> Markdown version of [/jobs/ext/590632-particle-physics-computational-problem-designer-ai-trainer](https://www.wearedevelopers.com/jobs/ext/590632-particle-physics-computational-problem-designer-ai-trainer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Particle Physics Computational Problem Designer - AI Trainer - **Company:** Mercor, Inc. - **Location:** Chicago, IL, United States (Remote available) - **Salary:** $145,600.0 - $208,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Linux, Python (Programming Language), Containerization, Data Analytics, Software Library - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=67e602e9bd6498f1 ## About the Role Do you have experience in Technical Proficiency?, Must-Have * Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent). * Proficiency with scientific software libraries, evidenced by research or professional work. * Strong Python programming skills for problem setups and solution validation. * Ability to work independently and iterate based on feedback. * Comfortable in a Linux/terminal environment with remote compute sandboxes. * Available for 15-20 hours/week. Preferred * Experience across multiple domains or tools. * Familiarity with benchmark or evaluation design. * Background in scientific pedagogy or exam/problem-set design. * Experience with computational reproducibility and containerized environments. ## Description * Calibrate problems against frontier AI models and iterate until difficulty is optimal. * Evaluate complex scientific workflows and refine problem setups for accuracy. * Collaborate independently to enhance AI model performance and reasoning. * Utilize scikit-hep and related HEP Python tools for data analysis and computations. ## Related Videos - [Containers and Kubernetes made easy: Deep dive into Podman Desktop and new AI capabilities](https://www.wearedevelopers.com/videos/1133-containers-and-kubernetes-made-easy-deep-dive-into-podman-desktop-and-new-ai-capabilities) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Discover the open source trio you didn’t expect: .NET and PostgreSQL on Linux](https://www.wearedevelopers.com/videos/2042-discover-the-open-source-trio-you-didn-t-expect-net-and-postgresql-on-linux) - [Turning Container security up to 11 with Capabilities](https://www.wearedevelopers.com/videos/718-turning-container-security-up-to-11-with-capabilities) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [A 5-Step Open-Source Setup for Agentic Engineering](https://www.wearedevelopers.com/magazine/738-a-5-step-open-source-setup-for-agentic-engineering)