python developer for AI data infrastructure

Alignerr develops AI training infrastructure, including data pipelines, annotation tooling, and evaluation systems used by leading AI research labs.

• Design, build, and optimize high-performance Python systems for 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;
• Identify bottlenecks and edge cases in data and system behavior, then implement scalable fixes;
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows;
• Drive architectural and system design decisions through synchronous technical reviews.

• Fluent English speaker with strong written and verbal communication skills;
• Senior full-stack developer with a strong systems programming background;
• 5+ Years of professional experience writing production Python for large-scale infrastructure or platform engineering;
• Deep expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns;
• Intimate knowledge of Python internals, including GIL limitations, memory profiling, and performance optimization for compute-heavy workloads;
• Ability to drive technical strategy and architectural decisions clearly and confidently;
• Availability to commit 20–40 hours per week;
• Nice to have: prior experience with data annotation, data quality, or model evaluation systems, familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure, experience with distributed systems architecture or internal developer tooling.

• Hourly contract;
• 20–40 Hours per week;
• Fully remote and flexible contract role;
• Freelance autonomy;
• Potential for ongoing engagement and expanded scope as projects grow.