AI/Data Learning Course Design Specialist

Role Summary:

We’re an AI/Data Consulting and Builder company in Thailand, building practical, business-ready solutions. You will design, localize, and launch learning programs that help executives, managers, and frontline teams use data and AI responsibly and effectively. Think: data literacy, analytics fundamentals, applied ML/GenAI, PDPA-aware data practices, and tool-based workflows.

What You’ll Do:

• Own end-to-end course design (needs analysis → curriculum → storyboards → assets → pilot → launch → iteration).
• Translate technical topics (data engineering, BI, ML/GenAI, RAG, prompt design, governance & PDPA) into clear, role-based learning.
• Build multi-format content: slide decks, facilitator guides, learner workbooks, worksheets, scenario sims, short videos/motion, quizzes, and capstone projects.
• Design workshops (30–40% lecture / 60–70% hands-on) using real Thai business scenarios (finance, retail, logistics, manufacturing, public sector).
• Localize global best practices to the Thai context; ensure PDPA alignment and responsible AI guidelines.
• Set up and manage learning on our LMS (SCORM/xAPI), track analytics, drive completion & impact.
• Train internal facilitators; coach client champions to run programs at scale.
• Run A/B tests on content, assessments, and microlearning nudges; iterate using data.
• Partner with Marketing to convert courses into public workshops, webinars, and lead magnets.

Requirements

Must-Have Qualifications:

• 2-3+ years in instructional design/learning experience design (LXD) or corporate training; strong portfolio of technical courses.
• Bilingual: Thai & English (create content in both; comfortable presenting in Thai).
• Proven curriculum design, assessment design, and learning analytics.
• Hands-on with authoring & delivery tools: Articulate 360 (Storyline/Rise), Google Slides/PowerPoint, Camtasia/Captivate, Miro, LMS (e.g., Thinkific).
• Comfort translating data/AI topics with SMEs and Enterprise Clients (analytics, Python notebooks, BI dashboards, GenAI tools).
• Strong project management, stakeholder communication, and facilitation skills.

Nice to Have:

• Basic data/AI literacy (SQL/Python reading level), BI (Power BI/Tableau/Looker), or prompt-engineering familiarity.
• Experience designing for regulated environments (PDPA, model risk governance, AI ethics).
• SCORM/xAPI packaging, learning data pipelines, or GA4/BigQuery for learning analytics.
• Visual design chops (Figma/Canva).
• Brain-science understanding (Neuroscience) for learning.

Benefits

• Hybrid work
• Health insurance
• Annual health check
• Laptop and other equipments
• Free snacks & drinks
• Education allowance
• Performance bonus