Data Platform Engineer (Python)

Data Platform Engineer (Python) Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior Python Full-Stack Engineer AI Data & Infrastructure Type: Contract, Remote Commitment: 2040 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities Design, build, and optimize high-performance systems in Python 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 fixes Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have Native or fluent English speaker Full-stack developer experience with a strong systems programming background 5+ years of professional experience writing production Python for data engineering. Proficiency with workflow orchestration tools to manage complex dependency graphs. Strong experience with data frame processing libraries and interacting with cloud data warehouses via Python SDKs. Clear written and verbal communication skills. Ability to commit 2040 hours per week. Preferred 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 Application Process Submit your resume Complete a short technical screening Project matching and onboarding