Python Software Engineer - AI Workflows

Python Software Engineer — AI Workflows 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