Python Software Engineer - AI Workflows
About this role
About the Role What if your Python expertise could directly shape the infrastructure behind next-generation AI? We're looking for a senior full-stack Python engineer to build 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, flexible contract role for an experienced engineer who wants to work on real production systems at the cutting edge of AI — not toy projects, but high-impact infrastructure that influences how the world's most advanced models are built. - 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 - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, then implement scalable fixes - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - 3–5+ years of professional experience writing production-grade Python - Strong full-stack developer with a solid systems programming background - You write clean, maintainable code — linters, formatters, and testing frameworks are second nature - Experienced in integrating AI services and APIs, handling edge cases, and building robust error reporting - A clear communicator — both in writing and in synchronous discussions - Native or fluent English speaker - Available to commit 20–40 hours per week Nice to Have - Prior experience with data annotation, data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - 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 structure of meaningful, high-impact engineering work - Tackle real production challenges that directly shape how next-generation AI models are built - Potential for ongoing work and contract extension as new projects launch
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