Remote AI Training Software Engineer (Contract)

Alignerr Corp.

Puebla de Zaragoza

Remote

MXN 1,012,000 - 2,277,000

Full time

21 hours ago
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Job summary

Alignerr seeks a Software Engineer (AI Training) to join a fully remote, flexible contract in Puebla. You will write, review, and refine AI-generated code and provide expert feedback to improve coding assistants.

The role emphasizes hands-on engineering across languages, with independent, schedule-driven work. You will evaluate AI outputs for correctness, efficiency, readability, and security, while designing prompts and edge cases to stress-test capabilities.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • Proficiency in Python or JavaScript and other listed languages.
  • Ability to read, write, and reason about code with clarity.
  • Strong debugging and problem-solving skills.
  • Experience with code reviews, mentoring, or technical writing is a plus.

Responsibilities

  • Write, debug, and optimize code across languages and problem domains.
  • Review and evaluate AI-generated code for correctness and efficiency.
  • Identify bugs, security issues, and performance bottlenecks in AI outputs.
  • Provide structured, detailed feedback explaining why code works or doesn’t.
  • Design challenging prompts and edge-case scenarios to stress-test AI capabilities.
  • Compare and rank multiple AI-generated solutions based on engineering quality.
  • Work independently and asynchronously with flexible scheduling.

Skills

Python
JavaScript
Java
C++
Go
TypeScript

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Job description

Alignerr seeks a Software Engineer (AI Training) to join a fully remote, flexible contract in Puebla. You will write, review, and refine AI-generated code and provide expert feedback to improve coding assistants.

The role emphasizes hands-on engineering across languages, with independent, schedule-driven work. You will evaluate AI outputs for correctness, efficiency, readability, and security, while designing prompts and edge cases to stress-test capabilities.

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