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This position was posted on June 24, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
Argentina - Fully Remote
Job Type
Contract
Category
Data & Analytics
Date Posted
June 24, 2026
Full Job Description
đź“‹ Description
- • Chemistry AI Training Expert role focused on creating high-quality STEM training data for frontier AI models used by leading AI labs
- • Design advanced, deterministic chemistry problems with exactly one verifiable correct answer that challenge modern AI systems through deep reasoning and computational rigor
- • Work with Anyone AI Inc. in a fully remote contract position based in Argentina, contributing to AI training workflows that require domain expertise and technical precision
- • Develop skills in AI data creation, technical problem design, and scientific communication while working on projects that directly impact frontier AI model training and evaluation
🎯 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
- • Fully remote work arrangement based in Argentina
- • Competitive compensation of up to 40 USD per hour
- • Part-time contract with 20 hours per week commitment
- • Immediate start availability
- • 2-month project duration with potential for extension
- • Opportunity to contribute to frontier AI model training and evaluation workflows
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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