Junior Software Engineer | $175/hr | Remote

The Ai Training Company; New Zealand; Remote; NZD 70,000 - 90,000; Full time

Job summary

The Ai Training Company is seeking early-career Software Engineers to contribute to a remote AI project that evaluates code, designs challenging tasks, and improves coding models. You will review AI-generated code, assess reasoning, and craft realistic problems with reference solutions and tests.

The role focuses on debugging, architecture, APIs, data structures, algorithms, and system design, with detailed feedback and high standards for professional engineering practices.

Qualifications

• At least one year of professional software engineering experience at a leading technology company.
• At least part of that software engineering experience must have occurred within the past three years.
• Strong programming and debugging fundamentals.
• Ability to evaluate code for correctness and quality.
• Ability to write technically sound reference solutions and test cases.
• Good understanding of software architecture and engineering best practices.
• Strong analytical and problem-solving skills.
• Ability to explain technical decisions clearly in writing.
• Comfortable working independently in a remote environment.
• Preferred background includes experience in production software at major tech companies and designing coding exercises.

Responsibilities

• Evaluate AI-generated code for correctness, efficiency, maintainability, and overall engineering quality.
• Identify bugs, edge cases, incomplete implementations, and poor design decisions in generated solutions.
• Create realistic coding problems based on real-world software engineering scenarios.
• Write high-quality reference solutions that demonstrate correct and maintainable implementations.
• Develop test cases that distinguish correct solutions from incomplete or incorrect approaches.
• Review model reasoning related to debugging, software architecture, APIs, data structures, algorithms, and system design.
• Assess whether proposed technical solutions are practical and aligned with professional engineering standards.
• Provide detailed written feedback explaining what is correct, what is wrong, and how a solution could be improved.
• Help create increasingly challenging engineering tasks that test real-world coding ability.

Skills

Programming fundamentals

Debugging

Problem solving

Technical writing

Code review

Independent work

Software design

APIs

Tools

APIs

Databases

Distributed systems

Cloud services

Testing

Job description

We are seeking talented early-career Software Engineers from leading technology companies to contribute to a remote AI project focused on evaluating code, designing challenging engineering tasks, and improving advanced coding models.

You will review AI-generated code, assess technical reasoning, create realistic software engineering problems, write reference solutions and tests, and provide detailed feedback on debugging, architecture, and implementation quality.

What You'll Do

• Evaluate AI-generated code for correctness, efficiency, maintainability, and overall engineering quality.
• Identify bugs, edge cases, incomplete implementations, and poor design decisions in generated solutions.
• Create realistic coding problems based on real-world software engineering scenarios.
• Write high-quality reference solutions that demonstrate correct and maintainable implementations.
• Develop test cases that distinguish correct solutions from incomplete or incorrect approaches.
• Review model reasoning related to debugging, software architecture, APIs, data structures, algorithms, and system design.
• Assess whether proposed technical solutions are practical and aligned with professional engineering standards.
• Provide detailed written feedback explaining what is correct, what is wrong, and how a solution could be improved.
• Help create increasingly challenging engineering tasks that test real-world coding ability.

Who Can Apply

Relevant backgrounds include Software Engineers, Junior Software Engineers, Software Developers, and Associate Software Engineers.

We also welcome Backend Engineers, Backend Developers, API Developers, Server-Side Engineers, and Platform Engineers.

Full-stack backgrounds may include Full-Stack Engineers, Full-Stack Developers, Product Engineers, and Application Developers.

Systems backgrounds may include Systems Engineers, Infrastructure Engineers, Cloud Engineers, Distributed Systems Engineers, and Developer Tools Engineers.

Additional relevant backgrounds include Mobile Engineers, Data Engineers, Machine Learning Engineers, and Security Engineers with strong coding and debugging experience.

Requirements

• At least one year of professional software engineering experience at a leading technology company.
• At least part of that software engineering experience must have occurred within the past three years.
• Strong programming and debugging fundamentals.
• Ability to evaluate code for correctness and quality.
• Ability to write technically sound reference solutions and test cases.
• Good understanding of software architecture and engineering best practices.
• Strong analytical and problem-solving skills.
• Ability to explain technical decisions clearly in writing.
• Comfortable working independently in a remote environment.

Preferred Background

• Professional experience building production software at a major technology company or high-quality engineering organization.
• Experience with backend, frontend, full-stack, systems, infrastructure, mobile, or platform engineering.
• Experience performing code reviews or reviewing pull requests.
• Experience writing automated tests or debugging production issues.
• Experience designing coding exercises, interview questions, technical assessments, or engineering benchmarks is helpful.
• Experience with APIs, databases, distributed systems, cloud services, or production applications is valuable.

This opportunity is ideal for early-career software engineers who have strong fundamentals, can quickly understand unfamiliar code, identify subtle implementation problems, design realistic engineering challenges, and clearly explain why a solution succeeds or fails. We are a referral partner of the client