Coding Expert Raters - UK

Work Location: UK Remote 

Engagement Model: Freelancer / Independent Contractor  
Start Date: ASAP 

Qualification Requirements: Successful completion of a role-specific written assessment and a background check. 

Main Responsibilities: 

• Model Quality Assessment: Evaluate the quality of AI model responses that include code, machine learning, AI, identifying errors, inefficiencies, and non-compliance with established standards.

• Code Annotation and Labeling: Accurately generate, annotate and label code snippets, algorithms, and technical documentation according to project-specific guidelines.

• Review and Feedback: Provide detailed, constructive feedback on model and other outputs

• Comparative Analysis: Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices.

• Data Validation: Validate and correct datasets to ensure high-quality data for model training and evaluation.

• Collaboration: Work closely with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and contribute to the overall project strategy.

Requirements

• Programming: Proficient in Python (required) and at least one additional language such as JavaScript, Node.js, TypeScript, C/C++, or Rust. Bonus for experience with Go, Swift, Ruby, PHP, or Kotlin.

• Web Technologies: Experience with web scraping, APIs, HTML/CSS/JavaScript, and both frontend (React) and backend (Node.js, Flask) development.

• Machine Learning & AI: Knowledge of ML model development, deep learning frameworks (TensorFlow, PyTorch), NLP, reinforcement learning, computer vision, and game AI.

• Data Science & Engineering: Skilled in data analysis, visualization (Pandas, Matplotlib, NumPy), and database management (SQL, NoSQL).

• Algorithms & Math: Understanding of general and specialized algorithms, optimization, and problem-solving techniques.

• Software Engineering Practices: Familiarity with Git/GitHub, clean coding principles, software design patterns, and debugging.

Preferred Qualifications: 

• Experience with AI/ML concepts, particularly with large language models (LLMs) and code generation. 

• Familiarity with various programming paradigms (e.g., object-oriented, functional). 

• Experience with code review in a professional or academic setting. 

• Experience in data annotation or similar quality assurance roles. 

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains. To learn more about DataForce please visit us at https://www.transperfect.com/dataforce.

For more information on the TransPerfect Family of Companies, please visit our website at www.transperfect.com