Data Platform Engineer (Python)
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About The RoleWhat if your Python expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Python Full-Stack Engineer to build and optimize 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, flexible contract role for an experienced engineer who wants meaningful, high-impact work at the cutting edge of AI development.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, then implement scalable, production-ready fixesParticipate in synchronous design reviews to iterate on 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-grade Python for data engineeringProficient with workflow orchestration tools for managing complex dependency graphsExperienced with dataframe processing libraries and cloud data warehouses via Python SDKsSelf-directed and reliable — able to commit 20–40 hours per week consistentlyNice 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 toolingWhy Join UsWork on production systems and high-impact workflows directly used by leading AI research labsFully remote and flexible — work when and where you do your best workFreelance autonomy with the structure of real, meaningful engineering challengesContribute to AI infrastructure that shapes the future of model development at scalePotential for ongoing work and contract extension as projects grow and evolve