[Spring 2027] Technology Services Intern

Whitney Museum of American Art•New York, NY

11d•Onsite

About The Position

The Whitney seeks a Technology Services Intern for the spring 2027 semester. This is a semester-long paid internship for rising Juniors and above (including Graduate students) enrolled in an accredited academic program. The internship is in-person and onsite, with interns committing between 16–21 hours per week over 10–12 weeks for a total of 176 hours. The official program dates will span from January 18-April 26, 2027. Interns will be assigned to a specific department at the Museum for the duration of the internship. The goal is to build and document one or two solutions from an idea list, resulting in a portfolio of work that real people depend on.

Requirements

Currently enrolled undergraduate junior or senior, or graduate student.
Enrolled in an accredited academic program.
Hands-on experience using an AI assistant such as Claude to write code or documentation, with examples to show and the ability to explain the approach taken.
Clear written English.
Ability to explain a technical step to a non-technical reader.
Comfortable finishing something small rather than starting something large.
Coursework, personal projects, hackathons, and open source contributions count as evidence of ability.

Nice To Haves

Computer science, information systems, digital humanities, museum studies with a technology focus, or a related field.
Able to write and debug a script in at least one language, PowerShell or Python.
Interest in museums, cultural institutions, or nonprofit technology.

Responsibilities

Build solutions from the Technology Services Idea Management list, scoping them down to be finishable within the term.
Build solutions which may include PowerShell or Python scripts, Power Automate flows, SharePoint pages, Freshservice workflows, or small web pages.
Test built solutions with a staff member who has the problem before considering them complete.
Hand over working solutions, documentation, and a walkthrough at the end of the term.
Write staff-facing knowledge base articles for built solutions and existing undocumented fixes, following the department’s established format.
Submit articles through the department’s documentation repository and review process.
Use AI tools like Claude for drafting, code generation, troubleshooting, and documentation, and be able to explain the approach taken.
Write effective prompts for AI tools that carry enough context to produce usable results.
Verify AI-generated outputs by testing code, checking facts, and reviewing documentation before publication.
Report on instances where AI provided incorrect information to inform team practices and the museum’s AI enablement work.
Attend the Technology Services weekly team meeting and provide updates on progress and blockers.
Keep assigned ideas current in Asana to provide status visibility.
Flag any discovered issues or opportunities that should become new ideas or tickets.