Data Platform Engineer (Python)

Data Platform Engineer (Python) 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, optimize, and maintain 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 experienced engineers who want meaningful, high-impact work — not busywork. You'll collaborate with world-class research and engineering teams on production systems that actually matter. 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 existing 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, production-ready fixes Participate in synchronous design reviews to iterate on system architecture and implementation decisions Who You Are Native or fluent English speaker with clear written and verbal communication Experienced full-stack developer with a strong systems programming background 5+ years of professional experience writing production Python for data engineering Proficient with workflow orchestration tools for managing complex dependency graphs Experienced with dataframe processing libraries and cloud data warehouse SDKs Able to commit 20–40 hours per week with reliability and consistency Nice to Have Prior experience with data annotation, data quality, or evaluation systems Familiarity with AI/ML workflows, model training, or benchmarking pipelines Experience with distr