Open AI training and model evaluation roles that call for DevOps & Infrastructure expertise, gathered from 5 platforms. Part of Software Engineering.
Pay figures cover the 25 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
Design and evaluate infrastructure and automation challenges to train and benchmark AI systems used by leading research labs and Fortune 500 companies. This remote contract role is for experienced DevOps engineers to create realistic cloud infrastructure scenarios, write Infrastructure as Code, and assess how well AI models understand and reason about complex DevOps concepts.
This role involves designing, building, and scaling infrastructure systems that power AI products and services. Senior software engineers will work on production-grade systems supporting AI training, evaluation, and deployment pipelines, writing clean and performant code while collaborating with ML engineers and researchers in a remote, autonomous environment.
This remote contract role centers on designing, building and scaling the backend systems, APIs and data pipelines that support AI model training, evaluation and deployment. It suits experienced software engineers who can work autonomously on production-grade systems and collaborate asynchronously with ML researchers and product managers.
This remote contract role asks a senior engineer to design, build and scale the backend systems behind AI products, including training, evaluation and deployment pipelines. It suits experienced software engineers who enjoy hard architectural problems and want to work asynchronously alongside ML researchers and product managers.
This contract role asks security practitioners to build and check realistic scenarios about networks, endpoints, and email threats for training AI systems. The work centers on reviewing firewall settings, EDR telemetry, and infrastructure cases to explain what failed and why. It suits people with several years of hands-on enterprise security operations experience.
This contract role asks a senior cloud security expert to assess cloud architectures on AWS, Azure, and GCP for design weaknesses, IAM risks, and misconfigurations before they lead to breaches. The work is remote and hourly, with recurring assessments and reports that turn technical findings into prioritized mitigation guidance. It is aimed at experienced cloud security architects who can work on complex, large-scale environments.
This remote contract role asks a senior C++ engineer to design, build and tune high-performance systems that feed data pipelines and evaluation workflows for AI model development. The work also covers annotation tooling, backend services and quality control, with frequent collaboration with data, research and engineering teams. It is aimed at experienced systems engineers who want their code to support frontier AI training at scale.
This contract role centers on designing, building and scaling production software that supports AI training, evaluation and deployment pipelines. It suits experienced backend engineers who can architect reliable systems, debug distributed infrastructure and work independently in an asynchronous, remote team.
This is a remote, hourly contract role for senior software engineers who will help build, test and improve autonomous AI coding agents. The work centers on judging whether AI-written code is correct, efficient, secure and well designed, and on finding where these agents fail. It suits experienced engineers who can read unfamiliar codebases and explain clearly why code works or breaks.
This remote contract role involves designing and building the software that measures how well AI models perform, including evaluation pipelines, automated testing harnesses, and internal dashboards and APIs. It suits senior engineers who have shipped production systems and want to work closely with AI research teams on reliable, repeatable evaluation tooling.
This contract role asks a senior software engineer to build and scale the backend infrastructure behind AI products, working closely with machine learning engineers and researchers. It suits experienced engineers who can work independently on production-grade services, data pipelines, and APIs.
This remote, task-based contract involves designing realistic engineering challenges that evaluate advanced AI agents on enterprise work such as diagnosing failing integrations, tracing bugs, and writing fixes. It is aimed at working software engineers who debug real systems, write infrastructure and configuration code, and can verify their fixes in live or simulated environments.
Evaluate how AI models handle DevOps tasks such as CI/CD pipelines, infrastructure-as-code, and cloud operations. Identify failures in automation, security configurations, and deployment processes, then write correct solutions that a platform engineer would trust.
This full-time role involves building, running and improving highly available cloud infrastructure, mainly on AWS and Kubernetes, for complex enterprise production systems. It suits experienced infrastructure, SRE, DevOps or platform engineers who can debug incidents, build observability with tools like Datadog, and work closely with software teams.
Posted October 7, 2026
Evaluation and comparison of AI model solutions on realistic software engineering tasks: debugging, cross-repository logic tracing, feature implementation, code review, architecture decisions.
This role involves supporting the integration of customer data on the platform by collaborating with experienced engineers. You will build scripts and automations, solve technical problems, and ensure the quality of data transfers while communicating with customers. The role offers progression toward a full engineer position over time.
Posted September 14, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This role consists of evaluating specialized applications as an expert user of Linux Ubuntu 24.04. You must have practical and real-world experience with this operating system and be able to provide detailed feedback via high-resolution screenshots. The sought profile includes system administrators, DevOps developers, and open-source contributors.
Posted September 13, 2026
This role involves testing and documenting the practical use of VMware Fusion on macOS as a specialized application. You will need to capture detailed screenshots of your interactions with the software in a real macOS environment that you already own. This profile is aimed at developers, system administrators, or DevOps engineers with concrete experience in virtualization.
Posted September 13, 2026
This job involves designing, analyzing, and validating analog, digital, power, mixed-signal, or radio frequency circuits as part of an AI training project. You will translate electrical specifications into schematics and netlists, run simulations and verification tools via command line, and automate workflows using Python. This is a role strongly focused on programming and computer-aided design tools.
Posted September 7, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
You will assess the quality and architectural robustness of serverless AWS tasks and infrastructure-as-code designed for AI model training. Your role consists of analyzing multi-service designs, verifying the fidelity of infrastructure code, and providing detailed feedback based on evaluation grids. This profile is aimed at cloud engineers with solid practical experience in AWS serverless services.
Posted August 28, 2026
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FAQ
26 DevOps & Infrastructure AI training jobs are open on SideHustler today. 1 was posted in the last 7 days. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 25 open roles that publish an hourly rate in USD, pay runs from $20 to $200 per hour, with a median of $80. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (12), Mercor (9), micro1 (3), DataAnnotation (1) and Handshake AI (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are DevOps & Infrastructure, System Design, Code Quality & Review, AI Evaluation, AWS & Cloud. Each listing states its own requirements.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
