Python Software Engineer - AI Workflows

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

• 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

• 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, for matters, 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

• 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

• 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