Open AI training and model evaluation roles that call for Kubernetes & Docker expertise, gathered from 5 platforms. Part of Software Engineering.
Pay figures cover the 13 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 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 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.
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
This job involves evaluating the quality and compliance of Kubernetes scenarios for AI model training. You will analyze manifests, diagnose cluster failures, and provide structured feedback according to an evaluation grid, as a DevOps expert or platform engineer.
Posted August 28, 2026
This role involves evaluating the quality, correctness, and reproducibility of software engineering tasks used to train and test the AI models of a leading laboratory. You audit tasks at the repository level, baseline patches, test harnesses, and scoring system integrity, providing structured feedback based on an evaluation grid.
Posted August 28, 2026
Evaluate the quality and compliance of vulnerability reproduction and remediation exercises designed to train AI models. Your role consists of verifying the accuracy of CVE reproductions, the robustness of fixes, the rigor of verification tests, and the adequacy of Docker environments, while providing detailed and structured feedback.
Posted August 25, 2026
This role invites experienced software engineers to evaluate and design migration strategies for complex codebases, particularly in mission-critical environments. You will analyze existing systems to identify safe modernization approaches and verify the quality of solutions generated by AI, while preserving functionality and security.
Posted August 22, 2026
This role supports AI model training by writing, correcting, and curating code examples in specialized programming languages. It suits experienced software engineers who can judge whether code meets professional standards for performance, scalability, and reliability.
Posted February 26, 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
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FAQ
15 Kubernetes & Docker 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 13 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 (6), Mercor (6), DataAnnotation (1), Mindrift (1) and xAI (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Kubernetes & Docker, AI Evaluation, AWS & Cloud, Code Quality & Review, DevOps & Infrastructure. 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.
