Open AI training and model evaluation roles that call for Machine Learning expertise, gathered from 8 platforms. Part of Data & Machine Learning.
Pay figures cover the 70 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 refining MuJoCo physics simulation environments where AI agents learn locomotion, manipulation, and multi-agent coordination. It suits experienced robotics and machine learning practitioners who can combine reinforcement learning, robot control, and simulation debugging. Work is remote, asynchronous, and organized around milestones.
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 contract role asks engineers to write and review step-by-step reasoning traces that show how a language model should plan, use tools, and reach decisions. The output becomes training data meant to make AI systems more reliable on complex, real-world tasks. It suits experienced machine learning engineers and researchers who can work remotely and on their own schedule.
This freelance role asks senior machine learning practitioners to write step-by-step reasoning traces that record how an expert plans, uses tools, and decides through hard technical problems, so that large language models learn to reason the same way. It suits people with deep ML or AI systems backgrounds who can explain their thinking clearly and work independently on open-ended 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 role involves evaluating how well AI models can perform computational biology tasks. Computational biologists and bioinformaticians will design realistic analysis scenarios from their own work, run them through AI systems, and grade the results against professional standards to help benchmark model capabilities.
As a Machine Learning Engineer, you will evaluate and improve how AI models reason about machine learning systems, including training dynamics, evaluation design, and deployment strategies. You will write prompts to test model reasoning, identify subtle errors in AI outputs, and provide correct solutions based on real practitioner experience.
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 engineering for evaluating data engineering tasks (SQL, ETL, data processing) performed by AI models.
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Expert data scientist for the evaluation of statistical work, modeling, and experimentation performed by AI models.
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Expert ML research for evaluating advanced deep learning work (generative models, reinforcement learning, transformer architectures).
Referral link to micro1's job list: search for this role there. Open this exact job
Research role focused on evaluating code generation by LLMs: designing evaluation frameworks and criteria.
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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
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.
You will help train AI models by creating realistic programming tasks and deterministic validators. This flexible contractor role will allow you to leverage your backend development experience to design relevant challenges for AI to solve.
Posted October 3, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
You will contribute to training AI models by writing and validating formalized mathematical proofs in Lean 4. You convert informal mathematical statements into precise declarations and verify that generated proofs are correct both formally and mathematically. This role is aimed at experienced Lean engineers or mathematicians with strong expertise in formal proof.
Posted September 30, 2026
You will work on a research benchmark in condensed matter physics, by creating, solving, revising, or auditing advanced physics problems designed to test AI models. This role requires published expertise in a specific area of condensed matter and the ability to present your reasoning in a complete and verifiable manner for review by a peer specialist.
Posted September 25, 2026
You will contribute to the creation and evaluation of research physics challenges for an AI benchmark designed to test the reasoning capabilities of frontier models in gravitation, cosmology, and high-energy astrophysics. Depending on your publication profile, you will create problems, solve them, examine others, or audit them, producing research-quality work with rigorous written reasoning. This role is intended for PhD holders in theoretical physics who have published specifically on twisted gravity, axionic inflation, or multimessenger astrophysics.
Posted September 25, 2026
This role involves working on fundamental physics problems at research level for the CritPt benchmark, which evaluates the reasoning capabilities of AI models in advanced theoretical physics. Based on your profile and publications, you will create problems, solve them, review work or verify it in your area of specialization. This role is intended for high energy physicists who have published in one of seven specified domains and who master the relevant methods.
Posted September 25, 2026
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FAQ
78 Machine Learning AI training jobs are open on SideHustler today. 2 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 70 open roles that publish an hourly rate in USD, pay runs from $16 to $400 per hour, with a median of $95. These are the rates the platforms publish, not a guarantee of income or hours.
Mercor (30), Alignerr (26), micro1 (16), DataAnnotation (2), Handshake AI (1), Terac (1), Turing (1) 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 Machine Learning, AI Evaluation, Deep Learning, Python, Data Annotation. 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.
