Quant Finance Expert (Mexico)
We are looking for experienced Quantitative Finance Experts who would like to apply their knowledge to help train and evaluate generative AI models.
We are looking for experienced Quantitative Finance Experts who would like to apply their knowledge to help train and evaluate generative AI models.
Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.
We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models. In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity.
We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.
Anyone AI is recruiting skilled Full-Stack Developers (Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go) to work on a project with a leading AI lab. Engagement: Part-time, project-based expert evaluation work
Anyone AI is recruiting skilled software engineers to work on a project with a leading AI Lab. Engagement: Part-time, project-based expert evaluation work
Anyone AI is recruiting skilled software engineers to work on a project with a leading AI lab. Engagement: Part-time, project-based expert evaluation work
We create high-quality STEM training data for frontier AI models used by leading AI labs to improve model reasoning in scientific domains.
We create high-quality STEM training data for frontier AI models that is directly used in training and evaluation workflows at leading AI labs.
Anyone AI is recruiting experienced GPU Kernel Engineers for a specialized project focused on reviewing, debugging, and evaluating high-performance compute kernels used in AI workloads.