You will design practical AWS tasks, document them clearly in SuperAnnotate, ensure your setup supports the task, and record yourself executing the task on your computer.

Tasks may include navigating the AWS Console, configuring basic cloud resources, working with IAM, S3, EC2, Lambda, CloudWatch, VPC basics, billing views, security settings, deployment workflows, documentation, or cloud troubleshooting scenarios. Your work will help train advanced AI models to better understand how real users complete practical cloud-computing workflows.

Your AWS expertise directly helps improve the world’s premier AI models by teaching them how real users complete cloud setup, configuration, monitoring, and troubleshooting tasks.

Why Work with SME Careers?

• Be a part of a forward-thinking team and help us train AI to communicate more effectively.
• Shape the Future of AI

  Your work directly contributes to how AI systems learn and communicate.

• Your Schedule, Your Rules

  Set your own hours and work around your life.

• Weekly Pay

  Receive fast, reliable payments once work is approved.

• Community Rewards

  Get rewarded for referrals with ongoing bonus income.

• Create realistic AWS tasks: Come up with realistic and challenging tasks that can be executed on the computer using AWS, then document the task clearly in SuperAnnotate.
• Prepare the work environment: Ensure your setup supports the task, including having AWS access, permissions, test resources, sample files, and any required references ready before recording.
• Record task execution: Record yourself executing the AWS task on your computer while following project instructions and ensuring the workflow is clear, complete, realistic, and safe.
• Document task context: Provide enough task context, steps, goals, resource details, files, and notes so reviewers can understand what the task is and how it was completed.
• Demonstrate practical software use: Complete workflows involving AWS Console navigation, S3, IAM, EC2, Lambda, CloudWatch, billing views, security groups, deployment, or troubleshooting where relevant.
• Maintain submission quality: Review your recording and documentation before submission to ensure the task is complete, understandable, realistic, safe, and aligned with project guidelines.

• Hands-on experience using AWS for cloud setup, configuration, monitoring, storage, compute, permissions, deployment, or troubleshooting workflows.
• Comfortable using a computer, browser-based tools, cloud consoles, documentation, terminals where needed, and recording workflows.
• Ability to come up with realistic and challenging AWS tasks that reflect actual cloud, DevOps, backend, admin, data, or infrastructure use cases.
• Strong understanding of AWS basics such as IAM, S3, EC2, Lambda, CloudWatch, security groups, regions, billing awareness, and resource configuration.
• Ability to ensure your setup supports the task, including having AWS access, permissions, sample resources, safe test environments, and any required references ready before recording.
• High attention to detail when preparing the task, executing the workflow, and checking that the recording is complete, safe, and understandable.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Additional professional skills are appreciated, including cloud engineering, DevOps, backend development, cybersecurity, data engineering, coding, admin, operations, or other computer-based workflows.

Required

Work arrangement: Fully remote

Eligible countries: Bangladesh, India, Pakistan