Python Software Engineer - AI Workflows

Company: Alignerr

Location: Seattle, WA (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-08-17

About this role

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 ...

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