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 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 Python code while designing complex algorithmic challenges to test AI reasoning capabilities. Senior Python developers will work remotely on flexible contracts to help advance AI systems' ability to write and understand production-level 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.
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 evaluating and reviewing code generated by AI systems across multiple programming languages, identifying bugs, logical errors, and inefficiencies. The position is designed for individuals with coding knowledge who can assess code quality and provide constructive feedback to improve AI-generated outputs, regardless of formal background.
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 reviewing and evaluating AI-generated Go code, writing clean Go solutions for backend problems, and creating coding challenges to test AI model capabilities. It is ideal for experienced Go developers who want to contribute to the training and improvement of AI coding models.
Review and evaluate AI-generated Java code for correctness and efficiency, and write high-quality Java solutions to coding problems at varying difficulty levels. This role is ideal for Java developers who can also provide clear explanations of code logic and problem-solving strategies to support AI model training.
Review and evaluate AI-generated JavaScript code for correctness and efficiency, and write high-quality JavaScript solutions to coding problems. Create clear explanations for code logic and identify edge cases. This role is ideal for JavaScript experts who want to contribute to improving AI models.
Review and evaluate AI-generated Rust code for correctness, memory safety, and idiomatic practices. Create high-quality coding problems and provide structured feedback to improve AI model performance. This role is ideal for experienced Rust developers who want to shape how AI systems understand systems programming.
This role involves evaluating and writing SQL queries for AI model training projects. You will assess AI-generated SQL for accuracy and performance, write complex queries across relational databases, and document your reasoning to support AI development at leading research labs and enterprises.
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.
This role involves writing, debugging, and evaluating AI-generated code to help train and improve AI coding assistants. Software engineers will review code quality, identify bugs and security issues, provide detailed feedback, and design test scenarios to stress-test AI capabilities across various programming languages and frameworks.
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 role involves reviewing and refining AI-generated financial modeling tasks to ensure they accurately reflect professional analyst work. Finance subject matter experts with Python skills will audit AI instructions, validate scoring rubrics, and edit code and documentation via GitHub to fix errors and improve quality.
This role involves reviewing and improving AI-generated financial modeling tasks to ensure they accurately reflect professional analyst workflows. Finance experts with Python skills will audit AI task instructions, validate scoring rubrics, and directly edit code and documentation via GitHub to fix errors and meet professional standards.
This contract role asks a finance expert to review and improve tasks that teach AI to perform analyst work. The reviewer checks task instructions and scoring rubrics, then corrects them through GitHub pull requests. It suits finance professionals who also read and write Python and can work independently on task-based assignments.
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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.
