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Vacancy description

Junior Software Engineer in भारत

Recruitment Room

  • RemoteWork from anywhere
  • Full-timeStandard weekly hours
  • ContractFixed-term or freelance

$288k USD - $384k USD / year

भारत

Junior Software Engineer

Employment Type: Contractor
Work Arrangement: Remote
Eligible Locations: English-speaking countries

Compensation

Hourly Rate: $150–$200 per hour

Annualized Full-Time Equivalent: $288,000–$384,000 per year

The annualized figure is based on 40 hours per week and 48 working weeks per year. It is for comparison only; actual earnings depend on project availability, tasks completed, and hours worked.

About the Role

We are seeking Junior Software Engineers with strong software development fundamentals to evaluate AI-generated code and develop challenging engineering problems that test real-world programming capabilities.

In this remote contract role, you will assess code for correctness, quality, and design, create coding problems with reference solutions and test cases, and evaluate AI-generated reasoning across software architecture, debugging, and system design.

This opportunity is suited to software engineers with recent experience at leading technology companies who can apply sound engineering judgment and explain technical decisions clearly.

Key Responsibilities

Code Evaluation & Review

  • Evaluate AI-generated code for correctness, quality, maintainability, and design.

  • Review implementations for logical errors, inefficient approaches, and potential defects.

  • Assess whether generated solutions follow sound software engineering principles.

  • Identify weaknesses in code structure, algorithms, and implementation choices.

Engineering Problem Development

  • Create challenging coding problems that test practical software engineering skills.

  • Develop reference solutions demonstrating correct and effective implementations.

  • Write test cases to verify functional correctness and identify edge cases.

  • Ensure problems and expected solutions provide reliable assessments of coding ability.

Architecture & Technical Reasoning

  • Evaluate AI-generated reasoning about software architecture and system design.

  • Review approaches to debugging, problem decomposition, and technical decision-making.

  • Assess the suitability of proposed solutions for the engineering problems presented.

  • Identify gaps in reasoning and explain how solutions could be improved.

Technical Feedback & Documentation

  • Provide detailed feedback on code quality, correctness, design, and reasoning.

  • Clearly document technical issues and explain relevant engineering decisions.

  • Help improve AI performance on practical software development tasks through structured evaluations.

Required Qualifications

  • At least one year of professional software engineering experience at a leading technology company.

  • At least part of that experience must fall within the past three years.

  • Strong software engineering fundamentals, including algorithms and data structures.

  • Understanding of software architecture, system design, debugging, and code review.

  • Ability to evaluate code for correctness, quality, and design.

  • Strong analytical and problem-solving skills.

  • Ability to explain technical decisions clearly in writing.

  • Based in an English-speaking country.

Key Skills

  • Software Engineering

  • Code Review

  • System Design

  • Software Architecture

  • Algorithms

  • Data Structures

  • Debugging

  • Code Quality Assessment

  • Technical Problem-Solving

  • Coding Problem Development

  • Reference Solution Development

  • Test Case Design

  • AI-Generated Code Evaluation

  • Technical Reasoning

  • Written Technical Communication

Work Environment

This is a remote, hourly contract opportunity focused on software engineering evaluation and AI model improvement.

You will review generated code, develop engineering problems and test cases, assess technical reasoning, and provide structured feedback on the quality of AI-generated solutions.

What Success Looks Like

Success means accurately identifying code defects, evaluating engineering decisions, and creating challenging problems with reliable reference solutions and test cases.

Your work should demonstrate sound engineering judgment, technical precision, and clear written explanations that help improve AI performance on real-world software development tasks.

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