AI Training Full-Stack Engineer — Remote Contract

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 165,000; Full time

Job summary

Alignerr is seeking a senior Full Stack Engineer to help train AI models by evaluating AI-generated code and reviewing system designs. This is a fully remote hourly contract for 10–40 hours per week, ideal for engineers who value flexible schedules and meaningful, rigorous work.

You’ll contribute across the stack (React/Vue on the frontend; Node, Python, and C# on the backend), design tooling for data annotation, and provide actionable feedback to improve scalability and performance.

Qualifications

• 3–5+ years of professional full-stack engineering experience.
• Proficient across the stack: JavaScript/TypeScript, Python, and ideally Rust.
• Strong grasp of system design principles and scalable architecture.
• Exceptional written communicator with concise explanations.
• Master's or PhD in Computer Science or related field from a reputable university.

Responsibilities

• Evaluate AI-generated code across the full stack — frontend (React, Vue) and backend (Node, Python, C#) for correctness, efficiency, and best practices.
• Design and build full-stack tooling to support AI data annotation and quality control workflows.
• Review complex system architectures and provide detailed, actionable feedback on scalability and performance.
• Identify subtle bugs, edge cases, and architectural weaknesses in AI-produced code.
• Document your evaluations clearly and consistently using structured formats.
• Work independently and asynchronously — on your own schedule.

Skills

JavaScript/TypeScript

Python

Rust

Full-stack

System design

Written communication

Independent work

Education

Master's or PhD in Computer Science

Tools

React

Vue

Node.js

C#

Docker

Job description

Alignerr is seeking a senior Full Stack Engineer to help train AI models by evaluating AI-generated code and reviewing system designs. This is a fully remote hourly contract for 10–40 hours per week, ideal for engineers who value flexible schedules and meaningful, rigorous work.

You’ll contribute across the stack (React/Vue on the frontend; Node, Python, and C# on the backend), design tooling for data annotation, and provide actionable feedback to improve scalability and performance.