Python Software Engineer - AI Workflows

Python Software Engineer — AI Workflows About The Role What if your Python expertise could directly shape the infrastructure powering the next generation of AI? We're looking for senior Python engineers to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — production-grade work that makes a real difference in how AI models are trained and improved. This is a fully remote contract role with flexible hours. If you're a strong Python engineer who wants to work on genuinely interesting infrastructure problems at the frontier of AI development, this is built for you. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 20–40 hours/week What You'll Do Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflowsDevelop full-stack tooling and backend services for large-scale data annotation, validation, and quality controlIdentify and resolve bottlenecks, edge cases, and reliability issues across existing codebasesImprove performance, safety, and maintainability across Python infrastructure used in real AI production environmentsCollaborate with data, research, and engineering teams to support model training and evaluation workflowsParticipate in synchronous design reviews and iterate on system architecture and implementation decisions Who You Are Native or fluent English speaker with clear written and verbal communicationFull-stack developer with a strong systems programming background3–5+ years of professional experience writing production-grade PythonDisciplined about code quality — you naturally reach for linters, formatters, and comprehensive test coverageExperienced integrating AI services and third-party APIs, with solid instincts for error handling and edge case managementAble to commit 20–40 hours per week with reliability and consistency Nice to Have Prior experience with data annotation, data quality, or evaluation systemsFamiliarity with AI/ML workflows, model training, or benchmarking pipelinesExperience with distributed systems or developer toolingBackground working directly with AI research teams or labs Why Join Us Work on real production systems powering cutting-edge AI at leading research labsFully remote and flexible — structure your week the way that works for youMeaningful, high-impact engineering work — not maintenance tickets, but systems that matterFreelance autonomy with the substance and scope of serious engineering workPotential for ongoing work and contract extension as new projects launch