on developing students' understanding, independent reasoning and ability to evaluate evidence.

Some programmes support students in preparing research projects for submission to suitable student or entry-level academic journals. Any authorship or acknowledgement on resulting work should reflect actual contributions and the relevant journal's requirements.

Key responsibilities

• Deliver engaging one-to-one mentorship sessions remotely.
• Help students refine their research interests and develop ambitious, feasible project ideas.
• Guide critical reading of research papers, experimental design and the selection of appropriate methods and datasets.
• Support students in implementing models, establishing meaningful baselines and evaluating results with suitable metrics.
• Encourage reproducible experiments, clear documentation and careful interpretation of findings and limitations.
• Discuss data quality, bias, privacy and responsible use of AI where relevant to the project.
• Provide constructive feedback on code, academic writing, technical communication and analytical reasoning.
• Encourage intellectual independence and rigorous academic standards, helping students develop and understand their own work.
• Collaborate with research assistants and Sapiente's programme team where required.
• Record sessions where required, with appropriate consent and in line with Sapiente's recording arrangements, so students can revisit material and the team can review teaching quality.
• Maintain reliable communication, agreed session commitments and professional mentorship standards.

Required

• Current or previous academic or research affiliation with a leading university or research institution, such as Oxford, Cambridge, Harvard or MIT.
• A strong research, publication or academic track record in artificial intelligence, machine learning, computer science or a closely related discipline.
• Relevant experience in university research, academic teaching, experimental machine learning or scholarly publication.
• Proficiency in Python and practical experience with research tools appropriate to your specialism, such as PyTorch, TensorFlow or scikit-learn.
• A sound understanding of machine learning fundamentals, statistical reasoning and experimental evaluation.
• The ability to lead intellectually engaging discussions with motivated students aged 13–23 and adapt guidance to their level of experience.
• Excellent communication and mentorship skills, including clear written and spoken English.
• The ability to explain complex mathematical and computational concepts clearly while maintaining academic depth.
• Strong organisation, professionalism and attention to detail.
• An interest in developing students' research skills and intellectual confidence.
• A reliable computer, stable internet connection and a quiet, professional environment for online sessions.

What we offer

• Opportunities to contribute as a co-author to research publications, subject to a substantive contribution, prior agreement with the original authors and the relevant journal's authorship requirements.
• Opportunities to attend private Sapiente Education events, subject to invitation and availability. Examples include gatherings at the Embassy of Italy in London and the Italian Parliament, and VIP gala dinners.
• Fully remote mentorship, with sessions scheduled by agreement around student and mentor availability.
• A flexible contract structure with hourly remuneration.
• The opportunity to mentor ambitious students and help them develop meaningful research projects.
• Collaboration with an international academic community.
• Administrative and scheduling support from Sapiente's programme and operations team.
• Potential for ongoing collaboration, based on performance, consistency and programme needs.

How to apply

Email an updated CV and a brief description of your profile to [email protected].

Email subject: Application - Mentor (Artificial Intelligence)

Please include your current or previous university or research affiliation, relevant degrees, areas of expertise, and experience in research, publication, teaching or mentorship. Include links to relevant publications, research projects, code repositories or an academic profile, along with your country, time zone and availability for student sessions and team coordination.