Job Description

Job Summary: The Teaching and Learning Lab (TLL), supports and develops innovative and effective approaches, across modalities, to teaching and learning at the Harvard Graduate School of Education. The successful candidate will be passionate about exploring new technologies, solving complex problems, and using technologies in support of our strategic commitment to deliver high-quality educational experiences that transform lives across diverse communities of students.
What We Offer

• We are a team that is caring, supportive, creative and fun. We have knitters, woodworkers, marathon runners, bakers, artists, parents (of humans, and cats, dogs, and plants), international travelers, and more.
• While we currently work in flexible arrangements, we find ways to stay connected and build relationships, participating in virtual drawing games, sharing stories, and other virtual events.
• We have diverse backgrounds and unique experiences that enable us to continuously learn from one another, iterate on our processes, and enhance our work.
• You will have the opportunity to work with a team that is creative, eccentric, empathetic, caring and always focused on creating high-quality, human-centered learning experiences.

We are looking for someone who is:

• Excited about exploring and evaluating new technologies and providing support and guidance to staff and faculty.
• Committed to delivering a human-centered, caring, quality learner experience that is also equity-focused.
• Comfortable with ambiguity, with a growth mindset and the ability to work both autonomously and in collaboration to deliver on precise deadlines.
• Experienced in developing digital learning artifacts with the skills needed to work with a diverse community.
• Knowledgeable in pedagogies needed for working in online and blended learning environments (such as inclusive learning), and of digital accessibility standards (especially with regard to neurodiversity).
• Passionate for learning and remaining on the cutting edge of current thinking in the learning sciences, educational technology, and inclusive and equitable approaches, with the ability to present a perspective on these issues in strategic and technical conversations.
• Excited to contribute to the mission of Harvard Graduate School of Education, a top-ranked educational organization, and support the student learning experience.

Position Description: Learning Technologies and Innovation (50%)

• Support implementation and integration of digital content within a learning management system.
• Help design new digital learning experiences by finding the best tools and approaches for specific cases.
• Collaborate in the design, development and testing of AI-supported learning experiences.
• When applicable, partner with team members to design a high-level vision for a course or project learning experience, including learner journeys, technology and platform features, and metrics of technology effectiveness and learner success.
• Support management and refresh of TLL website.
• Maintain documentation and provide technology training and support.

Course Development (50%)

• Provide technical and pedagogical support for the design and development of engaging, caring, humanizing, inclusive, and active learning experiences via various modes of delivery.
• Utilize best practices and current thinking from the learning sciences and educational technology research to design and develop highly effective, engaging learning experiences and content that supports diverse populations and audiences .
• Identify solutions to increase interactivity of digital content, get faculty feedback, and implement selected solutions for on-campus, online, and blended courses.
• Assist faculty in converting content – including multimedia content, group collaboration activities, assessments, etc. – into online modules.

This is a term position through 8/31/2026. Possibility for extension based on department needs and budget.
Physical Requirements:
Working Conditions:

TOOLS AND EQUIPMENT USED:
Microsoft Office applications, Canvas, Canvas LTIs, CidiLabs, Harvard LXP, Enterprise Applications software, established and emerging tools for communication, collaboration, and presentation. Visual Studio Code, Python, JavaScript, git. Langchain, Microsoft Autogen, ChromaDB, Linux, llama.cpp / Ollama, Postman, Open AI / Amazon Bedrock’s APIs, Microsoft Power BI, Chainlit, multiple NLP tools for quantitative text analysis.

Qualifications

Basic Qualifications: Any candidate wishing to be considered must supply a cover letter in addition to their resume.

• Minimum of two years’ experience in instructional technology and/or design. Bachelor’s Degree in relevant field may count toward experience.
• Functional knowledge of HTML and CSS, and basic experience coding in any language (Python, R and JavaScript preferred).
• Experience using generative AI tools.

Additional Qualifications and Skills:

• Strong, communicative, collaborator with a track record of working closely with other teams to achieve project objectives within deadlines and budgets.
• • Current understanding of educational technology trends, issues, and innovations, as they relate to post-secondary education.
• Experience working in a client service role or consulting organization; experience in higher education and non-higher education settings.
• Experience communicating ideas visually through sketches, wireframes, diagrams, etc.
• Basic to intermediate understanding of AI and Generative AI concepts.
• Experience deploying and developing Machine Learning and Generative AI tools, including predictive models and custom tools connected to Gen AI APIs.
• Data Analysis knowledge and experience.
• Experience with UI/UX design and testing.
• Functional knowledge of Python, JavaScript and/or other programming languages.
• Experience with tools for, and knowledge of accessibility.
• Experience with and knowledge about serving underrepresented populations.
• Ability to quickly learn new technologies and transfer knowledge to others in formal and informal contexts.
• Master’s degree in Education or a related field
• Data Science tools (such as Rstudio and Jupyter Notebooks)
• Excellent written and communication skills
• Project management

Certificates and Licenses:

Additional Information

• Appointment End Date: August 31, 2026
• Standard Hours/Schedule: 35 hours per week
• Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
• Pre-Employment Screening:Identity
• Other Information:

Work Format Details

This is a position that is based at a Harvard campus location with some remote work options available. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 056. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.

Benefits

Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:

• Generous paid time off including parental leave
• Medical, dental, and vision health insurance coverage starting on day one
• Retirement plans with university contributions
• Wellbeing and mental health resources
• Support for families and caregivers
• Professional development opportunities including tuition assistance and reimbursement
• Commuter benefits, discounts and campus perks

Learn more about these and additional benefits on our Benefits & Wellbeing Page.

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.