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 technical challenges, flexible hours, and the opportunity to work on production systems that sit 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 large-scale AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale - Improve the reliability, performance, and safety of existing Python codebases - Collaborate with data, research, and engineering teams to support model training and evaluation infrastructure - Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-ready 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-grade Python - Deep understanding of performance optimization and concurrency — asyncio, multiprocessing, threading - Comfortable with type safety tooling such as Pydantic and mypy - Experienced building robust backend services (FastAPI, Django, or similar) or scalable data pipelines - Able to commit 20–40 hours per week with 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 - Background working alongside research or applied ML teams Why Join Us - Work directly on production AI infrastructure used by leading research labs - Fully remote and flexible — work from anywhere on a schedule that suits you - Freelance autonomy paired with technically meaningful, high-impact work - Collaborate with sharp engineers and researchers at the cutting edge of AI - Potential for ongoing work and contract extension as projects evolve and expand
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