Python Software Engineer - AI Workflows

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

Job summary

Alignerr is seeking a Senior Python Full-Stack Engineer to design and build data pipelines, annotation tooling, and evaluation systems powering AI models. This is an hourly contract, fully remote, 20–40 hours per week.

You will work with research and engineering teams to identify bottlenecks, improve performance, and deliver production-grade Python solutions for data annotation and model evaluation. Strong Python skills, systems programming background, and experience with distributed data

Qualifications

• 3–5+ years of professional Python experience.
• Full-stack developer with systems programming background.
• Experience integrating AI services and APIs with robust error handling.

Responsibilities

• Design, build, and optimize Python systems for data pipelines and evaluation workflows.
• Develop tooling and backend services for large-scale data annotation and quality control.
• Improve reliability and performance across Python codebases.
• Collaborate with data, research, and engineering teams to support model training.
• Identify bottlenecks and implement scalable fixes.
• Participate in design reviews and guide architecture decisions.

Skills

Python

Full-stack development

Systems programming

Testing/CI

Communication

Tools

CI/CD

APIs

Logging/Monitoring

Job description

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.

• 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

  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