$40-120/hrAs published by the platform.
This remote contract role involves running code written by AI, checking whether it behaves as intended, and recording bugs and quality issues in structured reports. It suits people who can read and run simple programs in at least one language and think logically, without needing a formal QA or computer science background.
$40-120/hr
Pay as published by the platform. It is not a guarantee of income or hours.
The platform has not published which countries are eligible for this job.
You apply on Alignerr, Labelbox's expert network: create a profile, complete an AI-led interview and skills assessment, then get matched to projects in your field.
Official posting: https://www.alignerr.com/jobs/22aaaf98-6f0a-4fe9-a1eb-1c9b1e7463b0
Last checked on October 8, 2026.
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.
This role involves evaluating and providing feedback on AI-generated Python code while designing complex algorithmic challenges to test AI reasoning capabilities. Senior Python developers will work remotely on flexible contracts to help advance AI systems' ability to write and understand production-level code.
This role involves evaluating AI models' ability to generate secure code by identifying vulnerabilities, testing their security reasoning, and writing corrections when they fail. It suits security engineers and cybersecurity professionals who can spot weaknesses in authentication, cryptography, input handling, and secret management that automated tools miss.
Evaluate how AI models handle DevOps tasks such as CI/CD pipelines, infrastructure-as-code, and cloud operations. Identify failures in automation, security configurations, and deployment processes, then write correct solutions that a platform engineer would trust.
Research role focused on evaluating code generation by LLMs: designing evaluation frameworks and criteria.
Referral link to micro1's job list: search for this role there. Open this exact job
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
