Note: The job is a remote job and is open to candidates in USA. Alignerr is seeking a Python Software Engineer specializing in AI workflows to design and build infrastructure for AI development. The role involves optimizing Python systems for data pipelines and evaluation workflows, collaborating with various teams, and ensuring high-performance production code.

Responsibilities

• 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

Skills

• 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
• 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

Benefits

• Fully remote and async-friendly — work from wherever you do your best work
• Freelance autonomy with the structure of meaningful, technically challenging projects
• Potential for ongoing work and contract extension as new projects launch

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