The Technical Mentor will support learners in the Content Creation program by facilitating live sessions, providing technical feedback, and guiding them through project submissions. Additionally, the role involves maintaining a daily presence on the community platform to foster collaboration, celebrate learner progress, and organize community events.
The Data Scientist will build and maintain dashboards, reports, and analytics to provide actionable insights across the organization. They will partner with stakeholders to define metrics and ensure data quality while writing production-level SQL and Python code.
The Learning Scientist will guide pedagogical decisions across the AI-driven learning platform and ensure they are grounded in modern learning science. They will also design and evaluate experiments to test core pedagogical assumptions in collaboration with AI engineers and product managers.
The Senior AI/ML Engineer will design and build a competency navigation algorithm for an AI learning platform using probabilistic and Bayesian modelling. They will also develop pipelines to process unstructured data using LLMs and build behavioural profiling models as the data asset grows.
Lead the evolution of the Impact function into a world-class evidence and learning capability to validate ALG's impact claims. Build the trust architecture, design rigorous evaluation agendas, and translate data into actionable insights for donors and leadership.
Lead a team of Learning Experience Designers to create scalable, industry-relevant curricula and high-quality learning programs. Manage design workflows and collaborate with subject matter experts to ensure pedagogical rigour and alignment with strategic goals.
Design and develop learner-centered, scalable educational experiences and curricula in collaboration with subject matter experts. Utilize instructional design frameworks and AI tools to create engaging lessons, assessments, and interactive media.
