AI & Learning Research Intern

About the Role

Omrivya is an innovative EdTech platform focused on closing the gap between education and employability for learners worldwide. The organization supports students, professionals, and lifelong learners in developing future-ready skills through online courses, career readiness programs, and industry-oriented training. Omrivya’s mission is to empower individuals to shape their skills and build sustainable, successful careers.

The AI & Learning Research Intern is a full-time remote role responsible for supporting the design and enhancement of Omrivya’s learning experiences through research-driven insights.

Key Responsibilities

• Analyze learner behavior and outcomes.
• Gather and interpret data on course performance.
• Identify opportunities to improve engagement and employability outcomes.
• Collaborate with learning designers, product teams, and subject matter experts.
• Research AI-driven learning methods.
• Recommend content improvements.
• Assist in testing new features or learning interventions.
• Conduct literature reviews on AI in education.
• Prepare research summaries.
• Document findings.
• Contribute to internal reports.
• Support the development of data-informed learning strategies.
• Ensure learning content and programs align with Omrivya’s mission of accessible, impactful upskilling.

Requirements & Tech Stack

• Human Resources (HR) and HR Management skills to support research related to learner development, talent pipelines, and employability outcomes.
• Strong Analytical Skills to interpret learner data, assess program effectiveness, and generate actionable insights for AI-driven learning initiatives.
• Familiarity with Benefits Administration and Human Resources Information Systems (HRIS) to understand how learning and development integrate with broader people systems and structures.
• Strong interest in AI, learning technologies, and EdTech, with the ability to synthesize research on emerging tools and methodologies.
• Effective written and verbal communication skills, including the ability to present complex findings in clear, concise formats.
• Ability to work independently in a remote setting, manage time effectively, and collaborate with cross-functional teams.

Qualifications

• Currently pursuing or having completed a degree in Human Resources, Psychology, Education, Data Science, Business, or a related field is preferred.
• Prior exposure to research methods, data analysis tools, or learning design is an advantage.