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OpenTrain AI is seeking a Scientific Coding AI Training Expert to create and evaluate complex scientific programming tasks used to train and assess advanced AI models. You will turn challenging STEM problems into structured specifications, implement verified Python solutions, develop tests that distinguish strong and weak model outputs, and refine work against demanding quality standards.
This freelance contractor engagement focuses on scientific coding task creation and evaluation, with about
OpenTrain AI is the hiring and contracting organization for this role. It helps people build careers in AI training and data labeling by connecting specialized contributors with projects, supporting professional profiles, and making it easier to grow a durable portfolio of AI work.
AI training is the human side of building modern artificial intelligence. Contributors create examples, review model outputs, and evaluate whether generated content or code is correct, useful, and reliable. Scientific coding experts help advanced models improve by providing rigorous problems, validated solutions, and high-quality assessments.
OpenTrain is seeking a Scientific Coding AI Training Expert to create and evaluate complex scientific programming tasks used to train and assess advanced AI models. You will turn challenging STEM problems into structured specifications, implement verified Python solutions, develop tests that distinguish strong and weak model outputs, and refine work against demanding quality standards.
This is a freelance contractor assignment focused on scientific coding task creation and evaluation. The engagement is a focused short-term project requiring 20+ hours per week.
You will create technically rigorous programming content and assess the quality of AI-generated solutions. The work combines scientific writing, Python implementation, test design, structured review, and collaboration with project teams.
This role requires an advanced academic and technical background. You should be able to formulate difficult scientific problems precisely, implement dependable solutions, and judge whether code and model outputs meet rigorous scientific and software-quality standards.
Experience creating evaluation datasets, reviewing model-generated code, or working with scientific programming libraries is useful. Background in biology or another specialized STEM field is also relevant when developing domain-specific problems.
OpenTrain gives AI training professionals a place to develop and manage a credible record of specialized work. By building your profile and contributing to projects like this one, you can showcase your expertise, discover opportunities aligned with your skills, and grow toward a lasting career in AI training and data labeling. Creating an OpenTrain account is free.