- Singapore
Working Location
Job Description
Responsibilities
Creates clear, accurate documentation that helps developers, customers, and internal teams understand and use AI and machine learning products. Works with engineers, data scientists, product managers, support teams, and subject matter experts to gather information about system behavior, product capabilities, workflows, and limitations. Turns technical details into practical guidance for the intended audience.
Develops and maintains materials such as API references, setup instructions, tutorials, code examples, model guides, architecture overviews, troubleshooting steps, release notes, and frequently asked questions. Organizes documentation so readers can find information easily and complete tasks without unnecessary assistance. For developer-focused content, may document authentication, requests and responses, SDKs, configuration, error handling, deployment, and integration patterns.
For AI and machine learning topics, explains concepts such as model inputs and outputs, data requirements, evaluation methods, prompts, retrieval, deployment, and performance considerations. Takes care to describe what a system can and cannot do, identify relevant assumptions, and document known limitations. May test procedures and code samples directly to confirm that they work as written, and coordinates reviews with technical teams to verify accuracy.
Maintains documentation as products, APIs, models, and workflows change. Establishes or follows style and terminology guidelines, manages content through review and publication workflows, and tracks feedback to identify gaps or confusing material. May also support documentation for responsible AI practices, privacy and security guidance, model evaluation, or operational procedures, depending on the product and organization.
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