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# Go/Golang Engineer -AI Training - Remote

- **Company:** YO IT CONSULTING
- **Location:** Madrid, Spain (Remote available)
- **Salary:** €40,000.0 - €60,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Profiling, Code Review, Computer Programming, Open Source Technology, Performance Tuning, Software Engineering, Large Language Models, Backend, Information Technology, Api Design, Golang
- **Published:** July 20, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

flexibility of impactful, detail-oriented remote contract work. Your Profile

 + 2+ years of professional Go programming experience, ideally focused on backend services, APIs, or systems work.
 + Strong understanding of Go idioms, including clear error handling, composition over inheritance, and simple, readable interfaces.
 + Hands-on software engineering experience building and maintaining backend-style Go applications in production environments.
 + Ability to evaluate correctness and readability in backend-oriented Go code, including concurrency patterns, error propagation, and API design.
 + Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output.
 + Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations.
 + Minimum Bachelor's degree in Computer Science or a closely related technical field.
 + Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required.
 + Highly preferred: hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects.
 + Preferred: merged PRs in Go open-source projects, competitive programming experience, cloud-native development exposure, and familiarity with Go performance profiling tools and techniques.

## Description

+ Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
 + Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
 + Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
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