Open AI training and model evaluation roles that call for ML Infrastructure expertise, gathered from 4 platforms. Part of Software Engineering.
Pay figures cover the 42 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 centers on building and tuning high-performance Rust systems that support AI model development, including data pipelines, annotation tooling and evaluation infrastructure. It is aimed at senior engineers with deep Rust expertise who want to work fully remotely alongside research and engineering teams.
This remote contract role asks a senior C++ engineer to design, build and tune high-performance systems that feed data pipelines and evaluation workflows for AI model development. The work also covers annotation tooling, backend services and quality control, with frequent collaboration with data, research and engineering teams. It is aimed at experienced systems engineers who want their code to support frontier AI training at scale.
This contract role centers on building Python systems that power data pipelines, evaluation harnesses and annotation tooling for AI model development. It suits senior Python engineers who can work remotely on part-time hourly engagements alongside research and engineering teams.
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 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 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 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 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.
Advanced evaluation of AI model reasoning on complex systems: design of expert engineering solutions, evaluation rubrics, reference implementations.
You design and configure 3D environments and assets in robotic simulation engines, transposing real-world objects and instruments into virtual worlds. Your role is to ensure that simulations faithfully reproduce the geometry, scale, materials, and physical behavior of real elements, so as to provide high-quality training data to AI systems. This role is intended for experts in simulation and 3D modeling who master the principles of physical dynamics.
Posted October 3, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This role involves designing and evaluating MLOps infrastructure tasks for training large language models, in the areas of GPU programming, performance profiling, debugging distributed workloads, and high-performance inference. You will generate quality training data by writing precise technical solutions and providing detailed feedback to research and engineering teams. This role targets engineers with confirmed hands-on expertise in ML systems and infrastructure, capable of reasoning about trade-offs between throughput, latency, and memory on modern accelerators.
Posted September 15, 2026
You will analyze complex CAD assemblies in FreeCAD format to design precise technical questions for AI model training. This role requires your expertise in mechanical engineering, aerospace, or industrial design to identify key features and technical nuances of multi-part assemblies.
Posted September 11, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This role involves developing and validating machine learning models, training pipelines and inference systems as part of an AI training project. The role is heavily focused on Python programming and requires confirmed expertise in machine learning engineering, with the ability to implement, optimize and debug complex solutions.
Posted September 11, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This job involves evaluating the quality and correctness of GPU kernel and accelerator code developed to train and test AI models. You will provide structured feedback on numerical correctness, the validity of performance benchmarks, task definition, and viability for compilation and execution.
Posted August 25, 2026
This role involves evaluating the quality and compliance of NKI kernel implementations intended for training advanced AI models. You will examine the fidelity of CUDA to NKI migrations, the quality of Trainium-specific optimizations, and numerical validity across platforms, providing structured and detailed feedback.
Posted August 25, 2026
You have deployed and operated language model-based agents in production, with direct experience of their failures and real adoption in enterprise environments. This role consists of sharing your expertise on reliability, evaluation, and scaling of AI agents in complex environments, through conversational interviews drawing on your concrete practical feedback.
Posted August 12, 2026
This role is for engineers who have built and deployed search systems, particularly in the context of AI agents and large language models. You will be evaluated on your hands-on experience in relevance optimization, impact assessment, and the technical trade-offs you have had to make in real-world systems.
Posted August 1, 2026
This Big Data Engineer role consists of designing and maintaining scalable data pipelines to support the training of next-generation AI systems. You will work as a contractor in remote, collaborating with cross-functional teams to implement robust data integration and processing solutions. The role requires deep expertise in big data engineering and advanced proficiency in Python and distributed technologies.
Posted April 17, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
You will build an AI-native platform that replaces manual operations with real-time dashboards and autonomous agent workflows. As a lead engineer, you will drive complete product development from foundations through integrations and pilot launch, delivering production features on frontend and backend.
Posted February 26, 2026
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FAQ
44 ML Infrastructure AI training jobs are open on SideHustler today. 1 was 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 42 open roles that publish an hourly rate in USD, pay runs from $20 to $150 per hour, with a median of $63. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (29), Mercor (10), micro1 (4) and Vetto (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are ML Infrastructure, Backend Development, System Design, Code Quality & Review, Python. 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.
