Job Overview
Location
Turkey
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 no ambiguity or multiple interpretations
- • Develop complete, verified solutions for each problem with clear, step-by-step documentation of the reasoning process
- • Craft problems that test genuine mathematical understanding rather than pattern recognition or memorization
- • Utilize Python and computational tools such as numpy, scipy, or pandas to build reproducible computational workflows where applicable
- • Ensure all problem statements, solutions, and documentation are technically precise, logically sound, and written in fluent, professional English
- • Contribute to high-quality STEM training datasets used directly in AI training and evaluation pipelines at leading AI research labs
- • Maintain rigorous standards for mathematical correctness, reproducibility, and clarity in all submitted outputs
- • Collaborate asynchronously with a global team to align problem design with evolving AI evaluation benchmarks
- • Deliver consistent weekly outputs within a 20-hour-per-week commitment over a 2-month project period, with potential for extension
- • Adapt problem complexity to challenge state-of-the-art AI systems without relying on computational brute force or obscure notation
- • Focus on areas including but not limited to abstract algebra, real analysis, number theory, combinatorics, and applied mathematical modeling
- • Verify all solutions independently using multiple methods to eliminate errors and ensure absolute technical accuracy
- • Document assumptions, constraints, and solution pathways explicitly to enable transparent evaluation by AI systems and human reviewers
- • Maintain strict adherence to formatting and submission guidelines for all problem-solution pairs
- • Prioritize originality in problem design to avoid duplication of existing benchmarks or publicly available questions
- • Contribute to iterative feedback loops by refining problems based on AI model performance and team input
🎯 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 / part-time arrangement with 20 hours per week commitment
- • Immediate start available
- • Project duration of 2 months with potential for extension
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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