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Software Engineering Expert (AI Training)

Role overview

Qualifications

  • Strong hands-on experience with at least one programming language: Python, Java, Rust, Go, C++, TypeScript
  • Deep understanding of algorithms, data structures, object-oriented programming, and software engineering principles
  • Proven experience debugging complex software systems and resolving production issues
  • Experience implementing scalable software features throughout the software development lifecycle

Responsibilities

  • Design reproducible software engineering environments for evaluating AI model performance
  • Develop high-quality reference 'golden' solutions for complex programming challenges
  • Analyze, debug, and resolve complex software defects across diverse codebases
  • Document technical reasoning, implementation decisions, and solution methodologies to improve AI training quality

About the company

Weekday (YC W21) logo

Weekday (YC W21)

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Company details

Company size11 - 50

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Job description

This role is for one of our clients

$100 - $230/hourpay

Role Title: Senior Software Engineer

Role Type: Contractor (~15 hrs a week)

Location: Remote

We are seeking experienced Software Engineering Experts to help train next-generation AI systems through high-quality technical contributions. Your software engineering expertise will be used to create realistic coding environments, develop reference solutions, and evaluate complex engineering tasks that improve AI reasoning and problem-solving capabilities.

In this role, you will design reproducible software engineering challenges covering bug fixing, feature development, code refactoring, and performance optimization. No prior AI experience is requiredβ€”your expertise in software development is what matters.

Requirements

Key Responsibilities

  • Design reproducible software engineering environments for evaluating AI model performance.
  • Develop high-quality reference ("golden") solutions for complex programming challenges.
  • Contribute expert-level code samples in one or more of the following languages:
    • Python
    • Java
    • Rust
    • Go
    • C++
    • TypeScript
  • Analyze, debug, and resolve complex software defects across diverse codebases.
  • Design, implement, and validate scalable software features following industry best practices.
  • Refactor legacy applications to improve maintainability, readability, and performance.
  • Optimize software systems by identifying bottlenecks and improving efficiency.
  • Document technical reasoning, implementation decisions, and solution methodologies to improve AI training quality.
  • Review and validate technical submissions, ensuring correctness, clarity, and engineering excellence.
  • Collaborate remotely with cross-functional teams to continuously improve project quality and deliverables.

Required Qualifications

  • Strong hands-on experience with at least one of the following programming languages:
    • Python
    • Java
    • Rust
    • Go
    • C++
    • TypeScript
  • Deep understanding of algorithms, data structures, object-oriented programming, and software engineering principles.
  • Proven experience debugging complex software systems and resolving production issues.
  • Experience implementing scalable software features throughout the software development lifecycle.
  • Strong background in refactoring and modernizing existing codebases.
  • Excellent analytical, problem-solving, and debugging skills.
  • Ability to communicate technical concepts clearly through written documentation.
  • Comfortable working independently in a fully remote environment.

Preferred Qualifications

  • Experience working with large-scale or distributed software systems.
  • Background in software architecture, performance optimization, or system design.
  • Experience contributing to open-source projects or maintaining production-grade applications.
  • Familiarity with code reviews, engineering best practices, and collaborative software development workflows.
  • Interest in artificial intelligence, machine learning, or AI-assisted software development (prior AI experience is not required).

Compensation

  • Performance-based compensation paid per successfully completed task.
  • Earnings are based on completed work that meets project quality requirements.
  • Minimum weekly task submission requirements apply.

Start Timeline

  • Fast onboarding process with opportunities to begin contributing within 24–48 hours after successful onboarding.
  • Immediate availability is preferred.

Must-Have Skills

  • Software Engineering
  • Python / Java / Rust / Go / C++ / TypeScript
  • Algorithms
  • Data Structures
  • Debugging
  • Code Refactoring
  • Performance Optimization

Good-to-Have Skills

  • Distributed Systems
  • System Design
  • Software Architecture
  • Open Source Contributions
  • AI/ML Interest
  • Technical Documentation

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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