Open AI training and model evaluation roles that call for Deep Learning expertise, gathered from 7 platforms. Part of Data & Machine Learning.
Pay figures cover the 35 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 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.
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.
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
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 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 evaluating and rating responses generated by AI models in materials science, using your expertise to judge the quality of their reasoning. You will be asked to formulate materials problems based on your previous work, assess the consistency between microstructure and properties, and identify cases where proposed materials fail under real-world conditions. This role is aimed at materials scientists with solid research or industrial experience and capable of clearly communicating their expertise.
Posted September 15, 2026
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
Mercor is looking for experienced software engineers to evaluate and rate code generated by AI models. You will be asked to write engineering problem statements, examine AI solutions for production robustness, and identify hidden defects. This role is aimed at developers with solid industrial experience and excellent ability to document their technical analysis.
Posted September 15, 2026
You will contribute to an AI training project by solving, validating, and commenting on complex problems in your scientific field of expertise. The role combines rigorous scientific analysis, Python programming for calculations and simulations, and critical evaluation of solutions generated by AI.
Posted September 1, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
You will evaluate the methodological quality and scientific rigor of machine learning tasks designed to train and test models at a cutting-edge AI laboratory. You will provide structured feedback on experimental design, model selection and evaluation protocols, critiquing claims against observed results.
Posted August 28, 2026
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
We are looking for experienced machine learning researchers to work on empirical research problems covering computer vision, language models, and robustness to adversarial attacks. You will train and improve end-to-end models, optimizing trade-offs between performance, efficiency, and robustness in resource-constrained contexts.
Posted August 5, 2026
One-off job consisting of designing difficult problems in your area of expertise to contribute to the training of cutting-edge language models. You will leverage your scientific or technical specialization to create high-quality data intended for artificial intelligence innovation. The sought profile is a PhD holder or advanced degree holder with recognized expertise in STEM.
Posted July 24, 2026
This role enables a machine learning engineer to contribute to the development of next-generation AI systems by designing and refining machine learning models. You will apply your expertise in Python and ML frameworks to process large volumes of data, optimize model performance, and deliver actionable insights based on rigorous analysis.
Posted April 17, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
Join a network of machine learning experts to access occasional jobs with AI laboratories and companies. You will contribute to training and evaluating models, creating tasks based on real-world scenarios, and providing domain feedback for AI research. This program is aimed at engineers with solid experience in machine learning model development and capable of working independently on remote projects.
Posted February 27, 2026
Join a network of expert physicists to collaborate with leading AI laboratories on flexible assignments. You will contribute to the training and evaluation of AI models, design tasks based on real-world scenarios, and provide specialized feedback to advance AI research. This flexible approach allows you to work according to your availability, with typical commitments of 15 to 30 hours per week.
Posted February 27, 2026
This role is a hands-on research position focused on post-training large language models, where expert annotations are converted into training data and experimental reward signals. It suits a researcher with a PhD or equivalent experience in machine learning or a related quantitative field who can work independently and iterate fast on messy experiments.
Posted January 23, 2026
This role involves evaluating and improving the performance of a language model on English language tasks. You will annotate texts, edit content generated by AI, and provide detailed feedback to refine its understanding and generation capabilities. The ideal profile is a native or near-native English speaker with professional experience in editing, proofreading, linguistic annotation, or data evaluation for natural language processing.
Posted June 2, 2025
Handshake AI seeks skilled PCB and EDA tool users to evaluate AI-generated content and provide feedback on electronics design tasks. Contributors will work flexibly on project-based contract work that involves assessing large language model responses related to PCB layout, schematic capture, and embedded hardware design.
Posted March 10, 2025
Add your resume once. Every open job is scored against your profile, and we email you only when a strong match appears. Free.
FAQ
39 Deep Learning AI training jobs are open on SideHustler today. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 35 open roles that publish an hourly rate in USD, pay runs from $35 to $250 per hour, with a median of $105. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (21), Mercor (11), micro1 (3), DataAnnotation (1), Handshake AI (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 Deep Learning, Machine Learning, AI Evaluation, Python, Robotics. 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.
