Python Insfrastructure Engineer - Model Evaluation

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