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Python Insfrastructure Engineer - Model Evaluation
Python Insfrastructure Engineer - Model EvaluationAlignerr • New York, NY, United States
Python Insfrastructure Engineer - Model Evaluation

Python Insfrastructure Engineer - Model Evaluation

Alignerr • New York, NY, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

About the Job

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

Position

Senior Python Full-Stack Engineer - AI Data & Infrastructure

Type : Contract, Remote Commitment : 20-40 hours / week Compensation : Competitive, hourly (based on experience)

Role Responsibilities

  • Design, build, and optimize high-performance systems in Python 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, and implement scalable fixes
  • Participate in synchronous reviews to iterate on system design and implementation decisions

Qualifications

Must-Have

  • Native or fluent English speaker
  • Full-stack developer experience with a strong systems programming background
  • 3-5+ years of professional experience writing production Python.
  • Experience building evaluation harnesses for ML models, integrating with inference frameworks.
  • Strong background in observability and metrics collection to monitor system reliability and model performance.
  • Clear written and verbal communication skills.
  • Ability to commit 20-40 hours per week.

    • Preferred

  • 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

    • Application Process

  • Submit your resume
  • Complete a short technical screening
  • Project matching and onboarding

    • $50 - $75 an hour

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