Python Software Engineer - AI Workflows

Python Software Engineer — AI WorkflowsAbout The RoleWhat if your Python expertise could directly shape the infrastructure powering the next generation of AI? We're looking for senior full-stack Python engineers to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.This is a fully remote contract role working on real production systems — not toy projects. If you're a sharp engineer who wants to work at the frontier of AI development, this is the role for you.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 20–40 hours/weekWhat You'll DoDesign, 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 controlImprove reliability, performance, and safety across production Python codebasesIntegrate AI services and APIs with robust error handling and edge case coverageIdentify bottlenecks and failure modes in data and system behavior, then implement scalable solutionsCollaborate with data, research, and engineering teams to support model training and evaluation workflowsParticipate in synchronous design reviews to iterate on system architecture and implementation decisionsWho You Are3–5+ years of professional experience writing production-grade PythonStrong full-stack developer with a solid systems programming backgroundYou write clean, maintainable code and naturally reach for linters, formatters, and comprehensive test coverageExperienced gluing together AI services and APIs with confidence — you anticipate edge cases before they biteClear, direct communicator — both in writing and in technical discussionsNative or fluent English speakerAvailable to commit 20–40 hours per weekNice to HavePrior 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 labs or research teamsWhy Join UsWork on cutting-edge AI projects alongside leading research labs — real systems, real impactFully remote and async-friendly — work from wherever you do your best workFreelance autonomy with the structure of meaningful, technically challenging projectsContribute directly to the infrastructure that shapes how next-generation AI models are built and evaluatedPotential for ongoing work and contract extension as new projects launch