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 most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to build 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, flexible contract role working on real production systems — not toy projects. If you're a seasoned Python engineer who thrives on high-impact, technically challenging work, this is where your skills belong. - 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 - Identify and eliminate bottlenecks, edge cases, and reliability issues across production codebases - Collaborate closely with data, research, and engineering teams to support model training and evaluation infrastructure - Improve safety, performance, and maintainability of existing systems - Participate in synchronous design reviews and iterate on system architecture with expert colleagues Who You Are - Native or fluent English speaker with strong written and verbal communication skills - Full-stack developer with a solid systems programming background - 5+ years of professional experience writing production-grade Python - Deep understanding of performance optimization and concurrency — asyncio, multiprocessing, threading — and type safety tools like Pydantic and mypy - Proven experience building robust backend services (FastAPI, Django, or similar) or scalable data pipelines - Able to commit 20–40 hours per week with reliability and professionalism Nice to Have - Prior experience with data annotation platforms, data quality workflows, or evaluation systems - Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure - Experience with distributed systems, developer tooling, or MLOps Why Join Us - Work directly with leading AI research labs on systems that matter - Fully remote and flexible — structure your hours around your life - Freelance autonomy with the depth and consistency of meaningful, long-term technical work - Collaborate with a sharp, technically rigorous team on genuinely hard engineering problems - Potential for ongoing work and contract extension as projects scale
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