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 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