In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for contributors with a strong background in Go as their primary language, and solid proficiency in Python and TypeScript as secondary skills.
Responsibilities
Design and implement code solutions using Go, Python, and TypeScript to simulate real-world development scenarios for AI model training.
Review, analyze, and critique sample code and technical materials, providing detailed written feedback that enhances AI understanding of software engineering concepts.
Generate high-quality code samples, unit tests, and documentation to support a wide range of AI training use cases.
Identify edge cases, best practices, and common pitfalls in software design and development to help refine model outputs.
Contribute to discussions and collaborative reviews that focus on effective communication of complex technical ideas.
Refine prompts and queries that will be used to evaluate and improve AI-generated code outputs.
Preferred skills
Expert-level proficiency in Go, with substantial hands-on project experience.
Strong command of Python and TypeScript, with the ability to write clean, idiomatic code in both languages.
Excellent written and verbal communication skills, with a keen focus on articulating technical concepts clearly.
Familiarity with software architecture, design patterns, and modern development workflows.
Prior experience reviewing or analyzing code for correctness, efficiency, and clarity.
Exposure to code documentation best practices and collaborative software projects.
Interest in contributing to AI and machine learning advancements; direct AI experience is a plus but not required.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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