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Alignerr

Alignerr

via LinkedIn

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Python Software Engineer - AI Workflows

Anywhere
Contract
Posted 12/18/2025
Verified Source
Key Skills:
TypeScript
React
Node.js
Full-stack development
API development
Cloud platforms (AWS)

Compensation

Salary Range

$0K - 0K a year

Responsibilities

Design and develop full-stack solutions supporting enterprise applications and data pipelines.

Requirements

Senior frontend engineer with extensive experience in TypeScript, React, Node.js, cloud services, and full lifecycle development.

Full 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 • 3-5+ years of professional experience writing production Python. • Strong ability to write clean, maintainable code utilizing linters, formatters, and comprehensive testing frameworks. • Experience gluing together various AI services and APIs, handling edge cases, and ensuring robust error reporting. • Clear written and verbal communication skills. • 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

This job posting was last updated on 12/23/2025

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