We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches in this project is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while…
Remote AI Expert - Machine Learning & AI Research Jobs in United States 2026
44 remote jobs open to candidates in United States in AI Expert - Machine Learning & AI Research. Updated daily.
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly…
Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and…
Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and…
Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. 1.
Mercor is looking for STEM researchers who hold or are currently pursuing an MSc or PhD to support a research project with a leading AI lab. You will work through real research workflows on your own Mac to help benchmark and improve cutting-edge AI models.
Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and…
AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring machine learning researchers as contractors to author and solve the analysis problems those evaluations run on, drawn from your own research: experiment…
We are looking for machine learning engineers to help train and evaluate AI models on machine learning and LLM engineering tasks. You will design tasks, review AI-generated ML code and methodology, and write the reference answers that models are measured against.
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.
Models are surprisingly bad at reasoning about themselves: training dynamics, evaluation design, data pipelines, and deployment trade-offs. Plausible-sounding ML advice is often subtly wrong.
Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking MLOps Engineers with hands-on experience in large language model infrastructure across any of four areas: GPU kernel programming, performance profiling and…
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.
Paid, remote work authoring and validating research-grade ML benchmark tasks. For Master's or PhD-level ML researchers with at least one first-author paper.
<< Insert Job Description Here>> Project Overview We are sourcing experienced technical specialists in Machine Learning to audit tasks used to train and evaluate AI systems.
Evaluate the quality, correctness, and methodological rigor of applied machine-learning tasks used to train and evaluate a frontier AI lab's models.
Open to candidates in Washington D.C., New York, Washington, California and Massachusetts only. Can you bring together globally distributed teams and the systems they build into a production-quality reinforcement learning ecosystem for researchers and model builders?
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems.
We're building a research cohort of senior domain experts in ML inference and GPU kernel engineering — spanning inference serving systems, kernel optimization, and large-model deployment infrastructure — to help evaluate how frontier AI models reason about hard, real-world…
Evaluate AI-generated reproductions of machine learning research papers, assess technical correctness and research quality, and help improve frontier AI systems using your expertise in ML, AI, or Statistics.
Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies.