Senior Backend Engineer — AI Tooling & Pipelines (Remote)

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 131,000; Part time

Job summary

Alignerr is seeking a senior backend engineer to build data pipelines, annotation tooling, and evaluation systems powering AI labs. The role is a fully remote, hourly contract with 20–40 hours per week, requiring strong Python backend experience and API design skills.

You will design and optimize high-performance Python systems, develop backend services and tooling for data annotation and validation, and collaborate with cross-functional teams to support model training and evaluation workflows.

Qualifications

• 5+ years of professional experience writing production Python backend services.
• Native or fluent English with clear written and verbal communication.
• Self-directed and able to work autonomously in a remote environment.

Responsibilities

• Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows.
• Develop backend services and full-stack tooling for large-scale data annotation, validation, and quality control.
• Architect robust APIs (REST/GraphQL), design database schemas, and implement authentication and authorization flows.
• 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, then implement scalable, production-ready fixes.
• Lead synchronous code reviews and system design sessions with cross-functional teams.

Skills

Python

Backend development

APIs REST/GraphQL

Auth systems

Remote work

Tools

GraphQL

REST APIs

Job description

Alignerr is seeking a senior backend engineer to build data pipelines, annotation tooling, and evaluation systems powering AI labs. The role is a fully remote, hourly contract with 20–40 hours per week, requiring strong Python backend experience and API design skills.

You will design and optimize high-performance Python systems, develop backend services and tooling for data annotation and validation, and collaborate with cross-functional teams to support model training and evaluation workflows.