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Python Software Engineer - AI Workflows

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Alignerr
Full Time position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 50 - 75 USD Hourly USD 50.00 75.00 HOUR
Job Description & How to Apply Below

Join to apply for the Python Software Engineer - AI Workflows role at Alignerr

Role:
Senior Python Full-Stack Engineer – AI Data & Infrastructure

Type:
Contract, Remote

Commitment: 20–40 hours/week

Compensation:
Competitive hourly ($50-75/hr)

Base pay range: $50.00/hr – $75.00/hr

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.

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‑Hold Requirements
  • Native or fluent English speaker.
  • Full-stack developer experience with a strong systems programming background.
  • 3-5+ years of professional experience writing production Python.
  • Strong ability to write clean, maintainable code utilizing linters, for matters, and comprehensive testing frameworks.
  • Experience gluing together various AI services and APIs, handling edge cases, and ensuring robust error reporting.
  • 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.
Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Industry: Technology, Information and Internet

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