Job Overview
Location
Germany
Job Type
Contract
Category
Software Engineering
Date Posted
June 21, 2026
Full Job Description
📋 Description
- • Design advanced mathematical problems to train and evaluate frontier AI models with a focus on deep reasoning capabilities
- • Create deterministic problems that have exactly one verifiable correct answer, ensuring technical precision and reproducibility
- • Develop problems that test genuine mathematical understanding, not rote memorization or pattern recognition
- • Write complete, verified solutions for every problem, including step-by-step reasoning and logical justifications
- • Document the solution process clearly in English, ensuring accessibility and accuracy for AI training pipelines
- • Use Python and computational libraries (e.g., numpy, scipy, pandas) to build and validate mathematical workflows where applicable
- • Ensure all problem sets are technically rigorous and aligned with real-world mathematical research and problem-solving workflows
- • Contribute to high-quality STEM training data used directly in training and evaluation pipelines at leading AI laboratories
- • Maintain strict adherence to problem specifications: no ambiguity, no multiple solutions, no open-ended prompts
- • Collaborate remotely with a distributed team to refine problem design and validate output quality
- • Deliver consistent, high-fidelity outputs within a 20-hour weekly commitment over a 2-month contract period
- • Prepare and submit all deliverables with meticulous attention to detail, including formatting, notation, and logical flow
- • Adapt problem complexity to challenge state-of-the-art AI systems without relying on computational brute force
- • Ensure all mathematical content is original and avoids publicly available or textbook-style problems
- • Maintain clear communication regarding progress, challenges, and deliverables throughout the project duration
- • Be available for immediate start and capable of meeting tight deadlines for iterative problem batch submissions
🎯 Requirements
- • Master’s or PhD in Mathematics or a closely related field
- • Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics
- • Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar
- • Solid grasp of algorithms, numerical methods, and computational approaches
- • Ability to design original, difficult problems that mirror real mathematical workflows
- • Excellent attention to detail and technical writing skills in English
🏖️ Benefits
- • Compensation of up to 40 USD per hour
- • Contract-based, part-time engagement at 20 hours per week
- • Project duration of 2 months with potential for extension
- • Remote work arrangement with flexible scheduling within weekly commitment
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
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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