Python Software Engineer - AI Workflows

Python Software Engineer — AI Workflows

About The Role

What if your Python expertise could directly shape the infrastructure powering next-generation AI models? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.

• 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 robustness across existing Python codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation
• Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-grade fixes
• Participate in synchronous design reviews and iterate on system architecture decisions

Who You Are

• 3–5+ years of professional experience writing production-grade Python
• Full-stack developer with a strong systems programming background
• Writes clean, maintainable code with proper use of linters, formatters, and testing frameworks
• Experienced integrating AI services and APIs, handling edge cases, and ensuring robust error reporting
• Clear and effective written and verbal communicator

  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 at scale

  Why Join Us

  • Work directly with leading AI research labs on production systems that matter
  • Fully remote and flexible — work from wherever you do your best thinking
  • Freelance autonomy with the structure and purpose of high-impact, technically challenging work
  • Get hands-on experience at the cutting edge of AI infrastructure before it becomes mainstream
  • Potential for ongoing work and contract extension as projects evolve and new ones launch