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