Python Software Engineer - AI Workflows
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 senior full-stack Python engineers to design and 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 contract role working on real production systems — not toy projects. If you're a sharp engineer who wants to work at the frontier of AI development, this is the role for you. - 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 production Python codebases - Integrate AI services and APIs with robust error handling and edge case coverage - Identify bottlenecks and failure modes in data and system behavior, then implement scalable solutions - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Participate in synchronous design reviews to iterate on system 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 and naturally reach for linters, formatters, and comprehensive test coverage - Experienced gluing together AI services and APIs with confidence — you anticipate edge cases before they bite - Clear, direct communicator — both in writing and in technical 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 - Background working directly with AI labs or research teams Why Join Us - Work on cutting-edge AI projects alongside leading research labs — real systems, real impact - Fully remote and async-friendly — work from wherever you do your best work - Freelance autonomy with the structure of meaningful, technically challenging projects - Contribute directly to the infrastructure that shapes how next-generation AI models are built and evaluated - Potential for ongoing work and contract extension as new projects launch
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