Python Software Engineer - AI Workflows

Alignerr Corp.

New York (NY)

Remoto

USD 83.000 - 165.000

Part-time

26 ore fa
Candidati tra i primi
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Vantaggi offerti da questo lavoro

Remote work
Flexible hours

Descrizione del lavoro

Alignerr is seeking a senior Python Software Engineer to design and optimize data pipelines, annotation tooling, and evaluation systems for AI workflows. This fully remote hourly contract offers 20–40 hours per week and the chance to impact how AI models are trained and improved.

You will build production-grade Python systems, scale tooling, and collaborate with cross-functional teams across AI research and engineering to deliver robust infrastructure for data annotation and evaluation.

Competenze

  • 3–5+ years of professional experience writing production-grade Python.
  • Disciplined about code quality — apply linters, formatters, and test coverage.
  • Experience integrating AI services and third-party APIs with strong error handling.

Mansioni

  • Design, build, and optimize high-performance Python systems for AI data pipelines.
  • Develop full-stack tooling and backend services for large-scale data annotation and validation.
  • Identify bottlenecks, edge cases, and reliability issues across existing codebases.
  • Improve performance, safety, and maintainability of Python infrastructure used in production environments.
  • Collaborate with data, research, and engineering teams to support model training/evaluation workflows.
  • Participate in design reviews and iterate on system architecture and implementation decisions.

Conoscenze

Python
Full-stack
Systems programming
Testing & quality
API integration

Descrizione del lavoro

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 Python engineers to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — production-grade work that makes a real difference in how AI models are trained and improved.

This is a fully remote contract role with flexible hours. If you're a strong Python engineer who wants to work on genuinely interesting infrastructure problems at the frontier of AI development, this is built 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
  • Identify and resolve bottlenecks, edge cases, and reliability issues across existing codebases
  • Improve performance, safety, and maintainability across Python infrastructure used in real AI production environments
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Participate in synchronous design reviews and iterate on system architecture and implementation decisions
Who You Are
  • Native or fluent English speaker with clear written and verbal communication
  • Full-stack developer with a strong systems programming background
  • 3–5+ years of professional experience writing production-grade Python
  • Disciplined about code quality — you naturally reach for linters, formatters, and comprehensive test coverage
  • Experienced integrating AI services and third-party APIs, with solid instincts for error handling and edge case management
  • Able to commit 20–40 hours per week with reliability and consistency
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 research teams or labs
Why Join Us
  • Work on real production systems powering cutting‑edge AI at leading research labs
  • Fully remote and flexible — structure your week the way that works for you
  • Meaningful, high-impact engineering work — not maintenance tickets, but systems that matter
  • Freelance autonomy with the substance and scope of serious engineering work
  • Potential for ongoing work and contract extension as new projects launch
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