Python Software Engineer - AI Workflows

Python Software Engineer — AI Workflows
About The Role
What if your Python expertise could directly shape the infrastructure powering the next generation of AI? We're looking for senior full-stack Python engineers to design and build 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 working on real production systems — not toy projects. If you're a sharp engineer who wants to work at the frontier of AI development, this is the role for you.
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 production Python codebases
Integrate AI services and APIs with robust error handling and edge case coverage
Identify bottlenecks and failure modes in data and system behavior, then implement scalable solutions
Collaborate with data, research, and engineering teams to support model training and evaluation workflows
Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
3–5+ years of professional experience writing production-grade Python
Strong full-stack developer with a solid systems programming background
You write clean, maintainable code and naturally reach for linters, formatters, and comprehensive test coverage
Experienced gluing together AI services and APIs with confidence — you anticipate edge cases before they bite
Clear, direct communicator — both in writing and in technical discussions
Native or fluent English speaker
Available to commit 20–40 hours per week
Nice to Have
Prior experience with data annotation, data quality, or evaluation systems
Familiarity with AI/ML workflows, model training, or benchmarking pipelines
Experience with distributed systems or developer tooling
Background working directly with AI labs or research teams
Why Join Us
Work on cutting-edge AI projects alongside leading research labs — real systems, real impact
Fully remote and async-friendly — work from wherever you do your best work
Freelance autonomy with the structure of meaningful, technically challenging projects
Contribute directly to the infrastructure that shapes how next-generation AI models are built and evaluated
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes