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.

Senior Python Full‑Stack Engineer — AI Data & Infrastructure

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

• 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

• 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.

• 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

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

$50 - $75 an hour