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7 Alignerr Python Engineer Jobs Hiring Near You

Alignerr

Applied Physics

Chicago, IL · Remote

Alignerr * Type : Hourly Contract * Location : Remote * Commitment : 10-40 hours/week What You'll ... Hold a PhD (completed or near-completion) in Applied Physics, Physics, Engineering Physics, or a ...

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Python Insfrastructure Engineer - Model Evaluation

Alignerr

Seattle, WA • Remote

Other

Posted 3 days ago

Job description

Python Infrastructure Engineer - Model Evaluation (AI Training)
About the Role
What if your Python expertise could directly shape how the world's most advanced AI models are built, tested, and improved? We're looking for a Senior Python Infrastructure Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and validate next-generation models.
This is a fully remote contract role with flexible hours - you'll be working on real production systems at the cutting edge of AI development.
  • 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 model evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Build and maintain evaluation harnesses for ML models, integrating with inference frameworks
  • Improve reliability, performance, and safety across existing Python codebases
  • Implement observability, metrics collection, and monitoring to track system reliability and model performance
  • Identify bottlenecks and edge cases in data and system behavior, and ship scalable fixes
  • 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
  • Native or fluent English speaker with clear written and verbal communication skills
  • Full-stack developer with a strong systems programming background
  • 3-5+ years of professional experience writing production-grade Python
  • Experienced building evaluation harnesses for ML models and integrating with inference frameworks
  • Strong background in observability, metrics collection, and system reliability monitoring
  • Able to commit 20-40 hours per week consistently
  • Self-directed and comfortable working asynchronously across distributed teams
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 in MLOps, infrastructure engineering, or platform engineering
Why Join Us
  • Work on real production systems powering some of the most advanced AI research in the world
  • Fully remote and flexible - structure your work around your life
  • Freelance autonomy with the depth and meaning of high-impact engineering work
  • Contribute directly to AI infrastructure that shapes how next-generation models are built and evaluated
  • Potential for ongoing work and contract extension as new projects launch

Apply