Part-Time Knowledge Management Specialist (Education Technology, Flexible Hours)

Company OverviewWe are an AI-driven technology company developing a smart learning platform for students. Our platform uses structured educational content, data and AI-supported learning tools to provide personalised learning support and improve student performance. As part of our product development, we are looking for Part-Time Knowledge Management Specialists to support the organisation, classification and structuring of educational content, with a focus on Primary Mathematics. This role is suitable for candidates who are detail-oriented, comfortable working with digital systems, and interested in education, Mathematics, data or AI-related work. Training and guidelines will be provided. Candidates who are awaiting university admission, currently pursuing further studies, or looking for flexible part-time education-related work are welcome to apply. RequirementsThe ideal candidate should have: • Good Mathematics foundation, preferably familiar with Primary School Mathematics concepts. • Good attention to detail and accuracy. • Basic technical literacy and comfort in using digital tools, spreadsheets or online systems. • Ability to understand and follow structured guidelines. • Good time management and ability to meet deadlines. • Ability to work independently after training is provided. • Responsible working attitude and willingness to learn. Preferred, but Not Mandatory Candidates with the following experience or background will have an added advantage: • Tutoring, teaching, classroom support or education-related experience. • Familiarity with Singapore Primary School Mathematics syllabus. • Experience in content management, data entry, tagging, categorisation or administrative checking work. • Interest in AI, education technology, online learning platforms or structured data work. • Candidates awaiting university admission or currently pursuing further studies are welcome to apply, subject to availability and suitability. Working Arrangement • Part-time role. • Flexible working hours, subject to work requirements and agreed schedule. • Training and internal guidelines will be provided. • Work may involve content review, system input, spreadsheet checking and structured data organisation.