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Python Engineer

Alignerr

full-remoteseniorcontractbackendproduct-management Seattle, WA 6 days ago via LinkedIn

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Tags

PythonDjangoFlaskFastAPIAI EvaluationCode ReviewRLHFData AnnotationAlgorithm DesignPerformance Optimization

About the role

Role Overview

Python Engineer (AI Training) at Alignerr (fully remote, hourly contract). You’ll evaluate AI-generated Python code, solve algorithmic challenges, and provide structured feedback to improve how AI models generate code.

Responsibilities

  • Review and evaluate AI-generated Python code for:
    • correctness
    • efficiency
    • adherence to professional best practices
  • Solve complex algorithmic problems and produce high-quality Python solutions
  • Write clear, human-readable explanations of code logic and problem-solving strategies
  • Identify edge cases, bugs, and ambiguities in AI responses
  • Provide structured, detailed feedback that improves AI understanding and output quality
  • Work independently and asynchronously on your own schedule

Requirements

  • Deep, hands-on Python expertise with evidence of production-level code
  • 3–5+ years of professional Python development experience
  • Strong command of modern Python frameworks such as Django, Flask, or FastAPI
  • Comfort with advanced Python features, design patterns, and performance considerations
  • Excellent written communication skills
  • B.S. or higher in Computer Science or related technical field
  • Self-motivated and consistent when working independently

Nice to Have

  • Experience with data annotation, RLHF, or AI evaluation workflows
  • Background in algorithm design, competitive programming, or technical problem-solving
  • Familiarity with code review processes or software quality evaluation
  • Experience across multiple Python domains (data science, backend, automation, systems)

Work Details

  • Remote
  • 10–40 hours/week
  • Hourly contract

About Alignerr

Alignerr operates in the AI tooling and evaluation space, helping ensure AI coding systems meet real production engineering standards. The role focuses on reviewing and improving AI-generated Python outputs in collaboration with leading AI research labs.

Scraped 8/5/2026