Freelance AI Evaluation Engineer (Python/Full-Stack)

Mindrift; Brasil; Teletrabalho; BRL 101 581 - 144 676; Tempo parcial

Resumo da oferta

A leading AI project-based company in Brazil is seeking experienced developers for part-time opportunities focused on creating and testing AI coding tasks. Ideal candidates will have significant software development experience, particularly in Python, and a strong background in full-stack development. You will be responsible for designing rigorous testing scenarios and analyzing AI performance. Flexible working hours are offered, with compensation up to $17 per hour based on contribution levels.

Qualificações

• 5+ years in software development, primarily Python.
• Experience writing functional and integration tests.
• Background in full-stack development with React.

Responsabilidades

• Review and refine coding tasks for AI systems.
• Write functional tests that validate end-to-end behavior.
• Analyze AI failures to understand model performance.

Conhecimentos

Python

Test Automation

Full-Stack Development

Docker

CI/CD (GitHub Actions)

English proficiency (B2)

Formação académica

Degree in Computer Science, Software Engineering or related fields

Descrição da oferta de emprego

Overview

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What This Opportunity Involves

You'll create challenging coding test cases that push AI coding systems to their limits:

• Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources
• Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks
• Craft "fair but hard" challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required)
• Analyze AI failures to understand what the model struggles with vs. what it masters
• Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria

What We Look For

This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Computer Science, Software Engineering or related fields
• 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations)
• Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems
• Experience writing tests (functional, integration - not just running them)
• Docker containers (running evaluations locally in containers)
• CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results)
• English proficiency - B2

How It Works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Effort estimate

Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.