Data Platform Engineer (Python)

Seattle

**About The Role** What 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: 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, and 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 skills * 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 to manage complex dependency graphs * Experienced with dataframe processing libraries and cloud data warehouse SDKs in Python * Self-directed and reliable --- able to commit 20--40 hours per week and deliver consistently **Nice to Have** * Prior experience with data annotation, data quality, or model evaluation systems * Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure * Experience with distributed systems or developer tooling * Background working with or alongside AI research teams **Why Join Us** * Work on real production systems used by leading AI research labs * Fully remote and async-friendly --- work from wherever you do your best work * Freelance autonomy with the structure and consistency of ongoing project-based work * Make a tangible impact on the infrastructure powering next-generation AI models * Potential for extended engagement and additional projects as the work evolves