Remote AI Training Engineer: Shape AI-Generated Code

Alignerr Corp.

Región Centro

Remote

MXN 1,027,000 - 2,053,000

Full time

27 hours ago
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Benefits offered by this job

Fully remote
Flexible hours
Freelance contract

Job summary

Alignerr Corp. is seeking Software Engineers for a fully remote, hourly contract to help shape AI-generated code.

You will write, review, and optimize AI outputs and provide expert feedback to improve reliability and safety of coding assistants. You will work asynchronously on a flexible schedule, tackling multi-language codebases, debugging issues, and crafting challenging prompts to stress-test AI capabilities.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • Experience reading and reasoning about code.
  • Ability to work asynchronously and provide structured feedback.

Responsibilities

  • Write, debug, and optimize code across languages, frameworks, and problem domains.
  • Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices.
  • Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs.
  • Provide structured, detailed feedback explaining why code works — or doesn’t.
  • Design challenging coding 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 — fully on your own schedule.

Skills

Python
JavaScript
C++
Go
TypeScript
Java
Data structures
Algorithms
Clear communication

Education

Bachelor's degree in Computer Science

Tools

Git
CI/CD

Job description

Alignerr Corp. is seeking Software Engineers for a fully remote, hourly contract to help shape AI-generated code.

You will write, review, and optimize AI outputs and provide expert feedback to improve reliability and safety of coding assistants. You will work asynchronously on a flexible schedule, tackling multi-language codebases, debugging issues, and crafting challenging prompts to stress-test AI capabilities.

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