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AWS Specialist

Xperteez Technology

Contract
Location
India
Work mode
Not stated
Posted 7 days ago Last checked 4 hr ago

Free · takes a minute · your resume fills your profile

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Role at a glance

You will
  • Create realistic AWS tasks: Come up with realistic and challenging tasks that can be executed on the computer using AWS, then document the…
  • Prepare the work environment: Ensure your setup supports the task, including having AWS access, permissions, test resources, sample files…
  • Record task execution: Record yourself executing the AWS task on your computer while following project instructions and ensuring the…
Must-have skills
AWSData EngineeringIAM
Work mode
Remote

How well do your skills match this job?

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Job description

Location: Remote, India

Type: contract

Location: remote

Interview language: English

About this role

In this hourly, remote contractor role, you will work as an AWS Specialist to create realistic, challenging computer-based tasks using Amazon Web Services and related cloud workflows. 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.

This role is a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. 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.

Skills & technologies

AWS

Cloud Computing

AWS Console

Lambda

S3

EC2

DevOps

IAM

Screen Recording

English

Your profile

Hands-on experience using AWS for cloud setup, configuration, monitoring, storage, compute, permissions, deployment, or troubleshooting workflows.

English proficiency at B2 level or higher to understand project instructions, document tasks clearly, and communicate with the project team.

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.

Key responsibilities

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.

Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.

Key skills

Required

AWSData EngineeringIAM

Soft skills

Attention to Detail

Job market insights

2,689active AWS jobs in India
618active Data Engineering jobs in India
394active IAM jobs in India
2 more open jobs at Xperteez Technology

Jobs asking for AWS in India also ask for

  • Microsoft Azure56%
  • Python55%
  • Google Cloud Platform (GCP)47%
  • CI/CD43%
  • Kubernetes35%

From live job posts on CoreHRx, updated 6 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

Where is this job based?

It is a remote job.

What kind of job is this?

It is a contract job.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

  1. What is the difference between an AWS Region and an Availability Zone?
  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
  4. What is Amazon S3, and what are its main storage classes?

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