Principal Python Engineer - ML Infrastructure

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience)

- Design, build, and optimize high-performance systems in Python 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 existing Python codebases

- Collaborate with data, research, and engineering teams to support model training and evaluation workflows

- Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes

- Participate in synchronous reviews to iterate on system design and implementation decisions

- Native or fluent English speaker

- Full-stack developer experience with a strong systems programming background

- 5+ years of professional experience writing production Python, specifically for large-scale infrastructure or platform engineering.

- Expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns.

- Deep understanding of Python internals (GIL limitations, memory profiling) and experience optimizing performance for compute-heavy workloads.

- Clear written and verbal communication skills for driving technical strategy and architectural decisions.

- Ability 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

- Submit your resume

- Complete a short technical screening

- Project matching and onboarding