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 remote contract role centers on building and refining MuJoCo physics simulation environments where AI agents learn locomotion, manipulation, and coordination tasks. It is aimed at experienced robotics and machine learning practitioners who are comfortable with reinforcement learning, robot control, and debugging contact dynamics.
This contract role asks specialists to design, build and refine MuJoCo physics simulation environments that train AI agents on locomotion, manipulation and multi-agent tasks. It suits experienced practitioners in reinforcement learning and robot control who can also document their results clearly. The work is remote with flexible weekly hours.
This freelance role centers on building high-fidelity physics simulations of robots, including accurate robot models, simulation environments, and pipelines that help robots learn to walk, grasp, and navigate. It suits engineers experienced with robotics simulators such as MuJoCo, Isaac Sim, or Gazebo who want to narrow the gap between virtual testing and real-world robot behavior. The work is hourly and remote, with written collaboration conducted in English.
This contract role centers on building and improving the Python data pipelines, annotation tools and evaluation systems used to train AI models. It is aimed at a senior engineer with at least five years of production Python experience and a strong full-stack and systems background, working remotely at 20 to 40 hours per week.
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 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 contract role is for senior engineers who build the backend systems behind AI model development. The work covers high-performance pipelines, annotation tooling, and evaluation infrastructure that support model training and benchmarking. It is aimed at engineers with several years of production experience in Go, Rust, Python, or C++ who are fully remote and available 20 to 40 hours per week.
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 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 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.
You will evaluate AI-generated code by running models on real engineering tasks, analyzing their output against production standards, and stress-testing them to find failures. This role is ideal for experienced software engineers who want to contribute to AI model improvement through rigorous code review and red-teaming.
ML expert for the evaluation and training of AI models on machine learning tasks and data pipelines (ETL).
Referral link to micro1's job list: search for this role there. Open this exact job
Expert data scientist for the evaluation of statistical work, modeling, and experimentation performed by AI models.
Referral link to micro1's job list: search for this role there. Open this exact job
You will contribute to training next-generation AI models by creating realistic coding tasks and implementing deterministic verifiers. This flexible contracting role is aimed at experienced backend engineers capable of generating relevant technical challenges and automatically evaluating solutions.
Posted October 6, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This role involves training and evaluating AI agents on fluid simulation tasks by setting up CFD simulations, creating reference solutions, and validating agent outputs. It is designed for experienced mechanical or aerospace engineers with strong computational fluid dynamics expertise.
Posted October 6, 2026
This role involves training and evaluating AI agents on expert-level computational fluid dynamics tasks. You will set up and run simulations using industry-standard CFD tools, create verified reference solutions, and develop Python validation checks to assess agent performance on fluid simulation problems.
Posted October 6, 2026
Design and optimization of deep learning systems, statistical analysis and training of ML models for Turing clients, remote work with time overlap with US time zones.
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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.
