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 contract role asks you to review code produced by AI models and to write backend solutions yourself, covering server-side logic and API design at several difficulty levels. It suits backend engineers who can judge code on correctness, efficiency and clarity and explain their reasoning in clear English. The work is fully remote and asynchronous, with a minimum of 15 hours per week.
This remote contract role asks Ruby engineers to review, evaluate and improve backend coding scenarios that are used to train AI systems. It suits experienced developers who can judge code quality, explain their reasoning clearly and work independently on task-based assignments.
This is a remote hourly contract for a senior Rust engineer who will design and maintain high-performance data pipelines, annotation tooling, and evaluation systems used to train AI models. The work is production-focused, involves backend and tooling services, and suits engineers who can work independently with research and data teams.
This is a remote hourly contract for senior systems engineers who will build and tune the C++ infrastructure behind AI data pipelines, annotation tools and model evaluation. The work centers on performance, reliability and production fixes, carried out alongside research and engineering teams. It suits experienced C++ developers with a systems background who want to work on the infrastructure used to train and ship AI models.
This remote contract role asks senior TypeScript developers to review AI-generated code for type safety, scalability and modern practices. The work centers on writing structured feedback that helps AI models understand architectural choices and type logic. It is aimed at experienced developers who can work independently on flexible hourly commitments.
This contract role asks TypeScript developers to review and improve AI-generated code so it is type-safe, idiomatic, scalable and ready for production. It is aimed at senior developers with deep TypeScript knowledge who can clearly explain why a piece of code is well designed. No prior AI background is required.
Backend engineers will evaluate how AI models reason about system design, data modeling, and API contracts, identifying failures like race conditions and N+1 queries that only surface under real load. The role involves stress-testing model-generated backend code and writing correct solutions when models fall short, with explicit attention to scaling and consistency trade-offs.
This role involves evaluating how advanced AI models handle electronics and electrical engineering problems. You will design realistic engineering challenges, test them against frontier AI systems, and judge the output quality using your professional expertise, providing detailed critiques and reasoning to help train better AI tools.
Evaluate and stress-test user interfaces built by AI models to identify frontend failures in components, state management, accessibility, and rendering. Write correct implementations when models fall short, providing the training signal through clear technical explanations of what works and what breaks.
A Full Stack Engineer working with frontier AI models to evaluate their ability to build complete applications across frontend, API, and database layers. You will trace features through the entire stack to identify where models fail, write corrected versions when needed, and provide detailed explanations that serve as training data for improving future model outputs.
DataAnnotation seeks an experienced hardware engineer to evaluate how AI models handle real electrical and electronics engineering problems. You will design realistic engineering challenges, run them through frontier AI models, judge the outputs against professional standards, and provide detailed written critiques that help train the next generation of AI engineering tools.
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
This is a paid evaluation role for database engineers who will design realistic tasks that test how well AI agents handle database work. Each task is a self-contained problem with a reproducible environment, a working reference solution, tests, and grading criteria that separate robust engineering from code that only looks correct. It is aimed at experts with deep database-engine internals experience, not at DBA, SQL analytics, or ETL-only profiles.
Posted October 6, 2026
Evaluation of AI model outputs against correctness, maintainability, security, and production readiness criteria, accessible to early-to-mid career professionals.
Advanced evaluation of AI model reasoning on complex systems: design of expert engineering solutions, evaluation rubrics, reference implementations.
Evaluation and comparison of AI model solutions on realistic software engineering tasks: debugging, cross-repository logic tracing, feature implementation, code review, architecture decisions.
Deep expertise in network engineering, legacy/enterprise systems and advanced programming languages (CUDA, C++, Rust, MLOps, COBOL, ABAP, Scala, Kotlin, OCaml).
This remote study asks practicing software engineers to review programming tasks and the evaluation harnesses built to test AI agents on them. You will check whether the tasks, test cases and environment structure reflect realistic software engineering work. It suits engineers with solid experience building, testing and reviewing complex systems.
Posted October 2, 2026
This role involves leveraging your expertise in diagnosing and maintaining complex industrial systems to contribute to the training of AI models. You will analyze technical diagrams, diagnose faults, and document your troubleshooting approaches with rigor to feed AI system learning, without requiring prior experience in artificial intelligence.
Posted September 29, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
Mercor is seeking experienced electrical and hardware engineers to support an advanced research initiative in engineering and AI. The role consists of evaluating hardware designs, analyzing complex technical decisions, and providing feedback based on deep practical experience in hardware development in production environments.
Posted September 26, 2026
Add your resume once. Every open job is scored against your profile, and we email you only when a strong match appears. Free.
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.
