Online AI/ML Mentor Needed Urgently
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted2 hours ago
A two-month, fully online AI and Machine Learning bootcamp begins this November and continues through December 2026, and I need a seasoned mentor to steer a cohort of more than sixty students who are already comfortable with Python and eager to dive into real projects. Your job is to transform their enthusiasm into demonstrable skill.
The curriculum must move quickly from data preparation and model evaluation into deep learning, neural-network driven computer vision, and finish with generative AI, large language models, and practical AI applications. I expect you to anchor every concept in code, showcase industry examples, and guide the class through hands-on assignments they can expand into portfolio-ready work.
Live teaching is at the heart of the program, so you will stream interactive sessions, field questions in real time, and host separate doubt-clearing hours to keep everyone on track. Because the entire course is remote, clear slide decks, well-documented notebooks (Jupyter/PyTorch/TensorFlow), and a structured learning path are mandatory.
Deliverables I will review:
• Weekly lesson plans and slide decks before each Monday session
• Three in-depth demonstration notebooks that students can reuse
• Two graded capstone projects (one classical ML, one generative AI) with rubrics
• Short weekly feedback reports highlighting student progress and pain points
Compensation is set at ₹300 – ₹500 per student and is open to adjustment for extraordinary expertise or a particularly strong course design. If you have the teaching presence, technical depth, and the energy to keep a large online class engaged, let’s talk about scheduling and finer details right away.
The curriculum must move quickly from data preparation and model evaluation into deep learning, neural-network driven computer vision, and finish with generative AI, large language models, and practical AI applications. I expect you to anchor every concept in code, showcase industry examples, and guide the class through hands-on assignments they can expand into portfolio-ready work.
Live teaching is at the heart of the program, so you will stream interactive sessions, field questions in real time, and host separate doubt-clearing hours to keep everyone on track. Because the entire course is remote, clear slide decks, well-documented notebooks (Jupyter/PyTorch/TensorFlow), and a structured learning path are mandatory.
Deliverables I will review:
• Weekly lesson plans and slide decks before each Monday session
• Three in-depth demonstration notebooks that students can reuse
• Two graded capstone projects (one classical ML, one generative AI) with rubrics
• Short weekly feedback reports highlighting student progress and pain points
Compensation is set at ₹300 – ₹500 per student and is open to adjustment for extraordinary expertise or a particularly strong course design. If you have the teaching presence, technical depth, and the energy to keep a large online class engaged, let’s talk about scheduling and finer details right away.
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