About The Position

Join the SMILE research team to support the design, testing, and dissemination of SMILE learning exercises and to assist with qualitative/quantitative data collection for evaluating student and stakeholder experiences. Undergraduate research assistants will contribute to developing educational materials, coordinating interviews and focus groups, producing high-quality research documentation (e.g., notes and transcripts), and sharing project outcomes through professional communication channels, including conferences and academic/professional social media/website. This role provides hands-on experience with research operations, qualitative methods, and educational innovation using AI and Large Language Models, with opportunities to build practical skills in study coordination, content development, and applied analysis.

Requirements

  • Currently enrolled as an undergraduate student (any relevant major; examples: Information Sciences & Technology, Social Sciences, Education, Human-Centered Design, Communications, Computer Science, or related fields).
  • Strong writing and communication skills, with attention to detail (e.g., accurate note-taking, clear documentation).
  • Reliability and professionalism in scheduling and research support (timely follow-ups, meeting deadlines).
  • Comfortable learning new tools and workflows (e.g., shared documents, scheduling tools, basic web platforms, statistical analysis).
  • Creativity and independent work abilities.
  • Two-to three-year commitment to the projects.

Responsibilities

  • Support the design, testing, and dissemination of SMILE learning exercises
  • Assist with qualitative/quantitative data collection for evaluating student and stakeholder experiences
  • Contribute to developing educational materials
  • Coordinate interviews and focus groups
  • Produce high-quality research documentation (e.g., notes and transcripts)
  • Share project outcomes through professional communication channels, including conferences and academic/professional social media/website

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Part-time

Career Level

Intern

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service