Senior Python Full-Stack Engineer - AI Data & Infrastructure

Qualifications

• Native or fluent English speaker
• Full-stack developer experience with a strong systems programming background
• 5+ years of professional experience writing production Python
• Strong background in performance optimization and concurrency (e.g., asyncio, multiprocessing, threading) and type safety (e.g., Pydantic, mypy)
• Experience building robust backend services (using frameworks like FastAPI or Django) or scalable data pipelines
• Clear written and verbal communication skills
• Ability to commit 20-40 hours per week

Benefits

• Type: Contract, Remote Commitment: 20-40 hours/week Compensation: Competitive, hourly (based on experience)
• $50 - $75 an hour

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
• Complete a short technical screening
• Project matching and onboarding

Full 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

• 5+ years of professional experience writing production Python

• Strong background in performance optimization and concurrency (e.g., asyncio, multiprocessing, threading) and type safety (e.g., Pydantic, mypy)

• Experience building robust backend services (using frameworks like FastAPI or Django) or scalable data pipelines

• 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