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Chemistry AI Training Expert (Germany)

Job Overview

Location

Germany

Job Type

Contract

Category

Software Engineering

Date Posted

April 1, 2026

Full Job Description

đź“‹ Description

  • • The Chemistry AI Training Expert role is pivotal in advancing AI capabilities by creating high-quality, deterministic chemistry problems that serve as training and evaluation data for frontier AI models, directly contributing to the development of more scientifically rigorous and reasoning-capable artificial intelligence systems.
  • • This position offers a unique opportunity to apply deep chemistry expertise in shaping how AI understands and reasons about complex scientific domains, with work that bridges theoretical knowledge and practical AI training needs.
  • • Day-to-day responsibilities include designing advanced, deterministic chemistry problems with exactly one verifiable correct answer that reflect real scientific workflows in areas such as computational chemistry, physical chemistry, analytical chemistry, and chemical engineering-adjacent tasks.
  • • The role involves creating fully verified solutions and rigorous technical explanations in English, ensuring each problem is reproducible, technically precise, and suitable for use in AI model training and evaluation pipelines.
  • • Candidates will use Python and, where appropriate, domain-specific chemistry tools or simulation packages to develop computationally grounded, reasoning-intensive challenges that go beyond rote memorization and test true AI reasoning capabilities.
  • • All tasks must be meticulously documented and validated to meet the exacting standards required for use in leading AI labs’ training and evaluation workflows.
  • • The role is based at Anyone AI Inc., a company focused on producing elite STEM training data for frontier AI systems, operating at the intersection of scientific expertise and AI innovation.
  • • The team collaborates closely with AI researchers and lab partners to ensure that the generated problems meaningfully challenge state-of-the-art models and drive progress in AI’s scientific reasoning abilities.
  • • In this role, the expert will deepen their ability to translate complex chemical knowledge into structured, AI-training-relevant formats while gaining insight into how AI systems learn and evaluate scientific reasoning.
  • • The position offers significant professional growth in AI alignment, technical content creation for machine learning, and the application of chemistry expertise in cutting-edge AI development contexts.

🎯 Requirements

  • • Bachelor’s, Master’s, or PhD in Chemistry or a closely related field
  • • Research or industry experience involving computational or quantitative chemistry workflows
  • • Strong Python proficiency with familiarity in scientific libraries such as NumPy, SciPy, or Pandas
  • • Demonstrated ability to design original, difficult chemistry problems that require deep reasoning and go beyond textbook recall
  • • Excellent attention to detail and clear technical writing skills in English

🏖️ Benefits

  • • Fully remote work arrangement with flexible scheduling
  • • Competitive compensation of up to 40 USD per hour
  • • Part-time commitment of 20 hours per week, allowing for work-life balance
  • • Immediate start on a 2-month contract with potential for extension based on performance and project needs
  • • Opportunity to contribute directly to the training of frontier AI models used by leading AI labs

Skills & Technologies

Python
Go
Remote
Degree Required

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Anyone AI Inc.
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About Anyone AI Inc.

Anyone AI provides no-code computer-vision infrastructure that lets companies build, train and deploy image and video models without machine-learning teams. Its cloud platform automates data labeling, model optimization and edge deployment for retail, manufacturing, logistics and healthcare use cases. The company offers pre-trained APIs for object detection, counting and anomaly identification, plus dashboards for continuous monitoring and compliance. Founded in 2021, it targets enterprises seeking rapid AI adoption while avoiding costly specialists and infrastructure setup.

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