Coding Specialist - AI Trainer

Remote-

Ryz Labs

Unlock the power of LatAm's elite nearshore talent with Ryz Labs. Our top-tier staff augmentation services provide access to the brightest minds in software development, IT, sales, ops, and CS. Elevate your team and achieve unparalleled results...

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We are seeking for a Coding Specialist - AI Tutor, you will play a pivotal role in advancing AI-assisted programming by evaluating and refining outputs from large language models (LLMs). Your deep knowledge of software engineering, programming languages, and computer systems will be critical in ensuring that model-generated code is accurate, reliable, and educationally valuable. This role is ideal for experienced engineers passionate about blending AI, software development, and educational design.
Responsibilities:- Evaluate, debug, and enhance AI-generated code across multiple programming languages, including Python, Rust, JavaScript, C/C++, Java, and Go.- Ensure code quality aligns with best practices for readability, performance, scalability, and correctness.- Curate coding problems and write clean reference implementations, annotating model outputs as needed.- Develop comprehensive technical documentation to assist models in learning and replicating expert coding methods.- Collaborate with AI researchers and engineers to identify code generation blind spots and annotation inconsistencies.- Stay updated with modern software development practices and emerging AI tools.
Qualifications:- Advanced proficiency in English, especially for technical communication.- Proficiency in at least one major programming language (Python, Rust, JavaScript, C/C++, Java, or Go) with a strong foundation in software engineering principles.
Bonus Expertise:- 2+ years of professional experience in software development or systems engineering.- Familiarity with tools and environments such as SQL, Kubernetes, Spark, Kafka, gRPC, AWS, and related systems.- Contributions to open source projects or a strong online presence on platforms like GitHub or StackOverflow.- Experience in computer science competitions (e.g., ICPC, Codeforces).- Experience with prompt engineering or LLM-based development tools.- Teaching, mentoring, or curriculum development experience in computer science or software engineering.- Knowledge of AI model training pipelines or human-in-the-loop feedback systems.
About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.
Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.
At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.
Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Deep Learning Jobs

Tags: AWS Computer Science Engineering GitHub Java JavaScript Kafka Kubernetes LLMs Model training Open Source Pipelines Prompt engineering Python Rust Spark SQL Teaching

Perks/benefits: Career development Startup environment

Region: Remote/Anywhere

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