Online Volunteer - Machine Learning Training Support
Job Description
Job Posting Organization:
The Istanbul International Center for Private Sector in Development (IICPSD) was established in 2011 in partnership with the Government of Turkey. It is one of UNDP's six Global Policy Centres and aims to support the private sector and foundations in becoming transformative partners in development. The organization focuses on research, advocacy for inclusive business, public-private dialogue facilitation, and partnership brokering. IICPSD leads UNDP’s global work on private sector engagement and supports UNDP offices worldwide. The Center operates in four thematic areas: Inclusive Business, Private Sector Engagement in Skills Development, Impact Investing, and Resilience and Crisis Response. Additionally, it hosts four global initiatives: Business Call to Action, SDG Philanthropy Platform, Global Islamic Finance and Impact Investing Platform, and Connecting Business Initiative.
Job Overview:
The position involves delivering live training on Machine Learning and Generative AI as part of the Innovation Campus programme. The Online Volunteer will be responsible for reviewing and improving existing training materials, preparing pre-recorded demonstrations, and conducting live lectures. The role requires a commitment of approximately 11-15 hours per week, with a focus on engaging with participants who have a beginner technical background. The sessions will be conducted in English and Turkish, targeting approximately 50 participants who are students of the Innovation Campus.
Duties and Responsibilities:
The Online Volunteer will have several key responsibilities, including:
Required Qualifications:
Candidates should possess a strong understanding of Machine Learning concepts and practical experience in delivering training or lectures. Familiarity with tools such as Git & GitHub, Docker, and Deployment processes is essential. The ability to communicate complex technical concepts in an accessible manner is crucial for this role. Additionally, candidates should be comfortable with live coding demonstrations and engaging with a diverse audience.
Educational Background:
A background in Computer Science, Data Science, or a related field is preferred. Candidates should have completed relevant coursework or training in Machine Learning and Generative AI, demonstrating both theoretical knowledge and practical skills in these areas.
Experience:
Candidates should have prior experience in teaching or training, particularly in technical subjects such as Machine Learning or programming. Experience with online teaching platforms and tools is advantageous, as is familiarity with the specific topics being covered in the training sessions.
Languages:
Fluency in English is mandatory, as the sessions will be conducted in English. Proficiency in Turkish is also required to effectively communicate with participants. Additional language skills may be beneficial but are not mandatory.
Additional Notes:
The position is part-time, with an expected commitment of 11-15 hours per week. The training sessions will be scheduled for evenings on weekdays and mornings on weekends. The role is open to both national and international candidates, and it is a volunteer position without compensation.
The Istanbul International Center for Private Sector in Development (IICPSD) was established in 2011 in partnership with the Government of Turkey. It is one of UNDP's six Global Policy Centres and aims to support the private sector and foundations in becoming transformative partners in development. The organization focuses on research, advocacy for inclusive business, public-private dialogue facilitation, and partnership brokering. IICPSD leads UNDP’s global work on private sector engagement and supports UNDP offices worldwide. The Center operates in four thematic areas: Inclusive Business, Private Sector Engagement in Skills Development, Impact Investing, and Resilience and Crisis Response. Additionally, it hosts four global initiatives: Business Call to Action, SDG Philanthropy Platform, Global Islamic Finance and Impact Investing Platform, and Connecting Business Initiative.
Job Overview:
The position involves delivering live training on Machine Learning and Generative AI as part of the Innovation Campus programme. The Online Volunteer will be responsible for reviewing and improving existing training materials, preparing pre-recorded demonstrations, and conducting live lectures. The role requires a commitment of approximately 11-15 hours per week, with a focus on engaging with participants who have a beginner technical background. The sessions will be conducted in English and Turkish, targeting approximately 50 participants who are students of the Innovation Campus.
Duties and Responsibilities:
The Online Volunteer will have several key responsibilities, including:
- Reviewing and improving 8 existing SDG AI Lab slide decks related to Data Analysis, Modelling, Generative AI, Git & GitHub, Docker, and Deployment.
- Preparing one pre-recorded demonstration for each of the three topics: Data Analysis, Modelling, and Generative AI, to be delivered before the corresponding live sessions.
- Delivering 8 live online lectures, one for each topic, which will include practical live coding demonstrations.
- Answering participants' questions during the live sessions to facilitate understanding and engagement.
- Providing brief documentation summarizing the updates made to the training materials to ensure clarity and continuity in the training process.
Required Qualifications:
Candidates should possess a strong understanding of Machine Learning concepts and practical experience in delivering training or lectures. Familiarity with tools such as Git & GitHub, Docker, and Deployment processes is essential. The ability to communicate complex technical concepts in an accessible manner is crucial for this role. Additionally, candidates should be comfortable with live coding demonstrations and engaging with a diverse audience.
Educational Background:
A background in Computer Science, Data Science, or a related field is preferred. Candidates should have completed relevant coursework or training in Machine Learning and Generative AI, demonstrating both theoretical knowledge and practical skills in these areas.
Experience:
Candidates should have prior experience in teaching or training, particularly in technical subjects such as Machine Learning or programming. Experience with online teaching platforms and tools is advantageous, as is familiarity with the specific topics being covered in the training sessions.
Languages:
Fluency in English is mandatory, as the sessions will be conducted in English. Proficiency in Turkish is also required to effectively communicate with participants. Additional language skills may be beneficial but are not mandatory.
Additional Notes:
The position is part-time, with an expected commitment of 11-15 hours per week. The training sessions will be scheduled for evenings on weekdays and mornings on weekends. The role is open to both national and international candidates, and it is a volunteer position without compensation.
Info
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We are not liable for any decisions or actions taken by applicants in response to this job listing. By applying, you agree that all application processes, interviews, and potential job offers are managed exclusively by the listed employer or organization.
Beware of fraudulent job offers. Do not provide sensitive personal information or make any payments to secure a job.