Backend Engineer, AI Coding Task Design

OpenTrain AI

United States

Remote

USD 41,000 - 138,000

Part time

2 days ago
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Job summary

OpenTrain AI is seeking a part-time backend engineer to design AI task coding challenges for evaluation systems. This remote role is US-based, approximately 15 hours per week, with flexible scheduling and task-based compensation between $30 and $100 per hour.

The engineer will craft realistic coding tasks for AI systems, write deterministic verifiers, assess correctness and code quality, and apply secure coding practices where relevant to improve software-generation capabilities.

Qualifications

  • Strong professional backend experience with multiple languages and frameworks.
  • Ability to design scalable APIs/services and debug bottlenecks.
  • Excellent analytical, problem-solving, and technical communication skills.

Responsibilities

  • Design realistic coding tasks for AI systems.
  • Write deterministic verifiers for task evaluation.
  • Assess correctness and code quality of submitted solutions.
  • Apply secure coding practices and security reviews where relevant.

Skills

Backend engineering
Python
Java
Node.js
Go
Rust
TypeScript
C++
API design
Code review
Security basics

Tools

Git
Docker
Kubernetes
CI/CD
AWS

Job description

the company | REMOTE (US) | Part-time | Backend Engineer, AI Coding Task Design

the company connects experienced professionals with paid, part-time AI training work. We are the hiring company and are actively filling this role.

  • $30–$100 per hour equivalent, paid per accepted task
  • 100% remote, United States
  • About 15 hours/week; choose your schedule

We need backend engineers to design realistic coding tasks for AI systems, write deterministic verifiers, assess correctness and code quality, and apply secure coding and security review where relevant. This work helps improve AI systems that write software.

Ideal background
  • Strong professional backend experience with Python, Java, Node.js, Go, Rust, TypeScript, C++ or similar
  • Scalable APIs/services, complex features, debugging, bottleneck resolution and code review
  • Strong analytical, problem-solving and technical communication skills; professional English
  • Helpful: application security, secure coding, vulnerability assessment, penetration testing, OWASP/CWE or security-focused code review
  • No AI experience needed; structured task-design guidelines and verification criteria are provided
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