Junior Software Engineer

Weekday AI; United States; Remote; USD 207,000 - 276,000; Part time

Job summary

Weekday AI is seeking a motivated Junior Software Engineer to contribute to evaluating and improving AI systems. This remote contractor position targets early-career engineers with strong fundamentals and practical coding experience.

You will evaluate AI-generated code, design problems, craft reference solutions, and develop test cases while reviewing debugging, architecture, and system design reasoning to boost reliability and performance.

Qualifications

• At least one year of professional software engineering experience at a well-established technology company.
• 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.

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.

Skills

Software Engineering Fundamentals

Programming and Coding

Data Structures and Algorithms

Code Review and Quality Assessment

Debugging and Troubleshooting

Automated Testing and Test Case Dev

Problem-Solving and Logical Reasoning

Technical Documentation and Written...

Tools

Git

CI/CD

Job description

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.

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

Preferred Qualifications

• Professional software engineering experience at a recognized technology company.
• Experience developing and maintaining production-quality applications, services, or APIs.
• Familiarity with reviewing complex codebases and identifying implementation weaknesses.
• Experience designing coding exercises, technical assessments, or automated evaluation tests.
• Candidates based in English-speaking countries are preferred.
• Ability to communicate technical findings in clear, structured, and concise English.