Python Software Engineer - AI Workflows
Python Software Engineer — AI Workflows About The Role What if your Python expertise could directly shape the infrastructure behind next-generation AI? We're looking for a senior full-stack Python engineer to 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, flexible contract role for an experienced engineer who wants to work on real production systems at the cutting edge of AI — not toy projects, but high-impact infrastructure that influences how the world's most advanced models are built.
- 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 existing Python codebases
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- Identify bottlenecks and edge cases in data and system behavior, then implement scalable fixes
- Participate in synchronous design reviews to iterate on 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 — linters, formatters, and testing frameworks are second nature
- Experienced in integrating AI services and APIs, handling edge cases, and building robust error reporting
- A clear communicator — both in writing and in synchronous 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
Why Join Us
- Work on cutting-edge AI infrastructure alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact engineering work
- Tackle real production challenges that directly shape how next-generation AI models are built
- Potential for ongoing work and contract extension as new projects launch
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