Instructor and Teaching Assistant

Praxis Tech

Atlanta (GA)

Presencial

USD 332 100 - 442 800

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Travel expenses covered
Competitive compensation

Resumo da oferta

Praxis Tech's NELIREF Data Science & AI Summer School in Atlanta seeks an experienced instructor to lead sessions on Python programming, machine learning, deep learning, and natural language processing. You will guide students through hands-on Python projects, use Git and GitHub to support collaboration, and explain AI assistants, generative AI, and LLM concepts.

Sessions run June 19–20 and June 26–27, 2026, with two daily blocks: 8:00 AM–12:30 PM and 2:00 PM–5:00 PM (WAT).

Qualificações

  • Proficient in English.
  • Hands-on experience with Python and related data science fields.

Responsabilidades

  • Lead instructor sessions on Python programming, machine learning (supervised and unsupervised), deep learning, and natural language processing.
  • Use Git and GitHub tools to support students.
  • Explain AI assistants, generative‑AI, and LLM concepts.

Conhecimentos

Python programming
Machine Learning
Deep Learning
Natural Language Processing
Git & GitHub

Ferramentas

GitHub

Descrição da oferta de emprego

The role involves leading sessions on various data science and AI topics, including Python programming, machine learning, deep learning, and natural language processing as part of the NELIREF Data Science & AI Summer School.

Responsibilities
  • Lead instructor sessions on Python programming, machine learning (supervised and unsupervised), deep learning, and natural language processing.
  • Use Git and GitHub tools to support students.
  • Explain AI assistants, generative‑AI, and LLM concepts.
Schedule
  • June 19–20 and June 26–27, 2026.
  • Daily sessions: Session 1 8:00 AM – 12:30 PM WAT, Session 2 2:00 PM – 5:00 PM WAT.
Requirements
  • Proficient in English.
  • Hands‑on experience with Python and related data science fields.
Benefits
  • Travel expenses covered.
  • Competitive compensation.
Application

Apply by May 20, 2026. Shortlisted candidates will be invited to interview.

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