The ETS® AI Labs™ work drives the innovation and development of teaching and learning technologies that are grounded in research and powered by next-generation AI. The Labs are dedicated to working closely with end-users to uncover real-world needs, and co-designing and prototyping solutions to meet those needs. Our staff is made up of scientists (impact research, learning and data), software developers, engineers (AI and research), user experience researchers and designers, instructional designers, scrum coordinators, and product owners.
If you’re accepted into the ETS AI Labs summer program, you’ll participate in user needs, discovery and exploration, solution ideation and validation, capability and prototype development, iterative user validation and data-driven solution optimization.
We work in agile development teams to apply the best of foundational learning and cognitive science to the design, development and testing of solutions to meet educator and learner needs. Upon the completion of the program, you’ll have the opportunity to present your findings to teams across R&D.
You’ll conduct user-inspired research and development leading to the production of technology enhanced learning solutions. Depending on which project you are selected for, you may participate in any number of research and development activities, such as:
You will create and give presentations about your project at the end of the internship period.
You’d be a great fit for this program if you have interest and expertise in the following:
In a given year, you may apply to only one of the RMS, ETS AI Labs or NAEP internship programs. Please apply to the internship program that best fits with your qualifications and research interests.
The main criteria for selection will be the match of your interests and experience with the focus of the Labs.
ETS affirmative action goals will be considered. The ETS AI Labs value building teams of individuals from diverse backgrounds and with diverse experiences. We strongly encourage students from underrepresented groups and backgrounds to apply. Late or incomplete applications will not be considered.
Complete the electronic application form. On the application form:
The Labs aim to advance educational and employment opportunity by providing tools and services that help individuals worldwide identify, efficiently progress toward, and meet their learning and career goals.
Labs teams leverage NLP and AI capability to deliver personalized solutions to educators and learners in the K–12, higher education and workforce spaces. The solutions we develop enable efficiencies, flexibility and actionable insights.
The AI Research Lab teams are agile and change with data-driven learning, as well as corporate strategies. Our teams primarily focus on:
Our teams construct automated environments that enable targeted learning pathways, individualized supports for learners, and coursewide recommendations for educators. The teams develop adaptation capabilities based on rigorous models and actionable insights to support decision making among learners and educators.
If you have a background in data science, learning science, cognitive science, instructional design, user experience research and design, or software development, you’ll benefit from an internship on one of these teams.
The automated scoring teams develop capabilities that enable automation in scoring of language assessments; learning and tool development; and engines that support recommendations and interventions. These teams prioritize responsible application of AI and expand on our AI scoring thought leadership in adjacent areas.
If you have a background in data science, computer science, natural language processing, machine learning and/or deep learning, you’ll benefit from an internship in the AI Research Lab.
Our agile teams develop prototypes to support the establishment of an ecosystem of interconnected language learning and assessment systems that provide personalized and ongoing support for language learners domestically and throughout the world.
Students with a background in data science, learning science, cognitive science, linguistics, software engineering, software development, computer science, instructional design, or user experience research and design would benefit from an internship one of these teams.
For more information, contact us via email.