Python Software Engineer - AI Workflows

Alignerr Corp.; Seattle (WA); Remote; USD 69,000 - 124,000; Part time

Benefits offered by this job

Fully remote

Contract-based freelance work

Flexible hours

Impactful AI infrastructure

Job summary

Alignerr is seeking a Senior Python Full-Stack Engineer to design data pipelines, annotation tooling, and evaluation systems powering AI model training. The role is a fully remote hourly contract focusing on production-ready infrastructure and scalable backend services.

You'll collaborate with data, research, and engineering teams to optimize performance and reliability, while delivering high-quality code with tests and tooling that supports model evaluation and data quality workflows.

Qualifications

• 3-5+ years of professional experience writing production-grade Python.
• Full-stack developer with a strong systems programming background.
• Able to commit 20-40 hours per week consistently.

Responsibilities

• Design, build, and optimize high-performance Python systems 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 robustness across existing Python codebases.
• Collaborate with data, research, and engineering teams to support model training and evaluation.
• Identify bottlenecks and implement scalable, production-grade fixes.

Skills

Python

Full-stack development

Testing & CI

APIs

Distributed systems

Job description

About The Role What if your Python expertise could directly shape the infrastructure powering next-generation AI models? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models. Python Software Engineer - AI Workflows About The Role What if your Python expertise could directly shape the infrastructure powering next-generation AI models? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models. This is a fully remote, flexible contract role for an experienced engineer who wants to work on real production systems at the frontier of AI development - not toy projects, but high-impact infrastructure that matters.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20-40 hours/week

What You'll Do

• Design, build, and optimize high-performance Python systems 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 robustness across existing Python codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation
• Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-grade fixes
• Participate in synchronous design reviews and iterate on system architecture decisions

Who You Are

• 3-5+ years of professional experience writing production-grade Python
• Full-stack developer with a strong systems programming background
• Writes clean, maintainable code with proper use of linters, formatters, and testing frameworks
• Experienced integrating AI services and APIs, handling edge cases, and ensuring robust error reporting
• Clear and effective written and verbal communicator
• Native or fluent English speaker
• Able to commit 20-40 hours per week consistently

Nice to Have

• Prior experience with data annotation, data quality pipelines, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
• Experience with distributed systems or developer tooling at scale

Why Join Us

• Work directly with leading AI research labs on production systems that matter
• Fully remote and flexible - work from wherever you do your best thinking
• Freelance autonomy with the structure and purpose of high-impact, technically challenging work
• Get hands-on experience at the cutting edge of AI infrastructure before it becomes mainstream
• Potential for ongoing work and contract extension as projects evolve and new ones launch