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