
Job Overview
Location
Uruguay
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 original, challenging problems that test mathematical understanding beyond memorization, mirroring real-world research workflows
- • Write complete, verified solutions for every problem, including step-by-step reasoning and logical justification
- • Document all problem-solving processes clearly and rigorously in English to support AI training and evaluation pipelines
- • Utilize Python and computational libraries (e.g., numpy, scipy, pandas) to build and validate mathematical workflows where applicable
- • Ensure all outputs meet high standards of technical accuracy, clarity, and consistency for use by leading AI laboratories
- • Collaborate remotely with a distributed team to contribute high-quality STEM training data used directly in AI model development
- • Maintain strict adherence to problem specifications: no ambiguity, no multiple solutions, no open-ended prompts
- • Focus on areas including but not limited to algebra, analysis, combinatorics, number theory, and applied mathematics
- • Deliver work on a part-time, contract basis with a commitment of 20 hours per week over a 2-month project period
- • Prepare all deliverables for immediate integration into AI evaluation systems with no need for further revision or clarification
- • Ensure all mathematical constructs are rigorously defined and free from computational or logical errors
- • Adapt problem complexity to challenge state-of-the-art AI systems without relying on obscure or artificially constructed edge cases
- • Maintain consistent quality across all submissions, with attention to notation, terminology, and formatting standards
- • Contribute to iterative improvements in problem design based on model performance feedback
🎯 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
- • Project duration of 2 months with potential for extension
- • Immediate start available
- • Remote work arrangement
- • Opportunity to contribute directly to cutting-edge AI research at leading AI labs
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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