buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
buscojobs Brasil
A leading AI research accelerator is looking for PhD candidates in Physics to work on remote projects with AI labs. You will design advanced physics problems, evaluate AI performance, and collaborate on innovative projects. The role offers flexible hours and a competitive hourly rate of up to $75. Ideal candidates possess strong problem-solving skills and the ability to clearly communicate complex ideas. This opportunity is perfect for those passionate about advancing AI technologies.
Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge projects with top AI labs while earning up to $75 / hr, fully remote, with flexible weekly hours.
Help fine-tune large language models (like ChatGPT) using your physics skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks.
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. Turing supports customers in two ways : first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.