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 and teenagers

Good organisation and atte

📌 STEM Teacher (Madrid)
🏢 CodingSTEAM
📍 Madrid