Job Description
About the Role
We are looking for skilled Cloud Engineers to support advanced AI evaluation initiatives focused on cloud infrastructure, distributed systems, DevOps workflows, and scalable computing environments.
In this role, you will work with AI-generated outputs related to cloud architecture, deployment pipelines, containerization, infrastructure automation, and system reliability, helping improve how AI models understand and solve real-world cloud engineering challenges.
Your expertise will contribute to improving AI systems used for infrastructure management, cloud automation, and scalable application deployment.
Responsibilities
- Create deliverables addressing common requests within your professional domain
- Annotate and evaluate AI-generated responses related to cloud infrastructure and DevOps workflows
- Review peer-developed deliverables to improve AI research quality and consistency
- Assess AI outputs for scalability, reliability, security, performance, and operational efficiency
- Identify infrastructure gaps, deployment issues, or optimization opportunities in AI-generated solutions and provide structured feedback
- Contribute domain expertise to improve AI systems focused on cloud computing and infrastructure automation
- Work with workflows involving CI/CD, monitoring, cloud security, and infrastructure management
Requirements
- Background in Cloud Computing, DevOps, Infrastructure Engineering, Computer Science, or related fields
- Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)
- Familiarity with Docker, Kubernetes, CI/CD pipelines, Linux systems, and infrastructure automation tools
- Experience with monitoring, cloud security, networking, or distributed systems is preferred
- Ability to critically evaluate cloud architectures and deployment workflows
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- Strong analytical and troubleshooting skills
- Ability to work independently in a remote, fast-paced environment
Why Join Us
- Competitive hourly pay: ₹1800 – ₹2500/hour
- Fully remote with flexible working hours
- Opportunity to contribute to cutting-edge AI and cloud infrastructure research
- Exposure to scalable systems, DevOps workflows, and AI-powered cloud technologies
- Flexible project-based opportunities with global teams
Skills
Cloud ComputingDevopsDistributed SystemsKubernetesLinuxCloudIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
22 Jul 26, 06:20 PM IST
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