Teacher Assistant - Data Analytics + AI (Freelancer)

Description

Job Summary: We are seeking a Teacher Assistant for Data Analytics and Artificial Intelligence to guide and tutor students in a bootcamp, supporting the Lead Teacher and facilitating knowledge transfer. Key Highlights: 1. Support students in Data Analytics and Artificial Intelligence 2. Collaborate with the Lead Teacher and coordinate the course 3. Help develop technical and professional skills **\# About the Role** We are looking for a **Teacher Assistant for Data Analytics and Artificial Intelligence** to support a specialized bootcamp for one of our corporate clients. We seek individuals passionate about data, analytics, and artificial intelligence—people who love helping students build the technical and professional skills needed to succeed in today’s data-driven world. Your day-to-day responsibilities will include: * **Be there for students:** Guide them, tutor their daily work, and help them achieve their goals. * **Collaborate with the Lead Teacher:** Support them with exercises and pre-prepared materials. * **Coordination:** Ensure weekly knowledge transfer between instructors and provide feedback to the team on course progress. **\# What We’re Looking For** * A technical degree or university degree in Computer Science (specializing in Data) and **more than 2 years of experience** as a Data Analyst or Data Scientist. * Prior experience delivering training, teaching, or educational support—ideally with adults or in bootcamp-style environments. * The bootcamp is conducted in **Spanish**, so you must speak it fluently. * Ability to provide support both during live classes and while students work at their own pace. * Strong empathy, patience, communication skills to engage learners—and, of course, a good sense of humor! **\# Conditions and Schedule** * **Dates:** From September 15 to November 4. * **Duration:** 8 weeks total, **80 hours** in total (distributed across 10 hours per week). * **Format:** Part-time. + **Tuesdays and Wednesdays (9:00–13:00):** Live classes. + **Thursdays (9:00–11:00):** Self-paced learning / Mentorship.