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