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Infographic showing various Backend Python Developer job openings at Alignerr in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Physical job distribution.

Principal Python Engineer - ML Infrastructure

Alignerr

Denver, CO • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Principal Python Engineer - ML Infrastructure (AI Training)
About the Role
What if your Python expertise could directly shape the infrastructure powering some of the world's most advanced AI systems? We're looking for a Principal Python Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on - working on real production code with meaningful, measurable impact.
This is a fully remote, flexible contract role for a senior engineer who thrives at the intersection of systems programming, distributed computing, and AI infrastructure.
  • 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 large-scale AI data pipelines and model evaluation workflows
  • Develop full-stack backend tooling and services for data annotation, validation, and quality control at scale
  • Diagnose and resolve bottlenecks across compute-heavy, distributed systems using advanced async patterns and profiling techniques
  • Improve reliability, safety, and performance across existing production Python codebases
  • Collaborate closely with data, research, and engineering teams to accelerate model training and evaluation cycles
  • Drive architectural decisions through synchronous design reviews and clear technical communication
Who You Are
  • 5+ years writing production Python for large-scale infrastructure or platform engineering
  • Deep expertise in distributed computing, concurrency, and advanced asynchronous programming patterns
  • Fluent in Python internals - including GIL limitations, memory profiling, and performance optimization for compute-heavy workloads
  • Experienced full-stack developer with a strong systems programming background
  • Clear, confident communicator capable of driving technical strategy and architectural decisions
  • 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
  • Background in distributed systems architecture or developer tooling
  • Exposure to working directly with AI research teams or labs
Why Join Us
  • Work on real, high-impact production systems used by leading AI research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the depth and structure of meaningful, long-term technical work
  • Collaborate with top engineers and researchers at the frontier of AI development
  • Potential for ongoing work and contract extension as new projects launch

Apply