Volunteer Online Machine Learning Training Support

IICPSD - UNDP Istanbul International Center for Private Sector in Development

Open positions at IICPSD / Open positions at UNDP
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Application deadline in 11 days: Thursday 8 Oct 2026 at 00:00 UTC

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Contract

This is a UNV contract. More about UNV contracts.

The online volunteers are expected to deliver minimum 8 live lectures(online) on Machine Learning. The materials for Machine Learning are present.

We are recruiting 1 Online Volunteer to deliver live training on Machine Learning and Generative AI course for the Innovation Campus programme under the guidance of the team focal point:

The Online Volunteer will:

  • Review and improve 8 existing SDG AI Lab slide decks which are for training materials for Data Analysis, Modelling, Generative AI, Git & GitHub, Docker, and Deployment.
  • Prepare one pre-recorded demonstration for each topic of the three topics: Data Analysis, Modelling, Generative AIGit & GitHub, Docker, and Deployment, delivered before the corresponding live sessions
  • Deliver 8 live online lectures (one each on Data Analysis, Modelling, Git & GitHub, Docker, and Deployment), Generative AIincluding practical live coding demonstrations.
  • Answer participants' questions during the live sessions.
  • Provide brief documentation summarizing the updates made to the training materials.

Time Allocation (11–15 hours/week) • Preparation & material improvement (reviewing/improving slides, building demos): ~6–8 hrs • Live teaching & coding sessions: ~2–3 hrs • Student support (Q&A, chat, follow-up): ~2–3 hrs • Coordination meetings with SDG AI Lab: ~1 hr Schedule: Evening sessions on weekdays and morning sessions on weekends.

Target Audience

Participants are Innovation Campus students with a beginner technical background (basic programming familiarity, limited prior DevOps exposure). Expected class size is approximately 50 participants. Sessions are conducted in English/Turkish.

-Minimum a senior year student, ideally a Bachelor’s Degree in Computer Science/Engineering or in a relevant field, with strong programming background.

-Teaching experience.

-A high level of proficiency in Data Science

-Knowledge about Python, Machine Learning and Data Science.

-Strong coding skills.

Added 2 days ago - Updated 5 hours ago - Source: unv.org