Senior Python Full-Stack Engineer — AI Data & Infrastructure
About this role
About the Role What if your Python expertise could directly shape the infrastructure powering the next generation of AI? 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 their models. This is a fully remote contract role for a seasoned engineer who wants meaningful, high-impact work — not just another CRUD app. You'll work on real production systems at the frontier of AI development, collaborating with data, research, and engineering teams who are building things that matter. - 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 - Identify bottlenecks and edge cases in data and system behavior, then implement scalable, production-ready fixes - Collaborate with research and engineering teams to support model training and evaluation workflows - 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 - Experienced with type safety tools like Pydantic and mypy - Proven track record building robust backend services (FastAPI, Django) or scalable data pipelines - Able to commit 20–40 hours per week with reliability and consistency Nice to Have - Prior experience with data annotation, data quality systems, or evaluation pipelines - Familiarity with AI/ML workflows, model training, or benchmarking infrastructure - Experience with distributed systems or developer tooling - Background working directly with or alongside AI research teams Why Join Us - Work at the frontier of AI — your code directly influences how next-generation models are built and evaluated - Fully remote and async-friendly — work from wherever you do your best work - Collaborate with top-tier AI labs on high-impact, technically challenging problems - Freelance autonomy with consistent, structured work and clear deliverables - Potential for ongoing work and contract extension as projects grow and evolve
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