Open AI training and model evaluation roles that call for Experimental Design expertise, gathered from 6 platforms. Part of Science & Research.
Pay figures cover the 73 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 involves evaluating AI-generated environmental management analyses and recommendations to improve their accuracy and real-world applicability. Environmental management professionals will assess AI reasoning on sustainability frameworks, impact mitigation, and resource planning while providing structured feedback to enhance AI outputs.
This remote position involves developing and reviewing advanced environmental science problems to support AI model training. Environmental science experts with advanced degrees will apply their knowledge in climate modeling, ecology, or sustainability to create complex problem statements and enhance AI model reasoning through collaboration with research teams.
A physics expert will design and evaluate problems across multiple physics domains to help train and refine AI models. The role involves creating rigorous physics problems, developing detailed solutions, assessing AI responses for accuracy and reasoning quality, and providing feedback to improve AI systems' physics comprehension.
This freelance contract is for PhD-level mathematicians who will evaluate and improve how AI systems handle mathematical reasoning. The work covers writing and reviewing advanced problems, checking AI-generated proofs and calculations, and organizing mathematical content for training datasets. It suits holders of a doctorate in mathematics or a closely related field who can work independently and remotely on their own schedule.
This remote, hourly contract role asks mathematicians with a Master's or PhD to write, solve and review advanced problems, and to evaluate the mathematical reasoning produced by AI models. It suits researchers who are strong in algebra, calculus, statistics or discrete mathematics and who can work independently on their own schedule.
This remote, asynchronous role involves labeling and organizing statistical content, such as equations, datasets and problems, to build training data for AI systems. It also includes reviewing AI-generated statistics solutions, writing instructional material and testing models for reasoning errors and bias. It is aimed at people with strong probability and statistics backgrounds from research, teaching or applied work.
This role involves evaluating AI models' biological reasoning against established scientific literature. You will write test prompts to probe biological understanding, review AI-generated responses for errors and fabricated citations, and provide scientifically accurate answers based on primary sources when the model's output is inadequate.
A drug discovery scientist will design realistic preclinical tasks and evaluate how well frontier AI models perform them, grading responses against professional standards. The role involves creating scenarios based on real workflows, running them through AI systems, and providing detailed feedback on whether the models correctly conduct SAR analysis, DMPK interpretation, screening triage, and other core discovery work.
This role involves designing realistic experimental biology tasks and evaluating how frontier AI models perform on benchmark scientific challenges. You'll create scenarios from your own laboratory practice, run them through AI systems, and grade the AI's output against professional standards to help train models on hands-on experimental work.
This role involves evaluating and improving how AI models handle rigorous mathematical reasoning. You will create challenging math problems, review AI solutions for logical errors and unjustified steps, and write correct solutions that serve as training examples for the models to learn from.
This role involves creating rigorous mechanical engineering problems and solutions to train AI models to reason like practicing engineers. You will write verifiable problems from your specialty, derive correct answers, test them against AI systems, and review AI-generated engineering work for real-world applicability.
A mechanical designer writes rigorous engineering problems and solutions to train AI models to reason like practicing engineers. You'll create challenging, closed-ended technical problems from your specialty, verify correct answers, test them against AI systems, and review AI-generated engineering work for real-world applicability.
A mechanical engineer will create challenging, closed-ended engineering problems based on their specialty, derive correct solutions, and evaluate how well AI models perform on real-world engineering tasks. The role involves writing problems that test genuine engineering reasoning, component sizing, failure analysis, CAD interpretation, design impact prediction, and assessing AI-generated analysis and designs for correctness and practical applicability.
This role involves evaluating AI models' physics reasoning across mechanics, electromagnetism, quantum mechanics, and thermodynamics. You will create problems to test AI understanding, identify errors in AI solutions, and write gold-standard solutions that clearly explain the physics at each step.
A Validation Engineer writes challenging mechanical engineering problems from their specialty, solves them, and evaluates how well AI systems perform on real engineering reasoning tasks. The role focuses on creating benchmarks that measure whether AI can do actual engineering work like component sizing, failure mode identification, and design change prediction.
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
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 helping train AI systems by analyzing complex mechanical assemblies and formulating demanding technical questions that test reasoning in mechanical design. You will validate answers directly from CAD models, examine AI-generated results to identify weaknesses, and document your findings rigorously. This position is suited to senior mechanical engineers with proven expertise in multi-part assembly design and mastery of parametric CAD tools.
Posted October 2, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
You will participate in a large-scale project to train next-generation AI systems in the field of materials engineering and advanced manufacturing. As a senior metallurgist and welding inspector, you will apply your expertise to assess the quality of materials, heat treatments and welded assemblies, providing detailed analyses that will fuel AI model learning. No prior AI experience is required: only your metallurgy expertise counts.
Posted September 29, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
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
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FAQ
75 Experimental Design 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 73 open roles that publish an hourly rate in USD, pay runs from $10 to $200 per hour, with a median of $83. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (26), Mercor (26), micro1 (12), DataAnnotation (9), Handshake AI (1) and Mindrift (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Experimental Design, AI Evaluation, Scientific Writing, Data Annotation, Chemistry. 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.
