Lead Backend Engineer - AI Tooling

Lead Backend Engineer — AI Tooling
About The Role
What if your Python expertise could directly shape the infrastructure that powers the world's most advanced AI systems? We're looking for a senior backend engineer to build and lead the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve their models.
This is a fully remote contract role working on real production systems at the cutting edge of AI development. If you're a senior engineer who wants meaningful, high-impact work — not another CRUD app — this is it.
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 model evaluation workflows
Develop backend services and full-stack tooling for large-scale data annotation, validation, and quality control
Architect robust APIs (REST/GraphQL), design database schemas, and implement authentication and authorization flows
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 data, research, and engineering teams across model training and evaluation workflows
Lead synchronous design and code reviews — driving decisions that shape the architecture of critical AI systems
Who You Are
Native or fluent English speaker with strong written and verbal communication skills
Full-stack developer with a deep systems programming background and 5+ years writing production Python backend services
Fluent in modern Python web frameworks with strict type enforcement patterns
Experienced architecting scalable APIs, data schemas, and auth systems in production environments
A natural leader in code reviews and system design sessions — you can articulate decisions clearly and bring others along
Able to commit 20–40 hours per week on a reliable, ongoing basis
Nice to Have
Prior experience with data annotation, data quality pipelines, or AI evaluation systems
Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
Experience with distributed systems, developer tooling, or platform engineering
Why Join Us
Work directly with leading AI labs on systems that influence next-generation model development
Fully remote and flexible — work from wherever you do your best work
Freelance autonomy with the structure and stability of ongoing, project-based engagement
Make a real, measurable impact on the infrastructure behind some of the most advanced AI in the world
Potential for extended engagement and expanded scope as projects grow

Work arrangement
Yes