Data Platform Engineer (Python)
About this role
About the Role What if your Python expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve next-generation models. This is a fully remote, flexible contract role for experienced engineers who want to work on real production systems — not toy projects — 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, and implement scalable, production-grade 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 Python for data engineering - Proficient with workflow orchestration tools for managing complex dependency graphs - Experienced with dataframe processing libraries and cloud data warehouse integrations via Python SDKs - Able to commit 20–40 hours per week with reliability and consistency Nice to Have - Prior experience with data annotation, data quality pipelines, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking infrastructure - Experience with distributed systems or developer tooling Why Join Us - Work directly with leading AI labs on systems that influence how next-generation models are built - Fully remote and flexible — work from anywhere, on a schedule that suits you - Tackle genuinely hard, high-impact engineering problems — not maintenance tickets - Collaborate with a sharp, distributed team of engineers and researchers - Potential for ongoing work and contract extension as new projects launch
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