python developer in AI infrastructure

Alignerr Corp.; United States; On-site; USD 83,000 - 165,000; Full time

Benefits offered by this job

Flexible freelance hours

Remote work

Job summary

Alignerr builds data pipelines, annotation tooling, and evaluation systems used by leading AI labs to train and evaluate models. You will design, build, and optimize high-performance Python systems for AI data pipelines and evaluation workflows.

The role covers full-stack tooling and backend services for large-scale data annotation, validation, and quality control, with emphasis on reliability, performance, and safety across production codebases.

Qualifications

• Fluent English with strong written and verbal communication skills.

Responsibilities

• Design, build, and optimize high-performance Python systems for AI data pipelines and evaluation workflows.

Skills

Fluent English

Senior full-stack developer

Python systems programming

Distributed computing

Async patterns

Architectural decisions

Tools

Python

Asyncio

Profiling tools

Job description

Описание:

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

Задачи:

• 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

Требования:

• 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

Условия:

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