Remote AI Code Reviewer & Trainer (Contract)

Alignerr; Boston (MA); On-site; USD 83,000 - 124,000; Part time

Job summary

Alignerr seeks Software Engineers to shape how AI understands and generates code. You will write, review, and optimize AI-produced solutions across languages, contributing expert feedback to improve accuracy, safety, and reliability.

This fully remote, hourly contract role offers flexible scheduling and part-time commitment. You’ll work on real-world coding challenges, design prompts to stress AI systems, and help ensure high-quality AI outputs.

Qualifications

• Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar).
• Strong understanding of data structures, algorithms, and software design principles.
• Ability to read, write, and reason about code with clarity and precision.
• Self-motivated and reliable when working independently.

Responsibilities

• Write, debug, and optimize code across a range of 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

Java

C++

Go

TypeScript

Education

Bachelor’s degree in Computer Science or related field

Job description

Alignerr seeks Software Engineers to shape how AI understands and generates code. You will write, review, and optimize AI-produced solutions across languages, contributing expert feedback to improve accuracy, safety, and reliability.

This fully remote, hourly contract role offers flexible scheduling and part-time commitment. You’ll work on real-world coding challenges, design prompts to stress AI systems, and help ensure high-quality AI outputs.