United Nations
Job title:
Data support online volunteer
Company
United Nations
Job description
Details:Mission and objectives:The Office of the Special Adviser on Africa is responsible for assisting the Secretary-General in coordinating, integrating and aligning United Nations action on the interlinkages between peace, security, human rights and development in Africa, enhancing international support for Africa’s development and security and facilitating intergovernmental deliberations on Africa at the global level, in particular those relating to the New Partnership for Africa’s Development (NEPAD), which was recently transformed into the African Union Development Agency-NEPAD.Context:Based on the Office’s mandate, vision, and mission, OSAA is strengthening the data capacity for evidence-based decision-making, advocacy, and policy monitoring and evaluation to support Africa’s transformative agenda. To fulfill this mandate of evidence-based decision-making, SMU data is orchestrating a data eco-system in the Microsoft Azure Cloud platform to feed data into various applications, including a Power BI dashboard. The online volunteer is expected to support the SMU Data Unit to improve the existing data-driven eco-system, which pipelines data from various sources to create a data repository for informing decision-making and policy proposals on development issues.Task type:Data processingTask description:We are looking for Online Volunteers to support our organization/project team by assisting us with building AI applications for automated task management. The Online Volunteers will be under the guidance of the Lead of the Strategic Management Unit (SMU) Data Team.1. Data Collection and Cleaning Deliverable
Task Overview: This volunteer will work on preparing a comprehensive and high-quality dataset for analysis by collecting, cleaning, and organizing data from the World Bank, the SDG database, and UNCTAD. This dataset will connect directly to the UNMM BI platform, ensuring data is ready for seamless visualization and analysis.Expected Output:Output Name: InsightHub Unified Dataset
Details: A fully cleaned and organized dataset, formatted as a .csv file, directly connected to the UNMM BI platform. The dataset will be accompanied by a “Data Cleaning Summary Report” (1-2 pages) that documents data sources, cleaning steps, and any data quality issues addressed.
Workload: Approximately 5 hours per week over a 12-week period, with a final submission of the cleaned dataset and summary report by the end of the assignment.2. Data Visualization and Reporting Deliverable
Task Overview: This volunteer will create an interactive report titled “UNMM Insight: Progress and Opportunities”, designed to highlight key data insights relevant to UN OSAA’s strategic goals. Using Flourish or Adobe Suite, this three-page report will feature interactive visualizations and summaries to be published on the UNMM platform.Expected Output:Output Name: UNMM Insight: Progress and Opportunities Report
Details: A three-page interactive report in Flourish or Adobe Suite, featuring three distinct visualizations with interactive elements, narrative explanations, and a “User Guide for Interactivity” (1 page). The report will be available for viewing and interaction on the UNMM platform.
Workload: Estimated at 5 hours per week over a 12-week period, with the final interactive report and user guide due by the end of the assignment.3. Research and Machine Learning Analysis Deliverable
Task Overview: This volunteer will conduct a machine learning analysis on the dataset, focusing on identifying patterns, trends, and strategic insights. The result will be a structured report that highlights the analytical findings and suggests actionable applications for the InsightHub system.Expected Output:Output Name: InsightHub Machine Learning Analysis Report
Details: A detailed, five-page report that documents machine learning methods, key findings, and a section on actionable insights for strategic initiatives. This report will also include a “Summary of Applications” (1 page) that outlines practical applications for the identified insights within InsightHub.
Workload: Approximately 5 hours per week over a 12-week period, with the final report and summary of applications completed by the end of the assignment.4. AI Application Feature Development Deliverable
Task Overview: This volunteer will develop a functional prototype feature using Python and large language models (LLMs) that can be integrated into InsightHub. This feature will be designed for automated data analysis or another targeted functionality, aimed at enhancing InsightHub’s operational efficiency.Expected Output:Output Name: InsightHub AI Analysis Feature Prototype
Details: A working prototype feature coded in Python, utilizing LLMs, with documentation for functionality and a “Prototype User Guide” (1-2 pages). The prototype will undergo initial testing and be ready for integration into InsightHub, enhancing its capacity for automated data analysis.
Workload: Estimated at 5 hours per week over a 12-week period, with the fully documented prototype and user guide due by the end of the assignment.The Online Volunteer/s will have the opportunity to build connections with the SMU at UN OSAA and learn about the ways in which data can support the unit.Requirements:Demonstrated interest and/or experience (up to 3 years) in working with AI models;
Experience in working with APIs;
Familiarity with Python programming and machine learning concepts.
Basic understanding of cloud platforms, preferably Azure.
Eagerness to learn and adapt to new technologies and methodologies.
Strong problem-solving skills and attention to detail.Work Hours: 16-20
Expected salary
Location
USA
Job date
Sat, 01 Mar 2025 07:34:08 GMT
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