Internship: Trustworthy AI Self-Assessment Tool (Python/Django)

Background

We, at Trustworthy AI team at Mimer, are developing a Trustworthy AI self-assessment tool that helps organisations translate Trustworthy AI principles and regulatory requirements into practical, and actionable processes.

Our work builds on established frameworks such as ALTAI (Assessment List for Trustworthy AI) and aligns closely with the EU AI Act technical requirements, supporting organisations, particularly SMEs, in understanding and navigating requirements when developing and deploying AI systems.

As part of this effort, we are looking for an intern to contribute to both the technical development and the assessment design process, working at the intersection of technology, regulation, and structured self-assessment methodologies.

Goals

The goal of this internship is to contribute to the development of a practical and scalable Trustworthy AI self-assessment tool that enables organisations to translate Trustworthy AI principles and EU AI Act requirements into actionable processes. In doing so, the role aims to strengthen the connection between technical implementation (Python/Django) and structured governance frameworks, explore effective methodologies for self-assessment workflows, and ultimately contribute to building an accessible and valuable tool for organisations.

Responsibilities

As an intern, you will contribute to the ongoing development, evaluation and improvement of a Trustworthy AI self-assessment tool, working at the intersection of software development, AI governance, and structured evaluation processes.

Your responsibilities will broadly include:

• Work closely with a multidisciplinary team (technical, research, and policy perspectives)
• Support the iterative improvement of a web-based application built with Python and Django based on feedback and team insight
• Contribute to structuring and managing assessment content within the application (e.g., questions, mappings, workflows) and work with structured questionnaire-based assessment frameworks

Good to have:

• Participate in discussions around self-assessment methodologies and workflows

Qualifications

You are someone who is:

• A masters student or graduate
• Comfortable in working with python and Django
• Comfortable reading and discussing structured text (policy/technical)
• Thrives in team work, engaging discussion and critical analysis and multi-disciplinary setup
• Proficient in English, both spoken and written

Good to have:

• Understand self-assessment, and questionnaire based processes
• Swedish language skills

What You Will Gain?

• The opportunity to work in a multidisciplinary environment alongside researchers, engineers, and policy experts at the intersection of AI, technology, and regulations.
• Exposure to real-world Trustworthy AI challenges, including the operationalisation of principles.
• Insight into ongoing European standardisation efforts (e.g., CEN-CENELEC).
• First-hand experience engaging with the EU AI Act technical requirements.
• Practical experience contributing to a live, evolving software system, combining technical development with structured assessment methodologies.

Welcome with your application!

To know more, please contact Nishat Mowla ( Visa e-postadress på studentjob.se ). Applications should include a brief personal letter, CV/resume, and recent transcript of records. Candidates are encouraged to send in their application as soon as possible but at the latest by 30th of August, 2026. Suitable applicants will be interviewed as soon as applications are received.

About the position

• City: Umeå/Sundsvall/Gothenburg (hybrid position)
• Contract type: Temporary position (6 months)
• Job type: Internship
• Contact person: Nishat Mowla, Visa telefonnummer på studentjob.se
• Last application date: 2026-08-30

Category Student - Thesis Locations Umeå, Sundsvall, Gothenburg Remote status Hybrid