Open AI training and model evaluation roles that call for System Design expertise, gathered from 8 platforms. Part of Software Engineering.
Pay figures cover the 89 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 designing and optimizing high-performance C backend systems and data pipelines for AI model training and evaluation. The position is ideal for experienced full-stack engineers who want to build production-grade infrastructure used by leading AI research organizations.
This role involves designing and optimizing Python-based backend systems for data annotation, validation, and AI model training infrastructure. The position requires a senior full-stack engineer to build high-performance data pipelines, asynchronous task queues, and evaluation systems used by leading AI labs.
This role involves evaluating and providing feedback on AI-generated Python code for correctness, efficiency, and security while designing complex backend algorithmic solutions. It is designed for experienced backend Python developers who want to contribute to cutting-edge AI research by helping train the next generation of AI systems to write better code.
This role involves evaluating and providing feedback on AI-generated Rust code to help improve AI systems' understanding of systems-level programming. You will review code for correctness, memory safety, and performance, working independently on a flexible remote contract basis.
This role involves reviewing and evaluating AI-generated Rust code to ensure correctness, memory safety, and systems-level performance. Experienced Rust engineers will assess the quality of AI outputs, design challenging problems to test AI understanding, and provide structured feedback to improve how AI models reason about systems programming.
This role involves building and optimizing high-performance backend systems and tooling in Rust to support AI data pipelines, annotation workflows, and evaluation systems. You will work on production infrastructure that powers advanced AI model training, collaborating with research and engineering teams on scalable solutions.
A senior C++ engineer will design and build high-performance data pipelines, annotation tooling, and evaluation infrastructure for AI systems. The role involves optimizing backend services for large-scale data processing and quality control in support of model training and validation.
Design and build high-performance C++ systems for AI data pipelines, evaluation workflows, and internal tooling. This role involves optimizing production codebases, developing backend services for data annotation and quality control, and collaborating with research teams to support model training infrastructure.
This role involves designing and optimizing high-performance C++ systems for AI infrastructure, including data pipelines, annotation tooling, and evaluation workflows. The position is ideal for senior C++ engineers who specialize in performance optimization and want to contribute to cutting-edge AI research infrastructure.
This role involves reviewing and evaluating C++ code generated by AI systems to assess its correctness, efficiency, and style. You will provide detailed feedback to help train AI models to better understand C++ programming across various domains and difficulty levels.
This role involves designing complex computer engineering challenges and evaluating AI-generated solutions across hardware and systems domains. You will create technical ground-truth solutions, audit AI code and designs, and provide structured feedback to improve model reasoning on topics like computer architecture, embedded systems, and operating systems.
A senior C++ engineer is needed to design and optimize high-performance data pipelines, annotation tooling, and evaluation systems for leading AI research teams. This fully remote contract role involves full-stack development, system optimization, and collaboration with data and research teams on production-grade infrastructure.
Design and build high-performance Rust systems for AI data infrastructure, including data pipelines, annotation tooling, and evaluation systems that support large-scale AI research. This is a fully remote contract role for senior engineers with deep expertise in systems optimization and concurrent programming.
A senior Python engineer will design and optimize high-performance data pipelines, annotation tooling, and evaluation systems for AI model training at scale. This fully remote contract role requires building full-stack infrastructure that processes large datasets and supports research workflows across distributed teams.
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 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 asks experienced TypeScript developers to review and critique AI-generated frontend code for type safety, interface accuracy, and architecture. The work also includes building reference components and explaining type-driven design choices so that AI models can learn from expert reasoning. It suits independent developers with several years of hands-on frontend experience who work well without supervision.
This remote contract role asks experienced full-stack developers to review and evaluate code and system designs produced by AI models. The work also includes building tooling for data annotation and quality control, done asynchronously on a flexible schedule. It suits engineers with several years of production experience who can give precise technical feedback.
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.
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FAQ
93 System Design 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 89 open roles that publish an hourly rate in USD, pay runs from $20 to $350 per hour, with a median of $75. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (46), Mercor (29), micro1 (9), DataAnnotation (5), Handshake AI (1), Terac (1), Vetto (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 System Design, Code Quality & Review, Backend Development, AI Evaluation, ML 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.
