Python Software Engineer - AI Workflows

Python Software Engineer — AI Workflows

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