Senior Python Full-Stack Engineer — AI Data & Infrastructure

Senior Python Full-Stack Engineer — AI Data & Infrastructure

About the Role

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

This is a fully remote contract role for a seasoned engineer who wants meaningful, high-impact work — not just another CRUD app. You'll work on real production systems at the frontier of AI development, collaborating with data, research, and engineering teams who are building things that matter.

• 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 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
• Identify bottlenecks and edge cases in data and system behavior, then implement scalable, production-ready fixes
• Collaborate with research and engineering teams to support model training and evaluation workflows
• Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are

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

Nice to Have

• Prior experience with data annotation, data quality systems, or evaluation pipelines
• Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
• Experience with distributed systems or developer tooling
• Background working directly with or alongside AI research teams

Why Join Us

• Work at the frontier of AI — your code directly influences how next-generation models are built and evaluated
• Fully remote and async-friendly — work from wherever you do your best work
• Collaborate with top-tier AI labs on high-impact, technically challenging problems
• Freelance autonomy with consistent, structured work and clear deliverables
• Potential for ongoing work and contract extension as projects grow and evolve