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
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🗓️ - 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.).