{"schemaVersion":"jobsearcher.job.v1","id":"ed642a90bc612fd4e69e38f4","url":"https://jobsearcher.com/jobs/ed642a90bc612fd4e69e38f4","canonicalUrl":"https://jobsearcher.com/jobs/ed642a90bc612fd4e69e38f4","title":"DevOps Engineer for AI Model Training","description":"Role Overview Join an expert network that connects DevOps and Platform Engineering professionals with AI labs and companies for contract work. This is an open application to join a pool of experts for future contract opportunities that match your skills and interests, not a posting for a single, immediate opening. Key Responsibilities Contribute to training and evaluating AI models that require DevOps and platform engineering expertise.Create tasks and deliverables that reflect real world engineering scenarios.Provide domain specific feedback to improve frontier AI research and model behavior.Work independently on remote projects, following client and project requirements. Qualifications Professional experience with CI/CD pipelines.Experience managing cloud infrastructure on AWS, GCP, or Azure.Familiarity with containerization and orchestration tools, such as Docker and Kubernetes.Strong verbal and written communication skills.Ability to work independently in a remote environment. Work Terms Engagement type, hourly contract roles for matched projects.Location, remote.Typical project time commitment varies, commonly 15 to 30 hours per week, projects vary in scope and duration.Matching to projects happens on a rolling basis as opportunities become available. Compensation Hourly rate range, 70 to 150 per hour. Rates depend on project scope and your experience. Eligibility and How to Join This is an open application to join the talent network. Completing the application does not guarantee immediate placement.Application steps, complete your profile by uploading your resume and confirming your work location, then complete the required AI interview.Verification process, credentials and interview results are reviewed to approve qualified experts for matching.Once approved, you become eligible for project matches. When a suitable project is available, you may be invited to interview for that specific opportunity.If selected, you will work remotely on a contract basis and earn competitive hourly rates according to the project agreement.","company":"Saidgig","rawCompany":"saidgig","city":"Dearing","state":"KS","isRemote":false,"isActive":false,"createdAt":"2026-08-04T01:36:19.390Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"DevOps Engineer for AI Model Training","description":"Role Overview Join an expert network that connects DevOps and Platform Engineering professionals with AI labs and companies for contract work. This is an open application to join a pool of experts for future contract opportunities that match your skills and interests, not a posting for a single, immediate opening. Key Responsibilities Contribute to training and evaluating AI models that require DevOps and platform engineering expertise.Create tasks and deliverables that reflect real world engineering scenarios.Provide domain specific feedback to improve frontier AI research and model behavior.Work independently on remote projects, following client and project requirements. Qualifications Professional experience with CI/CD pipelines.Experience managing cloud infrastructure on AWS, GCP, or Azure.Familiarity with containerization and orchestration tools, such as Docker and Kubernetes.Strong verbal and written communication skills.Ability to work independently in a remote environment. Work Terms Engagement type, hourly contract roles for matched projects.Location, remote.Typical project time commitment varies, commonly 15 to 30 hours per week, projects vary in scope and duration.Matching to projects happens on a rolling basis as opportunities become available. Compensation Hourly rate range, 70 to 150 per hour. Rates depend on project scope and your experience. Eligibility and How to Join This is an open application to join the talent network. Completing the application does not guarantee immediate placement.Application steps, complete your profile by uploading your resume and confirming your work location, then complete the required AI interview.Verification process, credentials and interview results are reviewed to approve qualified experts for matching.Once approved, you become eligible for project matches. When a suitable project is available, you may be invited to interview for that specific opportunity.If selected, you will work remotely on a contract basis and earn competitive hourly rates according to the project agreement.","datePosted":"2026-08-04T01:36:19.390Z","dateModified":"2026-08-04T01:36:19.390Z","hiringOrganization":{"@type":"Organization","name":"Saidgig","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearing","addressRegion":"KS","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ed642a90bc612fd4e69e38f4"},"url":"https://jobsearcher.com/jobs/ed642a90bc612fd4e69e38f4"}}