Python Software Engineer - AI Workflows

Alignerr Corp.

Denver (CO)

Remote

USD 83,000 - 124,000

Full time

3 days ago
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Benefits offered by this job

Fully remote
Contract freelance style

Job summary

Alignerr is seeking a senior full-stack Python engineer to design data pipelines, annotation tooling, and evaluation systems powering AI labs. This is a fully remote contract role, 20–40 hours per week, with potential for ongoing work.

You will build high-performance Python systems, develop tooling for large-scale annotation and quality control, and collaborate with AI teams to support model training and evaluation in production environments.

Qualifications

  • 3–5+ years of production-grade Python experience.
  • Strong full-stack capabilities with a systems mindset.
  • Clean, maintainable code with tests and linters.
  • Experience integrating AI services and APIs.
  • Excellent written and verbal communication in English.

Responsibilities

  • Design, build, and optimize high-performance Python systems for AI data pipelines and evaluation workflows.
  • Develop full-stack tooling and backend services for data annotation and quality control.
  • Improve reliability, performance, and safety across production codebases.
  • Integrate AI services and APIs with robust error handling.
  • Identify bottlenecks and implement scalable solutions.
  • Collaborate with data, research, and engineering teams for model training workflows.
  • Participate in design reviews to shape architecture decisions.

Skills

Production-grade Python
Full-stack developer
Systems programming
Code quality and testing
API integration
Clear communication

Job description

About The Role

What if your Python expertise could directly shape the infrastructure powering the next generation of AI? We're looking for senior full-stack Python engineers 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 the next generation of AI? We're looking for senior full-stack Python engineers 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 contract role working on real production systems — not toy projects. If you're a sharp engineer who wants to work at the frontier of AI development, this is the role for you.

  • 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 safety across production Python codebases
  • Integrate AI services and APIs with robust error handling and edge case coverage
  • Identify bottlenecks and failure modes in data and system behavior, then implement scalable solutions
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
  • 3–5+ years of professional experience writing production-grade Python
  • Strong full-stack developer with a solid systems programming background
  • You write clean, maintainable code and naturally reach for linters, formatters, and comprehensive test coverage
  • Experienced gluing together AI services and APIs with confidence — you anticipate edge cases before they bite
  • Clear, direct communicator — both in writing and in technical discussions
  • Native or fluent English speaker
  • Available to commit 20–40 hours per week
Nice to Have
  • 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
  • Background working directly with AI labs or research teams
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs — real systems, real impact
  • Fully remote and async-friendly — work from wherever you do your best work
  • Freelance autonomy with the structure of meaningful, technically challenging projects
  • Contribute directly to the infrastructure that shapes how next-generation AI models are built and evaluated
  • Potential for ongoing work and contract extension as new projects launch
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