Open AI training and model evaluation roles that call for Code Quality & Review expertise, gathered from 7 platforms. Part of Software Engineering.
Pay figures cover the 122 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 involves building and tuning Python systems that feed data pipelines, annotation tools and model evaluation workflows for AI teams. It suits senior engineers who can work full-stack and backend, with a strong focus on reliability and clean, well-tested code.
This remote contract role asks experienced Rust engineers to review and critique AI-generated systems code, focusing on memory safety, concurrency, and performance. The work also includes building tooling and backend services for large-scale data validation. It suits seasoned Rust developers who want flexible, task-based work on their own schedule.
This remote contract role asks senior Rust engineers to review and evaluate Rust code generated by AI models, checking memory safety, concurrency correctness and performance. Engineers also build high-performance tooling and backend services for large-scale data validation. It is aimed at experienced systems programmers who want self-directed technical work.
This contract role centres on designing, building and tuning high-performance Rust systems that support AI data pipelines, evaluation workflows and annotation tooling. It suits senior Rust engineers who write safe, performant and correct code at scale and can work independently in an asynchronous setting. The resulting infrastructure feeds model training and evaluation work for research teams.
This contract role centers on building and improving the high-performance C systems that move and check data for AI model training and evaluation. It suits senior engineers with several years of production C experience who can also work on backend and tooling layers.
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 remote contract role involves building coding benchmarks and data pipelines that test how well frontier AI models reason about, debug, and write software. It is aimed at senior software engineers with several years of professional experience who can work across large, multi-language codebases.
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 freelance role asks you to write code and to evaluate code produced by AI models, helping make AI coding assistants more accurate and reliable. You will review AI outputs for correctness, efficiency, and security, then explain your judgments in clear written feedback. It suits experienced programmers who can work independently on a flexible, remote schedule.
This remote contract role asks experienced software engineers to assess and rank code produced by AI models. The work involves judging correctness, efficiency and maintainability, then writing structured feedback that helps coding assistants learn what good code looks like. It suits developers who prefer flexible, independent, task-based work.
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 contract asks frontend engineers to review and improve JavaScript, HTML, and CSS code written by AI models, checking correctness, efficiency, and accessibility. It is fully remote and asynchronous, suited to developers who can explain their reasoning clearly in English.
This is a remote contract role building internal C tooling that supports data pipelines, annotation systems, and evaluation workflows for AI training. It is aimed at senior engineers with several years of production C experience who can also work across full-stack and interoperability tasks.
This contract role asks machine learning engineers to review and evaluate machine learning code generated by AI models, checking correctness, efficiency, scalability and clarity. Contractors also write their own ML solutions and explain modeling choices so that frontier AI systems improve at this work. It suits experienced ML practitioners who prefer fully remote, asynchronous, self-directed project work.
This contract role centers on building, reviewing, and improving production-grade Python code and data workflows that support AI development. It is aimed at senior engineers with at least four years of professional experience who can work independently, remotely, on task-based engineering problems.
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 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.
This contract role involves writing, reviewing, and checking YAML configuration files so that AI-generated configurations are accurate and production-ready. It suits software engineers who enjoy working closely with schemas, data structures, and system logic.
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FAQ
127 Code Quality & Review AI training jobs are open on SideHustler today. 5 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 122 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 (65), Mercor (26), micro1 (23), DataAnnotation (7), Terac (3), Vetto (2) 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 Code Quality & Review, AI Evaluation, System Design, Python, 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.
