Open AI training and model evaluation roles that call for Python expertise, gathered from 7 platforms. Part of Software Engineering.
Pay figures cover the 98 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 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 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 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.
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 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.
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 role involves reviewing and refining AI-generated financial modeling tasks to ensure they accurately reflect how professional analysts work. Finance experts with Python skills will audit task instructions, validate scoring rubrics, and directly edit code and documentation via GitHub to fix logic errors and improve clarity.
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.
This contract role asks a finance expert to audit and improve tasks that teach AI systems how professional analysts build financial models. The work involves checking task instructions and scoring rubrics, then fixing them directly in repository files through pull requests. It suits experienced analysts who also write Python and use GitHub comfortably.
This remote contract role asks finance professionals to audit and refine AI-generated financial modeling tasks so they match how working analysts actually operate. The work includes reviewing task instructions and scoring rubrics, then fixing the underlying Python scripts and Markdown files through GitHub pull requests. It suits experienced finance practitioners who are also comfortable with Python and Git-based collaboration.
This contract role involves reviewing AI-generated financial modeling tasks so they reflect how professional analysts actually work. It is aimed at finance specialists who can also read Python and work with GitHub, editing task files and scripts through pull requests. The work is remote, hourly and carried out independently within an asynchronous team.
This contract role involves auditing and improving AI-generated financial modeling tasks so they reflect how professional analysts actually work. The work includes reviewing task instructions and scoring rubrics, then fixing them directly in repositories through GitHub pull requests. It is aimed at finance professionals who also read and write Python and are comfortable with GitHub workflows.
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.
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FAQ
108 Python 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 98 open roles that publish an hourly rate in USD, pay runs from $20 to $300 per hour, with a median of $79. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (53), micro1 (31), Mercor (15), Mindrift (4), Vetto (3), DataAnnotation (1) and Turing (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Python, AI Evaluation, Code Quality & Review, Backend Development, Java & TypeScript. 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.
