Summer Internship - Measurement, Research and Development - Academic Measurement

At ACT Your Work Makes a Difference

Education has power – a power that changes lives forever. It creates opportunities that lift up individuals, their families, and sparks societal change that echoes through generations to come.

ACT Education Corp. team members are part of an organization dedicated to an important mission: Helping people achieve education and workplace success.

We are seeking a Summer Intern for our Measurement, Research and Development - Academic Measurement team.

The summer research intern will work with researchers and content developers within ACT's Digital Science team. Candidates will be working remotely for the 10-week duration of the internship.

Location: This is a remote internship, based in the United States.

Duration: Monday June 8, 2026 to Friday August 14, 2026 (flexible for the right candidate).

Pay Rate: $23.00/hour. The position is not incentive or benefits eligible.

Work Hours: Monday - Friday 8:00am - 4:30pm Central Time (flexible for the right candidate).

Possible research studies for the summer include:

• Creating and refining machine learning models used for automated essay scoring or for predicting item performance
• Developing AI/ML-based applications to help subject matter experts author passages, create graphics, and locate appropriate source material
• Developing AI/ML-based applications for test prep

Typical job-related activities include:

• Design and execute original research studies
• Develop machine learning models and prototype applications
• Data cleaning and analysis
• Write and present reports on analysis results

Qualifications:

Education:

• BA in psychometrics, educational psychology, statistics, computer science, machine learning, human-computer interaction, or related field
• Must be working toward Ph.D. in a related field

Experience:

• Proficient in programming languages (Python or R preferred) and AI/ML packages (e.g., scikit-learn, pytorch, etc.)
• Excellent writing and communication skills
• Thrive in cross-team collaboration environments
• Strong work ethic
• Knowledge of: AI/ML methods, psychological/educational assessments, user-experience research/design methods