Principal Python Engineer - ML InfrastructureAlignerr • Los Angeles, CA, United States

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Principal Python Engineer - ML Infrastructure

Alignerr • Los Angeles, CA, United States

3 days ago

Job type

Full-time

Job description

About the Job

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.

Position

Senior Python Full-Stack Engineer - AI Data & Infrastructure

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

Role Responsibilities

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

Qualifications

Must-Have

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.

Preferred

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

Application Process

Submit your resume

Complete a short technical screening

Project matching and onboarding

$50 - $75 an hour

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Principal Ml Engineer • Los Angeles, CA, United States

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