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 Python engineers to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — production-grade work that makes a real difference in how AI models are trained and improved.
This is a fully remote contract role with flexible hours. If you're a strong Python engineer who wants to work on genuinely interesting infrastructure problems at the frontier of AI development, this is built 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
Identify and resolve bottlenecks, edge cases, and reliability issues across existing codebases
Improve performance, safety, and maintainability across Python infrastructure used in real AI production environments
Collaborate with data, research, and engineering teams to support model training and evaluation workflows
Participate in synchronous design reviews and iterate on system architecture and implementation decisions
Who You Are
Native or fluent English speaker with clear written and verbal communication
Full-stack developer with a strong systems programming background
3–5+ years of professional experience writing production-grade Python
Disciplined about code quality — you naturally reach for linters, formatters, and comprehensive test coverage
Experienced integrating AI services and third-party APIs, with solid instincts for error handling and edge case management
Able to commit 20–40 hours per week with reliability and consistency
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 research teams or labs
Why Join Us
Work on real production systems powering cutting-edge AI at leading research labs
Fully remote and flexible — structure your week the way that works for you
Meaningful, high-impact engineering work — not maintenance tickets, but systems that matter
Freelance autonomy with the substance and scope of serious engineering work
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes