Data Platform Engineer (Python)

About The RoleWhat if your Python expertise could directly shape the infrastructure that trains and evaluates the most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on.This is a fully remote, flexible contract role for an experienced engineer who thrives on high-impact, technically challenging work. If you've spent years building production Python systems and want to apply that experience at the frontier of AI development — this is the role.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 existing Python codebasesCollaborate with data, research, and engineering teams to support model training and evaluation workflowsIdentify bottlenecks and edge cases in data and system behavior, and implement scalable, production-ready fixesParticipate in synchronous design reviews to iterate on system architecture and implementation decisionsWho You AreNative or fluent English speaker with clear written and verbal communication skillsFull-stack developer with a strong systems programming background5+ years of professional experience writing production Python for data engineeringProficient with workflow orchestration tools to manage complex dependency graphsExperienced with dataframe processing libraries and cloud data warehouse SDKs in PythonSelf-directed and reliable — able to commit 20–40 hours per week and deliver consistentlyNice to HavePrior experience with data annotation, data quality, or model evaluation systemsFamiliarity with AI/ML workflows, model training pipelines, or benchmarking infrastructureExperience with distributed systems or developer toolingBackground working with or alongside AI research teamsWhy Join UsWork on real production systems used by leading AI research labsFully remote and async-friendly — work from wherever you do your best workFreelance autonomy with the structure and consistency of ongoing project-based workMake a tangible impact on the infrastructure powering next-generation AI modelsPotential for extended engagement and additional projects as the work evolves