Job Overview
Location
Colombia - Fully Remote
Job Type
Contract
Category
Software Engineering
Date Posted
May 26, 2026
Full Job Description
đź“‹ Description
- • Design advanced, deterministic chemistry problems with exactly one verifiable correct answer for training and evaluating frontier AI models.
- • Create reasoning-intensive tasks grounded in real scientific workflows across computational chemistry, physical chemistry, analytical chemistry, and chemical engineering-adjacent domains.
- • Develop technically precise problems that require deep domain knowledge, numerical computation, and specialized software tools, avoiding textbook recall or superficial questions.
- • Write clear, rigorous, and concise technical explanations in English for all problem solutions and reasoning pathways.
- • Implement problem designs using Python and, where applicable, domain-specific chemistry software or simulation packages to ensure computational reproducibility.
- • Ensure all generated tasks are fully documented, reproducible, and validated with verified solutions that can be independently executed.
- • Collaborate with AI training teams to align problem complexity and structure with the evaluation needs of leading AI laboratories.
- • Maintain strict adherence to scientific accuracy and technical rigor in every aspect of problem design and documentation.
- • Work independently on a part-time, contract basis with a commitment of 20 hours per week over a 2-month project period, with potential for extension.
- • Deliver high-quality, production-ready chemistry training data that directly informs AI model training and benchmarking workflows.
- • Apply expertise in quantitative chemical reasoning to construct problems that challenge state-of-the-art AI systems with non-trivial computational and conceptual demands.
- • Use scientific tools and libraries to simulate reactions, analyze spectra, model molecular systems, or perform calculations that underpin problem design.
- • Ensure all outputs are structured for seamless integration into AI training pipelines with unambiguous input-output specifications.
- • Maintain meticulous attention to detail in problem formulation, solution verification, and documentation to prevent ambiguity or multiple valid answers.
- • Communicate clearly and professionally with technical teams to clarify requirements, resolve ambiguities, and refine problem specifications.
- • Adapt problem designs based on feedback from AI evaluation results to improve difficulty, clarity, and scientific validity.
- • Work remotely with no requirement for physical presence, coordinating asynchronously across global teams.
- • Begin work immediately upon selection, with flexibility to manage schedule within the 20-hour weekly commitment.
🎯 Requirements
- • Bachelor's, Master’s or PhD in Chemistry or a related field
- • Research or industry experience involving computational or quantitative chemistry workflows
- • Strong Python skills; familiarity with scientific libraries
- • Strong understanding of modeling, numerical approaches, and chemical reasoning
- • Ability to design original, difficult problems that go beyond textbook recall
- • Excellent attention to detail and clear technical writing
🏖️ Benefits
- • Compensation up to 40 USD / hr
- • Contract / part-time arrangement with 20 hours per week commitment
- • Project duration of 2 months with potential for extension
- • Fully remote work with no location constraints within Colombia
Skills & Technologies
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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