STEM Teacher & Coordinator Location: Madrid, primarily in La Moraleja Hours: Approximately 20 paid hours per week, with additional hours available after training Schedule: 12:30 17:30 in person, plus some remote hours Pay: 18 gross per paid hour Start date: October November 2026 preferred
Applicants must be based in Madrid at the time of hire.
About CodingSTEAM CodingSTEAM provides personalised small-group Coding and Robotics classes for children and teenagers in partner schools across Madrid. We are looking for a STEM Teacher to join our team and support both teaching and day-to-day programme coordination.
Responsibilities
Teaching
- Teach Python and Robotics to small groups of approximately 3 4 students
- Adapt lessons to different ages, abilities and levels of experience
- Help students understand, test and debug their own code
- Support students with project-based work and encourage independent problem-solving
- Prepare for sessions and complete brief session notes
- Teach Python topics ranging from programming fundamentals to games, object-oriented programming and larger projects




- Teach Robotics using equipment such as mBot and Edison
- Previous experience with mBot or Edison is not required training will be provided.
- Classes typically last 30 45 minutes and are scheduled and paid as full hourly blocks.
- You will also receive training and shadow another mentor before taking responsibility for your own groups.

Programme Coordination
- Communicate with school contacts regarding schedules and routine teaching arrangements
- Keep student, group and timetable information up to date
- Help manage absences, make-up sessions and schedule changes
- Follow up on equipment or technical issues
- Review session notes and student reports
- Support other mentors

Required Qualifications
- Strong Python fundamentals
- Confidence reading and debugging simple unfamiliar code
- Excellent spoken and written English
- Ability to explain technical concepts clearly to children a

📌 Stem Teacher (Madrid)
🏢 CodingSTEAM
📍 Madrid