About Vetto

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.

About the Project

This project focuses on the technical review and validation of coding tasks used to train AI models. Coding challenges are generated automatically by AI, and your role is to evaluate quality of the challenge.

The core questions you will be answering on every task:
- Are the requirements well defined?
- Are the associated tests correctly validating the requirements?

Tests are treated as the mechanism of truth in this context. Mistakes here propagate at scale into AI systems — error criticality is high.

Languages

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

- Java

Responsibilities

Evaluate whether the coding task itself is clearly and correctly defined
Validate whether tests accurately reflect whether the problem has been solved
Determine whether a solution that passes the tests genuinely solves the underlying problem
Apply strict technical criteria and quality standards consistently across tasks

Required Profile

This role is designed for mid/senior-level software engineers with real professional experience.

Technical requirements
- Proven professional experience in software development (production environments)
- Experience reviewing and evaluating code written by other engineers
- Solid understanding of automated testing — how tests validate (or fail to validate) behavior
- Experience contributing to or working with open source projects
- High attention to detail and strong technical judgment
- Comfortable working fully in English (reading and writing)

Nice to have
- Experience with test-driven development (TDD) or test design

- Familiarity with large or complex codebases

Project Details

This is expert, task-based technical work focused on analysis, validation, and judgment — not code production.

Selection Process

The selection process is fully asynchronous and consists of two phases:

Phase 1 — Application
Submit your profile through the application form. We evaluate candidates based on their professional background, open source contributions, and screening responses. There are no interviews.

Phase 2 — Technical Exercise
Shortlisted candidates will receive a short technical exercise consisting of real coding tasks in the languages they selected. The exercise simulates the actual work: you will review generated code and assess whether it correctly solves the problem and whether the associated tests are valid. Performance on this exercise is the primary selection criterion.

Candidates who pass both phases will be onboarded directly into the project.

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.