AWS Specialist

$25/year

40 people hired

RemoteGlobalTechnology3-5 YearsContractPosted Aug 31, 2026

About this role

SME Careers is hiring AWS Specialists to create realistic and challenging cloud-computing tasks that help train advanced AI models. The role involves designing practical AWS workflows, preparing safe test environments and required resources, documenting tasks clearly in SuperAnnotate, and recording complete task execution on your computer. Typical workflows may include AWS Console navigation, IAM, S3, EC2, Lambda, CloudWatch, VPC basics, security groups, billing views, deployment, and cloud troubleshooting. This opportunity is ideal for professionals with strong hands-on AWS experience, cloud-computing knowledge, and the ability to create safe and realistic infrastructure workflows.

Responsibilities

Create realistic and challenging AWS tasks involving cloud configuration, storage, compute, permissions, deployment, monitoring, and troubleshooting.
Prepare AWS access, permissions, test resources, sample files, safe environments, and required references before recording each workflow.
Record complete task execution while ensuring the workflow is clear, realistic, secure, and aligned with project instructions.
Document task goals, resource details, files, steps, and relevant context clearly in SuperAnnotate.
Review recordings and documentation before submission to ensure completeness, technical accuracy, safety, clarity, and consistent quality.

Qualifications

Hands-on experience using AWS for cloud setup, configuration, monitoring, storage, compute, permissions, deployment, or troubleshooting.
English proficiency at B2 level or higher with the ability to understand instructions and document technical workflows clearly.
Strong understanding of IAM, S3, EC2, Lambda, CloudWatch, security groups, regions, billing awareness, and AWS resource configuration.
Comfortable using cloud consoles, browser-based tools, documentation, terminals, test resources, permissions, and screen-recording workflows.
Reliable, self-directed, detail-oriented, and capable of creating realistic AWS tasks for cloud, DevOps, backend, data, administration, or infrastructure use cases.