Remote AI Code Trainer — Software Engineer (Contract)

Alignerr Corp.; Chicago (IL); Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Remote work

Flexible hours

Contract extension potential

Job summary

Alignerr Corp. is seeking Software Engineers in Chicago for a remote hourly contract to help train AI systems to think like developers. You will write, review, and improve AI-generated code, providing expert feedback to improve accuracy, safety, and reliability of coding assistants.

You’ll work asynchronously on your own schedule, evaluating code across languages and domains, and shaping prompts and scenarios for AI testing. This is hands-on engineering at the frontier of AI development.

Qualifications

• Proficient in one or more programming languages with strong fundamentals in data structures and algorithms.
• Excellent ability to read, write, and reason about code with clarity and precision.
• Strong problem-solving skills and systematic debugging approach.
• Clear written communication to explain technical decisions plainly.

Responsibilities

• Write, debug, and optimize code across multiple languages and frameworks.
• 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.

Skills

Python

JavaScript

Java

C++

Go

TypeScript

Education

Bachelor's degree in Computer Science or related field

Job description

Alignerr Corp. is seeking Software Engineers in Chicago for a remote hourly contract to help train AI systems to think like developers. You will write, review, and improve AI-generated code, providing expert feedback to improve accuracy, safety, and reliability of coding assistants.

You’ll work asynchronously on your own schedule, evaluating code across languages and domains, and shaping prompts and scenarios for AI testing. This is hands-on engineering at the frontier of AI development.