Data Platform Engineer (Python)

🌍 Remote, USA 🎯 Full-time πŸ• Posted Recently

Job Description

About the position About the Job 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 β€” AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Responsibilities β€’ Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows β€’ Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control β€’ Improve reliability, performance, and safety across existing Python codebases β€’ Collaborate with data, research, and engineering teams to support model training and evaluation workflows β€’ Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes β€’ Participate in synchronous reviews to iterate on system design and implementation decisions Requirements β€’ Native or fluent English speaker β€’ Full-stack developer experience with a strong systems programming background β€’ 5+ years of professional experience writing production Python for data engineering. β€’ Proficiency with workflow orchestration tools to manage complex dependency graphs. β€’ Strong experience with data frame processing libraries and interacting with cloud data warehouses via Python SDKs. β€’ Clear written and verbal communication skills. β€’ Ability to commit 20–40 hours per week. Nice-to-haves β€’ Prior experience with data annotation , data quality, or evaluation systems β€’ Familiarity with AI/ML workflows, model training, or benchmarking pipelines β€’ Experience with distributed systems or developer tooling Apply tot his job

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