Open AI training and model evaluation roles that call for MLOps expertise, gathered from 5 platforms. Part of Data & Machine Learning.
Pay figures cover the 13 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 25, 2026.
A senior Python engineer will design and optimize high-performance data pipelines, annotation tooling, and evaluation systems for AI model training at scale. This fully remote contract role requires building full-stack infrastructure that processes large datasets and supports research workflows across distributed teams.
This role involves designing advanced data science challenges, writing benchmark solutions, and auditing AI-generated code to improve AI reasoning and reliability. It is designed for experienced data scientists who want flexible, intellectually demanding work training and evaluating machine learning systems.
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
This contract role asks machine learning specialists to build and check demanding engineering tasks for an AI training project. The work spans model implementation, training and inference pipelines, numerical methods and performance tuning, mostly in Python. It suits candidates with an advanced degree and hands-on machine learning experience who work fluently with coding agents.
Posted October 23, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This job is an MLOps role on a generative AI team, focused on the performance side of large language model work. The engineer designs and reviews hard tasks on accelerator kernels, profiling, distributed debugging and inference serving, and writes clear technical feedback on solutions produced by others. It suits hands-on systems engineers with production experience in ML infrastructure, model serving or accelerator performance.
Posted October 22, 2026
This contract role asks machine learning engineers to create, solve, review and validate demanding engineering tasks for an AI training project. The work centers on model development, training and inference pipelines, numerical methods and Python tooling, and is largely hands-on coding. It suits candidates with an advanced degree and experience using coding agents in their Python workflow.
Posted October 16, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
Deep expertise in network engineering, legacy/enterprise systems and advanced programming languages (CUDA, C++, Rust, MLOps, COBOL, ABAP, Scala, Kotlin, OCaml).
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.
This role involves evaluating and judging AI models as a machine learning expert, providing the critical expertise that research teams cannot generate alone. You will use your practical experience to assess modeling problems, training code, and production approaches, explaining your reasoning clearly. This permanent roster recruits machine learning practitioners ready to participate in AI training and evaluation projects.
Posted September 15, 2026
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 role involves conducting structured 20-minute interviews with engineers specialized in GPU kernel development, security research, and ML compilers, to assess their technical expertise and ability to participate in AI evaluation projects. You will provide reasoned recommendations (move forward, hold, or reject) and write concise summaries for the project team. This role is for someone with confirmed experience in recruiting or technical screening of senior profiles.
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
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
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
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FAQ
16 MLOps 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 25, 2026.
Among the 13 open roles that publish an hourly rate in USD, pay runs from $40 to $250 per hour, with a median of $95. These are the rates the platforms publish, not a guarantee of income or hours.
Mercor (8), micro1 (4), Alignerr (2), 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 MLOps, AI Evaluation, Machine Learning, Deep Learning, 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.
