Senior Python Full-Stack Engineer — AI Data & Infrastructure

Alignerr; Seattle (WA); Remote; USD 83,000 - 165,000; Full time

Job summary

Alignerr is seeking a Senior Python Full-Stack Engineer to design data pipelines, annotation tooling, and evaluation systems powering leading AI labs. This is a fully remote, hourly contract role with 20–40 hours per week and real production impact.

You will build high-performance Python services (FastAPI, Django) and scalable data tooling, collaborating with data, research, and engineering teams to support model training and evaluation.

Qualifications

• 5+ years of professional experience writing production-grade Python.
• Strong full-stack development background with backend and frontend capabilities.
• Experience with high-performance data pipelines and service-oriented architectures.
• Proficiency with asynchronous programming and concurrency patterns.

Responsibilities

• Design, build, and optimize Python systems for large-scale data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale.
• Identify bottlenecks and reliability issues across production codebases and improve performance.

Skills

Python

Full-stack

Asyncio

Mypy

Pydantic

FastAPI

Django

Concurrency

Job description

About The Role

What if your Python expertise could directly shape the infrastructure behind the most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.

This is a fully remote, flexible contract role working on real production systems — not toy projects. If you're a seasoned Python engineer who thrives on high-impact, technically challenging work, this is where your skills belong.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week

What You'll Do

• Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
• Identify and eliminate bottlenecks, edge cases, and reliability issues across production codebases
• Collaborate closely with data, research, and engineering teams to support model training and evaluation infrastructure
• Improve safety, performance, and maintainability of existing systems
• Participate in synchronous design reviews and iterate on system architecture with expert colleagues

Who You Are

• Native or fluent English speaker with strong written and verbal communication skills
• Full-stack developer with a solid systems programming background
• 5+ years of professional experience writing production-grade Python
• Deep understanding of performance optimization and concurrency — asyncio, multiprocessing, threading — and type safety tools like Pydantic and mypy
• Proven experience building robust backend services (FastAPI, Django, or similar) or scalable data pipelines
• Able to commit 20–40 hours per week with reliability and professionalism

Nice to Have

• Prior experience with data annotation platforms, data quality workflows, or evaluation systems
• Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
• Experience with distributed systems, developer tooling, or MLOps

Why Join Us

• Work directly with leading AI research labs on systems that matter
• Fully remote and flexible — structure your hours around your life
• Freelance autonomy with the depth and consistency of meaningful, long-term technical work
• Collaborate with a sharp, technically rigorous team on genuinely hard engineering problems
• Potential for ongoing work and contract extension as projects scale