Junior Software Engineer

This role is for one of our clients

Pay: 150–200/hour

Role Type: Contractor

Location: Remote

We are seeking a motivated and detail-oriented Junior Software Engineer to contribute to the evaluation and improvement of advanced artificial intelligence systems. This opportunity is ideal for early-career software engineers with strong programming fundamentals, analytical thinking, and practical experience developing and reviewing software applications.

In this role, you will evaluate AI-generated code for correctness, quality, efficiency, and design. You will create challenging programming problems, develop reference solutions and test cases, and assess AI models’ ability to solve real-world software engineering challenges. You will also review technical reasoning related to debugging, architecture, and system design, providing structured feedback to improve the reliability and performance of AI-generated solutions.

The ideal candidate has professional software engineering experience, a solid understanding of programming principles, and the ability to explain technical decisions clearly. Prior experience in artificial intelligence is not required.

Requirements

Key Responsibilities

• AI-Generated Code Evaluation: Review AI-generated code for functional correctness, readability, maintainability, efficiency, and adherence to software engineering best practices.
• Coding Problem Development: Design challenging programming problems that assess algorithmic thinking, debugging skills, implementation quality, and practical engineering judgment.
• Reference Solution Creation: Develop accurate, well-structured reference solutions that demonstrate effective approaches to solving software engineering problems.
• Test Case Development: Create comprehensive test cases to validate functionality, identify edge cases, and detect incomplete or incorrect implementations.
• Technical Reasoning Assessment: Evaluate AI-generated explanations and decisions involving software architecture, system design, debugging, and implementation strategies.
• Code Quality Analysis: Identify bugs, inefficient algorithms, poor design choices, security concerns, and violations of established coding standards.
• Technical Feedback: Provide detailed, actionable feedback explaining errors, weaknesses, and opportunities to improve code quality and model performance.
• Documentation: Clearly document problem requirements, expected behavior, solution approaches, testing procedures, and technical evaluation findings.
• Quality Assurance: Ensure that coding tasks, reference solutions, and evaluation criteria are accurate, consistent, and reproducible.

Required Qualifications

• At least one year of professional experience as a software engineer at a well-established technology company.
• At least part of the relevant professional experience should have been gained within the past three years.
• Strong understanding of programming fundamentals, data structures, algorithms, and object-oriented programming.
• Practical experience writing, debugging, testing, and reviewing code.
• Familiarity with software development practices, including version control, code reviews, testing, and debugging.
• Ability to assess code for correctness, performance, readability, and maintainability.
• Foundational understanding of software architecture and system design principles.
• Strong analytical and problem-solving skills.
• Excellent written communication skills, with the ability to explain technical decisions and complex engineering concepts clearly.
• Ability to work independently and deliver accurate, high-quality technical assessments.

Must-Have Skills

• Software Engineering Fundamentals
• Programming and Coding
• Data Structures and Algorithms
• Code Review and Quality Assessment
• Debugging and Troubleshooting
• Automated Testing and Test Case Development
• Problem-Solving and Logical Reasoning
• Technical Documentation and Written Communication

Good-to-Have Skills

• Python, Java, C++, JavaScript, TypeScript, Go, or similar programming languages
• Object-Oriented Programming and Design Patterns
• API Development and Backend Engineering
• Software Architecture and System Design
• Performance Optimization and Profiling
• Git and Version Control
• Unit Testing and Integration Testing
• CI/CD and Software Development Workflows
• AI-Generated Code Evaluation
• Familiarity with AI coding assistants and model benchmarking…