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Blog Project Announcement 5 min read Jan 29, 2025 Auf Deutsch lesen

Career Atlas: Mapping Career Options from Self-Description

The Career Atlas is a free web app for career orientation. Users describe their interests, strengths and occupational preferences in their own words, and a language model places more than 3,200 occupations on a personal map of options, as a starting point for self-exploration and career counseling.

BEH Dr. Björn E. Hommel
Dr. Björn E. Hommel Senior Scientist
RNL M. Sc. Robin N. Lux
M. Sc. Robin N. Lux Data Scientist

Together with Runourcode GmbH and the Chair of Work and Organizational Psychology at the University of Bamberg, magnolia psychometrics announces the release of the Career Atlas (previously: Interaktiver Laufbahn-Atlas in German), a free web app for career orientation.[1]

Most tools and assessments in career orientation rely on psychometric testing to match a person’s abilities, interests or skills to job requirements. Others leave job seekers to sift through vast catalogs to find career paths they might be interested in.

In contrast, the Career Atlas was designed to lower the burden on job seekers and let them explore the occupational landscape freely. Users answer a few open questions about themselves in their own words, for example what they enjoy, what they are good at and where they would like to work. The app then uses state-of-the-art natural language processing to compare their answers with over 3,200 occupational descriptions from the German Federal Employment Agency. The results are drawn on a map, where occupations closer to the center indicate a better fit.

info The Career Atlas is currently available in German and covers occupations in the German labor market. It runs as a free research preview on Hugging Face. If the app has gone idle, click "Restart Space" and give it a minute to start.

Try the Career Atlas here: huggingface.co/spaces/magnolia-psychometrics/career-atlas.

Why career orientation needs a new map

Careers have become less linear. People change employers, sectors and occupations more often than a generation ago, and the boundaries between job roles keep blurring.[2, 3] At the same time, the fit between a person and their work matters, since research links it to job satisfaction, health and the ability to keep working.[4]

Career counseling helps people make these decisions,[5] but it is a scarce resource, and many existing digital tools presuppose a target occupation to search for. Assessments like interest inventories, on the other hand, ask everyone the same closed questions and leave little room for what makes an individual biography unique.

Here, the Career Atlas offers the best of both worlds. It is low-threshold enough to be used on a phone, alone, at any time, and open enough to take in whatever a person considers relevant about themselves.

How it works

The app asks seven open questions, for example about interests, skills, preferred tasks and places of work. Users can give several answers per question and move on whenever they like.

A fine-tuned language model translates both these answers and the descriptions of each occupation into a shared representation of meaning. It then estimates how closely every occupation matches what a person has written. The approach builds on our earlier finding that language models can infer how psychological texts relate to one another from the text alone.[6]

The occupational data come from BERUFENET, the occupational information database of the German Federal Employment Agency. Each match therefore leads to an established, faithful description of what the work and the training involve.

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Preview 1. A tour through the Career Atlas. Screens from the German-language app. Swipe, scroll or use the arrows to browse.

Use cases

Career counseling sessions

In a counseling session, the Career Atlas works as a structured conversation starter. Counselor and client can fill in the questions together, look at the map and talk about why certain occupations appear, and why others the client expected do not. Because the input is free text, the session starts from the job seeker’s perspective and with the topics they prioritize in their working life.

Social cognitive career theory describes how people can rule out occupations prematurely, based on inaccurate beliefs about their own abilities or about what a job would offer them.[7] A map that shows nearby but unfamiliar occupations is a direct way to widen that range of considered options, which counselors can then explore with the client.

Guidance in schools, job centers and youth programs

The app is intended for anyone facing a career decision, e.g., school leavers, job seekers, people considering further training or a career change, and people returning to work. The youth employment initiative JOBLINGE in Leipzig is the project’s cooperation partner for work with young job seekers. In group settings, the Career Atlas gives every participant an individual result without requiring a lengthy test session.

What the Career Atlas is not

The Career Atlas is not a psychometric test and makes no diagnostic claims. Its suggestions reflect how a person describes themselves, so they are best treated as hypotheses to explore, not as recommendations. It complements career counseling, but it does not replace it. A counselor remains essential for interpreting the results, for weighing constraints such as finances or location, and for supporting people under strain.

Partners and funding

The project was funded for one year in 2024 by the German Federal Ministry of Labour and Social Affairs (BMAS) within the program “Civic Innovation: Gemeinsam sind wir KI”. It was developed by magnolia psychometrics in collaboration with Runourcode GmbH and the University of Bamberg.

References

  1. Schubert, K., Mader, N., Welt, M. S., Hommel, B. E., Wollang, F. J. M., & Volmer, J. (2025). The interactive career atlas—An AI-based web application for informed career decisions. In F. Bellas & O. Fontenla-Romero (Eds.), AI in education and educational research (Communications in Computer and Information Science, Vol. 2519, pp. 44–51). Springer. https://doi.org/10.1007/978-3-031-93409-4_4

  2. Sullivan, S. E., & Arthur, M. B. (2006). The evolution of the boundaryless career concept: Examining physical and psychological mobility. Journal of Vocational Behavior, 69(1), 19–29. https://doi.org/10.1016/j.jvb.2005.09.001

  3. Hirschi, A. (2018). The fourth industrial revolution: Issues and implications for career research and practice. The Career Development Quarterly, 66(3), 192–204. https://doi.org/10.1002/cdq.12142

  4. Edwards, J. R., Caplan, R. D., & Harrison, R. V. (1998). Person-environment fit theory: Conceptual foundations, empirical evidence, and directions for future research. In C. L. Cooper (Ed.), Theories of organizational stress (pp. 28–67). Oxford University Press.

  5. Whiston, S. C., Li, Y., Goodrich Mitts, N., & Wright, L. (2017). Effectiveness of career choice interventions: A meta-analytic replication and extension. Journal of Vocational Behavior, 100, 175–184. https://doi.org/10.1016/j.jvb.2017.03.010

  6. Hommel, B. E., & Arslan, R. C. (2025). Language models accurately infer correlations between psychological items and scales from text alone. Advances in Methods and Practices in Psychological Science, 8(4), 25152459251377093. https://doi.org/10.1177/25152459251377093

  7. Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122. https://doi.org/10.1006/jvbe.1994.1027

Authors
BEH Dr. Björn E. Hommel
Dr. Björn E. Hommel Senior Scientist
RNL M. Sc. Robin N. Lux
M. Sc. Robin N. Lux Data Scientist

Dr. Björn E. Hommel. Björn has worked in psychological assessment for more than a decade, in both practice and research. In his academic work, he studies how language models and AI can improve the quality of psychological measurement. At magnolia psychometrics, he builds these methods into practical tools that help organizations conduct more reliable, data-driven assessments.

M. Sc. Robin N. Lux. Robin holds a Master's degree in I/O Psychology, studies Behavioral Data Science at the University of Amsterdam, and investigates protection algorithms against AI bots in online surveys.

Cite as

Hommel, B. E., & Lux, R. (2025, January 29). Career Atlas: Mapping career options from self-description. magnolia psychometrics. https://magnolia-psychometrics.com/blog/career-atlas-release

@misc{Hommel2025Career,
    author       = {Hommel, Bj{\"o}rn E. and Lux, Robin},
    title        = {{Career Atlas: Mapping Career Options from Self-Description}},
    howpublished = {magnolia psychometrics},
    year         = 2025,
    month        = jan,
    url          = {https://magnolia-psychometrics.com/blog/career-atlas-release},
    note         = {Blog post}
}
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