Remote Python Backend Engineer for Data Annotation Systems

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking a Senior Python Full-Stack Engineer for a remote hourly contract to design and optimize data annotation systems used in AI training. You will build Python-based data pipelines, annotation tooling, and evaluation components that production labs rely on.

Work with researchers and engineers, implement asynchronous queues, real-time data delivery via WebSockets, and scale databases for high-throughput workloads while keeping code reliable and well-documented.

Qualifications

• 3–5+ years of professional experience writing production-grade Python.

Responsibilities

• Design, build, and optimize high-performance Python systems for large-scale AI data pipelines and model evaluation workflows.
• Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale.
• Build and maintain asynchronous task queues to handle long-running background jobs reliably.
• Optimize database queries for high-read/write workloads and serve data via real-time protocols including WebSockets.
• Collaborate with data scientists, researchers, and engineers to support model training and evaluation workflows.

Skills

Python

Async queues

Full-stack dev

WebSockets

Job description

Alignerr is seeking a Senior Python Full-Stack Engineer for a remote hourly contract to design and optimize data annotation systems used in AI training. You will build Python-based data pipelines, annotation tooling, and evaluation components that production labs rely on.

Work with researchers and engineers, implement asynchronous queues, real-time data delivery via WebSockets, and scale databases for high-throughput workloads while keeping code reliable and well-documented.