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Vetto is a tech company focused on building and scaling high-quality datasets for artificial intelligence systems. We work at the intersection of human expertise and AI, ensuring that models are trained on technically accurate, well-defined, and realistic data.
Our projects support the training and evaluation of Large Language Models (LLMs), where technical rigor and correctness are non-negotiable.
This project focuses on the technical review and validation of coding tasks used to train AI models.
Automated code is generated in response to software engineering prompts, and your role is to evaluate whether that code is correct and truly solves what was asked.
The core questions you will be answering on every task:
Tests are treated as the mechanism of truth in this context. Mistakes here propagate at scale into AI systems, error criticality is high.
Tasks in this project involve code written across multiple languages. You will be expected to review and evaluate tasks in any of the following: Python, JavaScript / TypeScript, Go, Rust, and Java.
Strong command of at least two of these languages is required. Breadth across languages is a plus.
This role is designed for mid/senior-level software engineers with real professional experience.
Technical requirements
Nice to have
This is expert, task-based technical work focused on analysis, validation, and judgment — not code production. Each task takes approximately 30 minutes. Tasks are reviewed under continuous QA and calibration.
Compensation is in the range of $100 per hour (task-equivalent reference), varying based on task complexity and approved volume.
The selection process is fully asynchronous and based on your application. There are no interviews: we evaluate candidates through their background, screening responses, and a short technical exercise focused on code review and test validation.
This role is not about writing more code. It is about technical judgment, rigor, and responsibility.
If you are comfortable challenging problem definitions, questioning tests that "pass but are wrong", and acting as a technical quality gate, this project is for you!
Originally posted on Himalayas
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