Python Software Engineer - AI Workflows

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.

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

• 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

• 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, for matters, 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

• 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

• 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