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Jobs / Alignerr

Principal Python Engineer: ML Infrastructure

up to $75/hr

source wording: “$50-75/hr”

Platform
Alignerr
Category
Coding & software eval
Eligibility
United States
Freshness
seen live 56 min ago

What this role asks for

  • 20–40 hrs/week
  • 5+ yrs experience
  • Python
  • Annotation
Read from the posting's own words: show the exact sentences
  • 20–40 hrs/week: “…Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do * Design, build, and optimize high-performance Python systems that…”
  • 5+ yrs experience: “…full-stack developer with a strong systems programming background * 5+ years of professional experience writing production Python for large-scale infrastructure or platform engineering * Deep…”
  • Python: “Principal Python Engineer — ML Infrastructure (AI Training) About the Role What if your Python…”
  • Annotation: “…* Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control * Improve reliability, performance, and safety across…”

The role, as Alignerr describes it

Principal Python Engineer — ML Infrastructure (AI Training)

About the Role

What if your Python expertise could directly shape the infrastructure that powers the most advanced AI systems in the world? We're looking for a Principal Python Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — real production work with real impact at scale.

This is a fully remote, flexible contract role for a seasoned engineer who thrives in high-performance, distributed environments and wants to work on problems that matter.

- Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week

What You'll Do

Read the rest of the description (7 more paragraphs)

* Design, build, and optimize high-performance Python systems that power 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 * Identify bottlenecks and edge cases in data and system behavior — then implement scalable, elegant fixes * Collaborate with data, research, and engineering teams to support model training and evaluation workflows * Drive architectural and system design decisions through synchronous technical reviews

Who You Are

* Native or fluent English speaker with strong written and verbal communication skills * Senior full-stack developer with a strong systems programming background * 5+ years of professional experience writing production Python for large-scale infrastructure or platform engineering * Deep expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns * Intimately familiar with Python internals — GIL limitations, memory profiling, and performance optimization for compute-heavy workloads * Able to drive technical strategy and architectural decisions clearly and confidently * Available to commit 20–40 hours per week

Nice to Have

* Prior experience with data annotation, data quality, or model evaluation systems * Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure * Experience with distributed systems architecture or internal developer tooling

Why Join Us

* Work directly with leading AI research labs on production systems that shape next-generation models * Fully remote and flexible — structure your work around your life, not the other way around * Freelance autonomy with the substance of high-impact, technically demanding work * Collaborate with top engineers and researchers on problems at the frontier of AI infrastructure * Potential for ongoing engagement and expanded scope as projects grow

Posted by Alignerr, reproduced here so you can judge the role before clicking. Original posting ↗

Apply on Alignerr ↗

Source: platform job feed · first seen 56 min ago · ID 28374995-c8cf-4eae-93a9-4905c6c40c12

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