

Coding Raters – GenAI Data
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for "Coding Raters – GenAI Data" with a contract length of "unknown" and a pay rate of "unknown." Candidates should have strong software engineering or AI/ML backgrounds, programming proficiency in Python, and familiarity with web technologies and data science.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
-
🗓️ - Date discovered
September 10, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Compliance #Flask #PHP #Data Processing #NLP (Natural Language Processing) #Debugging #Python #React #Reinforcement Learning #Data Science #JavaScript #Ruby #TensorFlow #Web Scraping #Datasets #TypeScript #Model Evaluation #C++ #Version Control #GitHub #ML (Machine Learning) #SQL (Structured Query Language) #Libraries #NoSQL #PyTorch #Programming #Computer Science #GIT #Visualization #AI (Artificial Intelligence) #Mathematics
Role description
We are hiring Expert Coding Raters to evaluate and improve the quality of AI model outputs involving code, ML/AI, and technical content. This role is ideal for experienced software engineers, ML/AI specialists, or coding professionals who want to contribute to the development of next-generation AI systems.
🔹 Key Responsibilities
• Model Evaluation: Assess AI-generated code for correctness, efficiency, readability, and compliance with best practices.
• Code Annotation & Labeling: Accurately generate, annotate, and label code snippets and algorithms.
• Comparative Analysis: Compare multiple outputs and rank them against evaluation criteria.
• Feedback & Review: Provide detailed, constructive feedback to improve model performance.
• Data Validation: Validate and refine datasets for model training and evaluation.
• Collaboration: Work with data scientists and engineers on annotation guidelines and project strategies.
🔹 Required Qualifications
• Strong background in Software Engineering, Computer Science, AI/ML, or related technical fields.
• Programming Proficiency:
• Must-have: Python
• Plus one or more: JavaScript, TypeScript, C, C++, Node.js, Rust, Shell, Go, Ruby, Swift, PHP, Kotlin
• Knowledge of web technologies & frameworks (APIs, web scraping, Flask, React, Node.js, etc.).
• Solid understanding of Machine Learning & AI (TensorFlow, PyTorch, NLP, Reinforcement Learning, Computer Vision, etc.).
• Strong background in Data Science & Engineering (SQL/NoSQL, data processing, visualization libraries).
• Knowledge of algorithms, mathematics, and optimization techniques.
• Familiarity with software engineering best practices, version control (Git/GitHub), and debugging.
• Excellent attention to detail, problem-solving, and communication skills.
🔹 Preferred Qualifications
• Experience with LLMs and AI-driven code generation.
• Background in code review, QA, or data annotation.
• Knowledge of multiple programming paradigms (object-oriented, functional, etc.).
We are hiring Expert Coding Raters to evaluate and improve the quality of AI model outputs involving code, ML/AI, and technical content. This role is ideal for experienced software engineers, ML/AI specialists, or coding professionals who want to contribute to the development of next-generation AI systems.
🔹 Key Responsibilities
• Model Evaluation: Assess AI-generated code for correctness, efficiency, readability, and compliance with best practices.
• Code Annotation & Labeling: Accurately generate, annotate, and label code snippets and algorithms.
• Comparative Analysis: Compare multiple outputs and rank them against evaluation criteria.
• Feedback & Review: Provide detailed, constructive feedback to improve model performance.
• Data Validation: Validate and refine datasets for model training and evaluation.
• Collaboration: Work with data scientists and engineers on annotation guidelines and project strategies.
🔹 Required Qualifications
• Strong background in Software Engineering, Computer Science, AI/ML, or related technical fields.
• Programming Proficiency:
• Must-have: Python
• Plus one or more: JavaScript, TypeScript, C, C++, Node.js, Rust, Shell, Go, Ruby, Swift, PHP, Kotlin
• Knowledge of web technologies & frameworks (APIs, web scraping, Flask, React, Node.js, etc.).
• Solid understanding of Machine Learning & AI (TensorFlow, PyTorch, NLP, Reinforcement Learning, Computer Vision, etc.).
• Strong background in Data Science & Engineering (SQL/NoSQL, data processing, visualization libraries).
• Knowledge of algorithms, mathematics, and optimization techniques.
• Familiarity with software engineering best practices, version control (Git/GitHub), and debugging.
• Excellent attention to detail, problem-solving, and communication skills.
🔹 Preferred Qualifications
• Experience with LLMs and AI-driven code generation.
• Background in code review, QA, or data annotation.
• Knowledge of multiple programming paradigms (object-oriented, functional, etc.).