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Python Software Engineer - AI Workflows

Alignerr

Denver, CO โ€ข On-site

Other

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Job description

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