Senior Python Full-Stack Engineer & AI Data & Infrastructure

Alignerr; Remote; USD 80,000 - 100,000; Part time

Job summary

A leading AI data firm is looking for a Senior Python Full-Stack Engineer to design and optimize systems supporting AI data workflows. Candidates must have over 5 years of Python experience, proficiency in full-stack development, and strong skills in performance optimization and concurrency. Preferred experience includes AI/ML workflows and building backend services. This remote role requires a commitment of 20–40 hours per week, offering competitive hourly compensation based on experience.

Qualifications

• 5+ years of professional experience writing production Python.
• Strong systems programming background and full-stack developer experience.
• Experience with type safety (e.g., Pydantic, mypy).

Responsibilities

• Design, build, and optimize high-performance systems in Python.
• Develop full-stack tooling and backend services.
• Collaborate with data and research teams.

Skills

Full-stack development

Performance optimization

Concurrency

Clear communication

Tools

FastAPI

Django

Job description

Overview

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
• Strong background in performance optimization and concurrency (e.g., asyncio, multiprocessing, threading) and type safety (e.g., Pydantic, mypy)
• Experience building robust backend services (using frameworks like FastAPI or Django) or scalable data pipelines
• 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