AWS Cloud Engineer for AI Training

AWS Cloud Engineer (Remote)

Industry: Cloud Computing / Artificial Intelligence / Software Engineering / AI Training

Work Setting: Fully Remote / Contract / Freelance

🚀 About the Opportunity

A global AI organisation is looking for a Cloud Engineer (AWS-focused) to help improve and train next-generation AI systems and large language models.

This is a unique opportunity to apply your cloud engineering and software skills in a cutting-edge AI training environment, where your expertise directly contributes to improving how AI systems understand, generate, and evaluate technical solutions.

You’ll work on evaluating code, solving complex engineering problems, and providing high-quality technical feedback that helps shape the future of intelligent systems used by leading AI labs worldwide.

💡 What You’ll Be Doing

• Create and solve software engineering and cloud-related problems for AI training

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• Review, analyse, and evaluate AI-generated code for accuracy and efficiency
• Provide structured, high-quality feedback to improve AI system outputs
• Help train AI models to better understand programming, architecture, and system design
• Assess technical correctness across backend, cloud, and distributed system scenarios
• Contribute to improving AI reasoning, reliability, and performance

🧠 What We’re Looking For

• Bachelor’s degree or higher in Computer Science or related technical field
• Strong proficiency in Python, Java, JavaScript, or C++
• Solid understanding of cloud concepts (AWS or similar platforms)

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• Ability to clearly explain complex technical concepts in English and Spanish
• Strong analytical thinking and attention to detail
• Experience reviewing or working with software systems and production code

⭐ Preferred Experience

• 1+ years experience in software engineering, backend development, or cloud engineering
• Familiarity with AWS services (EC2, S3, Lambda, IAM, etc.)
• Experience with API design, distributed systems, or infrastructure workflows
• Exposure to AI, machine learning, or LLM-related projects
• Experience evaluating code quality or debugging complex systems