{"id":3545606,"url":"https://alion.io/job/xperteez-technology-aws-specialist","title":"AWS Specialist","company":{"id":4435561,"name":"Xperteez Technology","domain":"xperteez.co.in","url":"https://alion.io/company/xperteez-technology","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dover","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN","BD"],"hiring_countries_total":2,"salary":{"min":25,"max":25,"currency":"USD","period":"hour","gross":null,"usd_annual":50000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"IAM","optional":false}],"status":"live","first_seen_at":"2026-10-30T18:30:28Z","employer_posted_date":null,"last_verified_at":"2026-10-30T18:30:28Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Type: contract\nLocation: remote\nInterview language: English\nAbout this roleIn 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.\nTasks 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.\nThis 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.\nSkills & technologies\nAWS\n\nCloud Computing\n\nAWS Console\n\nLambda\n\nS3\n\nEC2\n\nDevOps\n\nIAM\n\nScreen Recording\n\nEnglish\n\nYour profile\nHands-on experience using AWS for cloud setup, configuration, monitoring, storage, compute, permissions, deployment, or troubleshooting workflows.\n\nEnglish proficiency at B2 level or higher to understand project instructions, document tasks clearly, and communicate with the project team.\n\nComfortable using a computer, browser-based tools, cloud consoles, documentation, terminals where needed, and recording workflows.\n\nAbility to come up with realistic and challenging AWS tasks that reflect actual cloud, DevOps, backend, admin, data, or infrastructure use cases.\n\nStrong understanding of AWS basics such as IAM, S3, EC2, Lambda, CloudWatch, security groups, regions, billing awareness, and resource configuration.\n\nAbility to ensure your setup supports the task, including having AWS access, permissions, sample resources, safe test environments, and any required references ready before recording.\n\nHigh attention to detail when preparing the task, executing the workflow, and checking that the recording is complete, safe, and understandable.\n\nReliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.\n\nAdditional professional skills are appreciated, including cloud engineering, DevOps, backend development, cybersecurity, data engineering, coding, admin, operations, or other computer-based workflows.\n\nKey responsibilities\nCreate 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.\n\nPrepare 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.\n\nRecord 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.\n\nDocument 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.\n\nDemonstrate practical software use: Complete workflows involving AWS Console navigation, S3, IAM, EC2, Lambda, CloudWatch, billing views, security groups, deployment, or troubleshooting where relevant.\n\nMaintain submission quality: Review your recording and documentation before submission to ensure the task is complete, understandable, realistic, safe, and aligned with project guidelines.\n\nOriginally posted on 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