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Be ready to walk through a past simulation or inversion, how you validate results, and how you would grade an AI answer on source characterization or waveform misfit—concise, exam-style explanations.
Strong fit if you hold a PhD-level computational seismology background and can teach models through structured feedback. Weaker fit if you want pure research headcount rather than expert annotation for AI systems.
As a Computational Seismology Expert (PhD) for Mercor, expect to package research-grade seismic knowledge for AI training: define problem sets, critique model outputs on wave propagation/inversion, write scoring rubrics, and clarify edge cases from field and numerical seismology.
No cert family or priced resources in CERTS. Prioritize solid numerical seismology, Python/scientific computing, and the ability to explain failure modes of AI answers on geophysical tasks.
DATA frames Mercor as an AI hiring platform for experts who train models, not a seismic observatory employer.
Germany; remote is marked off (remote: 0).
Press has covered rapid revenue growth and a confirmed security incident; treat headlines as context, not workplace guarantees.
Website: mercor.com.pl
Mercor.io Corporation (Mercor) is an American artificial intelligence (AI) hiring startup that provides experts to train AI models and chatbots. The company's three founders became the youngest self-made billionaires in 2025 after starting the company in 2023 at the age of 22. The company is headquartered in 181 Fremont, San Francisco.
Public cache only — not an employee review.
Computational Seismology Expert - PhDmercorGermany Position Summary Mercor is seeking a Computational Seismology & Geophysics Expert to join our team. This full-time, on-site position in Germany offers competitive compensation of $70–$85/hour. Day-to-Day Responsibilities Design challenging computational problems to evaluate AI capabilities in solving scientific tasks. Develop and test problems using specialized scientific software such as SPECFEM, ObsPy, and Pyrocko. Collaborate on AI model training, evaluation, and improvement in computational seismology. Independently refine problem designs based on feedback to ensure optimal challenge difficulty. What You Bring A graduate-level degree (MS, PhD) or equivalent research experience in a relevant STEM field. Proven proficiency with at least one scientific software library such as SPECFEM, ObsPy, etc. Strong Python skills for writing problem setups and solution validators. The ability to work independently in a Linux/terminal environment. A commitment of 15–20 hours per week. Experience across multiple listed domains or tools is preferred. Familiarity with benchmark or evaluation design, scientific teaching, or exam/problem-set design is beneficial. Background in computational reproducibility and containerized environments is a plus. Why Join mercor Mercor connects elite creative and technical talent with leading AI research labs. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. We offer an exciting opportunity to contribute to cutting-edge research in computational seismology while working alongside top professionals. How to Apply To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there. For details about the interview process and platform information, please check: [Check Details] To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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