Remote Software Engineer for AI-Generated Code & Training

Alignerr Corp.

Santiago de Querétaro

Remote

MXN 509,000 - 1,526,000

Part time

14 hours ago
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Job summary

Alignerr is seeking Software Engineers in a fully remote, hourly contract role to help train AI systems by building, evaluating, and improving AI-generated code. You will write solutions, review outputs, and give expert feedback to improve safety, reliability, and quality.

You’ll work hands-on across languages, review AI outputs, and design prompts to stress-test capabilities, all while collaborating asynchronously on your own schedule.

Qualifications

  • Bachelor's degree in CS/SE or equivalent practical experience.
  • Strong problem-solving and systematic debugging approach.
  • Clear written communicator able to explain technical decisions.

Responsibilities

  • Write, debug, and optimize code across a range of languages and 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
Java
C++
Go
TypeScript
Data structures
Debugging
Code reasoning
Communication

Education

Bachelor's degree in Computer Science, Software Engineering, or related field

Job description

Alignerr is seeking Software Engineers in a fully remote, hourly contract role to help train AI systems by building, evaluating, and improving AI-generated code. You will write solutions, review outputs, and give expert feedback to improve safety, reliability, and quality.

You’ll work hands-on across languages, review AI outputs, and design prompts to stress-test capabilities, all while collaborating asynchronously on your own schedule.

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