Python Software Engineer - AI Workflows

About the role

Python Software Engineer — AI Workflows

About The Role

What if your Python expertise could directly shape the infrastructure powering next-generation AI models? We're looking for a Senior Python Full-Stack Engineer 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, flexible contract role for an experienced engineer who wants to work on real production systems at the frontier of AI development — not toy projects, but high-impact infrastructure that matters.

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 robustness across existing Python codebases

Collaborate with data, research, and engineering teams to support model training and evaluation

Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-grade fixes

Participate in synchronous design reviews and iterate on system architecture decisions

Who You Are

3–5+ years of professional experience writing production-grade Python

Full-stack developer with a strong systems programming background

Writes clean, maintainable code with proper use of linters, formatters, and testing frameworks

Experienced integrating AI services and APIs, handling edge cases, and ensuring robust error reporting

Clear and effective written and verbal communicator

Native or fluent English speaker

Able to commit 20–40 hours per week consistently

Nice to Have

Prior experience with data annotation, data quality pipelines, or evaluation systems

Familiarity with AI/ML workflows, model training, or benchmarking infrastructure

Experience with distributed systems or developer tooling at scale

Why Join Us

Work directly with leading AI research labs on production systems that matter

Fully remote and flexible — work from wherever you do your best thinking

Freelance autonomy with the structure and purpose of high-impact, technically challenging work

Get hands-on experience at the cutting edge of AI infrastructure before it becomes mainstream

Potential for ongoing work and contract extension as projects evolve and new ones launch