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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
Work arrangement
Yes
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