Senior Python Full-Stack Engineer — AI Data & Infrastructure
About this role
About the Role What if your Python expertise could directly shape the infrastructure behind the world's most advanced AI systems? 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 next-generation models. This is a fully remote contract role with meaningful, high-impact work — not filler tasks. You'll be working on real production systems alongside data, research, and engineering teams at the frontier 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 model 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 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 - Experienced full-stack developer with a strong systems programming background - 5+ years of professional experience writing production-grade Python - Deep understanding of performance optimization and concurrency — asyncio, multiprocessing, threading - Comfortable with type safety tooling such as Pydantic and mypy - Proven track record building robust backend services (FastAPI, Django) or scalable data pipelines - Able to commit 20–40 hours per week consistently Nice to Have - Prior experience with data annotation, data quality systems, or model evaluation infrastructure - Familiarity with AI/ML workflows, model training pipelines, or benchmarking systems - Experience with distributed systems or developer tooling Why Join Us - Work on cutting-edge AI infrastructure alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the depth and impact of a senior engineering role - Contribute directly to systems that shape how next-generation AI models are built and evaluated - Potential for ongoing work and contract extension as new projects launch
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