Open AI training and model evaluation roles that call for AWS & Cloud expertise, gathered from 4 platforms. Part of Software Engineering.
Pay figures cover the 18 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This role involves designing and building server-side systems, APIs, and data pipelines for AI infrastructure. Back end developers will optimize scalable microservices and databases to support AI training and inference workloads on a remote, flexible contract basis.
This role involves analyzing real-world cloud security scenarios to identify risks, misconfigurations, and failure patterns across AWS, GCP, and Azure. Contractors will evaluate AI-generated security reasoning and help create datasets for training AI models to better understand cloud infrastructure vulnerabilities and incidents.
This is a backend engineering role focused on building and optimizing server-side infrastructure for AI systems. The position involves designing scalable APIs, data pipelines, and microservices that power machine learning and AI products, working remotely on a flexible hourly contract basis.
This is a contract role for back end developers to design, build, and optimize server-side systems and APIs that power AI infrastructure, including data pipelines and model-serving infrastructure. The position is fully remote and flexible, targeting engineers in Brazil who want to work on scalable, high-performance systems supporting AI training and inference workloads.
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 fully remote freelance contract involves simulating attacks against web applications, internal and external networks, and cloud environments to find weaknesses before real adversaries do. It is aimed at experienced offensive security professionals who can manage engagements independently and explain their findings clearly to non-technical stakeholders. The role also includes recurring red-team and purple-team support alongside security operations teams.
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 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 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.
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
A freelance Senior Python Data Scraping Engineer role focused on building and maintaining end-to-end data extraction workflows for complex websites. You will combine web scraping expertise with data processing to deliver high-quality, validated datasets for real-world applications, handling dynamic content and scaling operations efficiently.
Posted October 3, 2026
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
This role involves evaluating the quality and compliance of NKI kernel implementations intended for training advanced AI models. You will examine the fidelity of CUDA to NKI migrations, the quality of Trainium-specific optimizations, and numerical validity across platforms, providing structured and detailed feedback.
Posted August 25, 2026
Join a network of DevOps and platform engineering experts to collaborate with leading AI labs and companies. You will contribute to the training and evaluation of AI models, creating tasks based on real-world scenarios and providing specialized feedback to advance cutting-edge AI research. The roles offer flexible scheduling with typical commitments of 15 to 30 hours per week.
Posted February 20, 2026
This remote-style contract role asks experienced SOC analysts to review and validate security alerts and investigations, separating true positives from false positives across SIEM, endpoint, cloud and identity data. Work includes building ground-truth investigations and judging whether automated or human conclusions are valid, incomplete or incorrect. It suits seasoned Tier 2 or higher analysts who are fluent in Splunk and comfortable making decisive evaluations.
Posted January 18, 2026
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FAQ
19 AWS & Cloud AI training jobs are open on SideHustler today. 2 were 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 18 open roles that publish an hourly rate in USD, pay runs from $20 to $200 per hour, with a median of $60. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (12), Mercor (5), DataAnnotation (1) and Mindrift (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are AWS & Cloud, DevOps & Infrastructure, ML Infrastructure, System Design, Backend Development. 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.
