python developer in AI infrastructure

Alignerr builds data pipelines, annotation tooling, and evaluation systems that leading AI labs use to train and evaluate models.

• 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 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 distributed computing systems and concurrency with advanced asynchronous patterns
• Intimate knowledge of Python internals, including GIL limitations, memory profiling, and performance optimization for compute-heavy workloads
• Able to drive technical strategy and architectural decisions clearly and confidently
• Будет плюсом: 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

• Contract, hourly
• Commitment of 20–40 hours/week
• Flexible freelance autonomy
• Potential for ongoing engagement and expanded scope as projects grow