Data Platform Engineer (Python)

Seattle

**About The Role** What 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: 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 architecture and implementation decisions **Who You Are** * Native or fluent English speaker with clear written and verbal communication skills * Full-stack developer with a strong systems programming background * 5+ years of professional experience writing production-grade Python for data engineering * Proficient with workflow orchestration tools for managing complex dependency graphs * Experienced with dataframe processing libraries and cloud data warehouses via Python SDKs * Self-directed and reliable --- able to commit 20--40 hours per week consistently **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 distributed systems or developer tooling **Why Join Us** * Work on production systems and high-impact workflows directly used by leading AI research labs * Fully remote and flexible --- work when and where you do your best work * Freelance autonomy with the structure of real, meaningful engineering challenges * Contribute to AI infrastructure that shapes the future of model development at scale * Potential for ongoing work and contract extension as projects grow and evolve