$25-70/hrAs published by the platform.
This contract role asks experienced game developers to build small game projects and interactive scenes in a major engine, then seed them with realistic bugs and multi-system feature challenges. The work produces tasks, reference solutions and success criteria that help train AI systems to analyze, play and develop games. No prior AI experience is needed, and developers from AAA, indie or solo backgrounds are invited to apply.
$25-70/hr
Pay as published by the platform. It is not a guarantee of income or hours.
Open to residents of: Bangladesh, Hong Kong SAR China, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestinian Territories, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia.
You apply on micro1: create an account, complete a screening interview with its AI interviewer, then join its vetted expert network to be matched to projects.
Official posting: https://jobs.micro1.ai/post/190225df-d67a-402d-bd7f-d9c7c40bb693
Last checked on October 9, 2026.
This role involves designing and optimizing Python-based backend systems for data annotation, validation, and AI model training infrastructure. The position requires a senior full-stack engineer to build high-performance data pipelines, asynchronous task queues, and evaluation systems used by leading AI labs.
This role involves evaluating and providing feedback on AI-generated Python code for correctness, efficiency, and security while designing complex backend algorithmic solutions. It is designed for experienced backend Python developers who want to contribute to cutting-edge AI research by helping train the next generation of AI systems to write better code.
Backend engineers will evaluate how AI models reason about system design, data modeling, and API contracts, identifying failures like race conditions and N+1 queries that only surface under real load. The role involves stress-testing model-generated backend code and writing correct solutions when models fall short, with explicit attention to scaling and consistency trade-offs.
Evaluate and stress-test user interfaces built by AI models to identify frontend failures in components, state management, accessibility, and rendering. Write correct implementations when models fall short, providing the training signal through clear technical explanations of what works and what breaks.
This is a paid evaluation role for database engineers who will design realistic tasks that test how well AI agents handle database work. Each task is a self-contained problem with a reproducible environment, a working reference solution, tests, and grading criteria that separate robust engineering from code that only looks correct. It is aimed at experts with deep database-engine internals experience, not at DBA, SQL analytics, or ETL-only profiles.
Posted October 6, 2026
Evaluation of AI model outputs against correctness, maintainability, security, and production readiness criteria, accessible to early-to-mid career professionals.
