Part-Time Planning & Innovation Intern: Data & AI

Ann Arbor Area Transportation Authority (TheRide); Ann Arbor (MI); On-site; USD 25,000 - 34,000; Part time

Job summary

Ann Arbor Area Transportation Authority (TheRide) is seeking a Planning Intern (Part-Time) to support the Planning & Innovation Division with data analysis, performance monitoring, and communications tasks as part of AAATA's 2045 Long Range Plan. The role offers hands-on experience in planning for transit service plans and capital programs.

The position supports routine project tasks, data visualization, and documentation, with opportunities to engage in AI research and stakeholder

Qualifications

• Enrolled student in a related field such as transportation, urban planning or GIS.
• Familiarity with data analysis, visualization, or performance monitoring is a plus.
• Willingness to assist across planning, scheduling, and AI-related tasks.

Responsibilities

• Assist with data collection and analysis for ridership, GIS, and other data.
• Support verification and data cleaning activities.
• Perform basic statistical and GIS analyses.
• Help monitor on-street performance and service metrics.
• Document customer service issues and track performance indicators.
• Assist with route, schedule, and boarding location planning adjustments.
• Support long-term planning initiatives including facility projects and bus rapid transit.

Skills

Data analysis

Performance monitoring

Communication

Education

Enrollment in transportation/urban/land use planning or related field (GIS/ data visualization)

Tools

GIS

Visualization tools

Job description

Ann Arbor Area Transportation Authority (TheRide) is seeking a Planning Intern (Part-Time) to support the Planning & Innovation Division with data analysis, performance monitoring, and communications tasks as part of AAATA's 2045 Long Range Plan. The role offers hands-on experience in planning for transit service plans and capital programs.

The position supports routine project tasks, data visualization, and documentation, with opportunities to engage in AI research and stakeholder