AI Code Training Specialist (RLHF & Data Annotation)

KHEYDIGIT; Bengaluru; Remote; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading tech company is seeking an AI Code Training Specialist to enhance the abilities of next-generation AI models. This role focuses on code annotation and prompt engineering, requiring a strong command of technical writing and code review experience. The ideal candidate will analyze and improve AI's code generation abilities, ensuring adherence to strict quality standards. Candidates should be detail-oriented and able to explain complex concepts clearly. Applications should be sent to the provided email only from qualified candidates.

Qualifications

• Exceptional command of written English to explain complex technical concepts simply.
• A keen eye for syntax errors, edge cases, and inefficient logic.
• Experience in reviewing pull requests or mentoring junior developers is highly preferred.

Responsibilities

• Analyze complex code snippets and provide detailed explanations.
• Create high-quality user prompts and corresponding code solutions.
• Review AI-generated code and rank outputs based on accuracy and efficiency.
• Ensure all code adheres to strict style guides.
• Identify why models fail to generate correct code and provide feedback.

Skills

Technical Writing Skills

Detail-Oriented

Code Review Experience

Job description

Overview

Job Title: AI Code Training Specialist (RLHF & Data Annotation)

Location: Remote

Notice Period: Immediate Joiner - Only

Experience: 6-8 Years

Shift: EST shift 5pm - 1am

About the Role: We are looking for an experienced Software Developer who is passionate about code quality, readability, and education. In this role, you will not be building commercial applications; instead, you will be "teaching" next-generation AI models how to write, debug, and understand complex code.

Your work will directly improve the AI’s ability to generate accurate, secure, and efficient code from natural language prompts. This is a unique opportunity to sit at the intersection of Software Engineering and Generative AI.

Key Responsibilities

• Code Annotation: Analyze complex code snippets and write detailed, grammatically perfect explanations (docstrings/comments) describing the logic, syntax, and functionality.
• Prompt Engineering: Create high-quality "User Prompts" (natural language instructions) and corresponding "Gold Standard" code solutions to train the model.
• Reinforcement Learning (RLHF): Review code generated by AI models. Rank different outputs based on accuracy, efficiency, and style, and explicitly correct errors.
• Quality Assurance: ensure all code in the training set adheres to strict style guides (e.g., PEP 8 for Python) and is free of security vulnerabilities.
• Error Analysis: Identify why a model failed to generate the correct code (e.g., logic error vs. syntax error) and provide feedback to improve future performance.

Who We Are Looking For

• Technical Writing Skills: Exceptional command of written English. You can explain complex technical concepts simply and clearly.
• Detail-Oriented: You have a hawk-eye for syntax errors, edge cases, and inefficient logic. You care deeply about code style and formatting.
• Code Review Experience: Experience reviewing pull requests (PRs) or mentoring junior developers is highly preferred.

Applications will be considered at [e-mail] only from candidates meeting the JD criteria.