Research Engineer (AI Evaluation & Benchmarking) – Google DeepMind RE-Bench Project About the Opportunity We are hiring experienced Research Engineers, AI Researchers, Machine Learning Engineers, Applied Scientists, and Research Scientists to contribute to a cutting-edge AI…
Remote AI Expert - Machine Learning & AI Research Jobs in North America 2026
42 remote jobs open to candidates in North America in AI Expert - Machine Learning & AI Research. Updated daily.
We're assembling a group of senior software and ML engineers to work on one of the hardest open problems in AI today: how well can frontier models reason about LLM inference systems, GPU-level performance optimization, and model-serving architecture?
At TELUS Digital, we are advancing the future of Artificial Intelligence by helping AI systems understand, process, and generate human speech with greater accuracy and naturalness.
What if your mastery of Rust could directly shape the infrastructure powering the next generation of AI models? We're looking for a Principal Rust Engineer to design and build high-performance systems at the heart of real AI research and production workflows — working alongside…
What if your Python expertise could directly shape the infrastructure powering some of the world's most advanced AI systems?
What if your years of hard-earned research expertise could directly shape the future of AI? We're looking for domain experts with deep machine learning knowledge to design evaluation challenges that push state-of-the-art AI systems to their limits — the kind of problems only a…
Anyone AI Labs Reports to: CEO · Remote / LatAm / US The role Evaluation is one of the hardest open problems in AI: we still don't have reliable ways to measure what frontier models can and can't do, and the field mostly runs on benchmarks that are saturated, contaminated, or…
Labelbox • Remote (United States preferred) Shape the data that powers frontier AI Quick facts - Engagement - Hourly, at‑will contractor- Schedule - Fully remote & asynchronous (min.
What if your Python expertise could directly shape the infrastructure that powers the most advanced AI systems in the world?
The ideal candidate holds a Masters-equivalent research degree in a STEM, computational, or humanities field and demonstrates native or near-native English proficiency.
Alignerr is seeking machine learning domain experts to help design advanced evaluation challenges for frontier AI systems. This role focuses on building expert-level machine learning evaluation tasks that test the limits of state-of-the-art AI models using deep scientific and…
The ideal candidate holds a PhD (or Masters-equivalent research degree) in a STEM, computational, or humanities field and demonstrates native or near-native English proficiency.
Reinforcement learning post-training is driving some of the most significant capability gains in AI today. It is the process that teaches a model to reason through hard problems, follow complex instructions, and act as an autonomous agent.
Provide natural language processing expertise for AI evaluation, benchmark design, and training data quality across diverse language tasks.
Apply machine learning and AI research expertise to evaluate model outputs, design benchmarks, and improve AI reasoning across technical domains.
Are you an AI QA expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into enterprise-grade platforms.
Are you an experienced Homography specialist eager to shape the future of AI? Large-scale language models and computer vision systems are evolving rapidly, moving beyond basic perception into advanced mathematical modeling, spatial reasoning, and applied problem-solving.
Do you enjoy Kaggle-style problem solving, iterating on models, testing ideas, and driving performance gains? Now imagine doing that as paid work, where your solutions directly strengthen the world’s most advanced AI systems.