Senior Python Full-Stack Engineer — AI Data & Infrastructure
About The Role What if your Python expertise could directly shape the infrastructure behind the world's most advanced AI systems? 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 next-generation models. This is a fully remote contract role with meaningful technical challenges, flexible hours, and the opportunity to work on production systems that sit at the frontier of AI development.
- 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
- Improve the reliability, performance, and safety of existing Python codebases
- Collaborate with data, research, and engineering teams to support model training and evaluation infrastructure
- Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-ready fixes
- 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
- Comfortable with type safety tooling such as Pydantic and mypy
- Experienced building robust backend services (FastAPI, Django, or similar) or scalable data pipelines
- Able to commit 20–40 hours per week with consistency
Nice to Have
- Prior experience with data annotation, data quality pipelines, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems or developer tooling
- Background working alongside research or applied ML teams
Why Join Us
- Work directly on production AI infrastructure used by leading research labs
- Fully remote and flexible — work from anywhere on a schedule that suits you
- Freelance autonomy paired with technically meaningful, high-impact work
- Collaborate with sharp engineers and researchers at the cutting edge of AI
- Potential for ongoing work and contract extension as projects evolve and expand
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