Python Software Engineer - AI Workflows

Python Software Engineer — AI Workflows About the Role What if your Python expertise could directly shape the infrastructure behind the world's most advanced AI systems? We're looking for senior full-stack Python engineers to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — working on real production code with genuine, measurable impact. This is a fully remote, flexible contract role designed for experienced engineers who want meaningful technical work without the overhead of a full-time commitment. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 20–40 hours/week What You'll Do Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control Improve reliability, performance, and safety across production Python codebases Collaborate with data, research, and engineering teams to support model training and evaluation workflows Identify bottlenecks and edge cases in data and system behavior, then implement scalable, robust fixes Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are 3–5+ years of professional experience writing production-grade Python Strong full-stack developer with a systems programming background Writes clean, maintainable code — you care about linting, formatting, and comprehensive test coverage Experienced gluing together AI services and APIs, handling edge cases, and ensuring robust error reporting Clear, concise written and verbal communicator Fluent English speaker able to collaborate effectively in an async remote environment Able to commit 20–40 hours per week consistently Nice to Have Prior experience with data annotation, data quality, or evaluation systems Familiarity with AI/ML workflows, model training, or benchmarking pipelines Ex