Software Engineering Expert (AI Training)

Weekday AI; United States; Remote; USD 138,000 - 317,000; Part time

Job summary

Weekday AI is seeking a Senior Software Engineer to join as a remote contractor (~15 hours per week). You will design reproducible coding environments, develop reference solutions, and evaluate AI tasks that improve reasoning and problem-solving capabilities.

The role requires hands-on experience in Python, Java, Rust, Go, C++, or TypeScript, strong knowledge of algorithms and data structures, and the ability to work independently in a fully remote setup.

Qualifications

• Strong hands-on experience with at least one listed programming language.
• Deep understanding of algorithms and data structures.
• Proven debugging of complex software systems.
• Ability to work independently in a fully remote environment.

Responsibilities

• Design reproducible software engineering environments for evaluating AI model performance.
• Develop high-quality reference solutions for complex programming challenges.
• Contribute expert-level code samples across multiple languages.
• Analyze, debug, and resolve defects across diverse codebases.
• Refactor legacy applications to improve maintainability and performance.
• Document reasoning and decisions to improve AI training quality.
• Review and validate technical submissions with teammates.
• Collaborate remotely with cross-functional teams.

Skills

Software Engineering

Python

Java

Rust

Go

C++

TypeScript

Algorithms

Data Structures

Debugging

Code Refactoring

Performance Optimization

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 required-your expertise in software development is what matters.

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