MexicoLead Telepatia AI deployments across hospitals, insurers, and clinic networks in Mexico. Guide clinical setup, physician adoption, pilot performance, and deployment teams.
Mercor is seeking an AI Safety Red Teamer to probe advanced AI systems with adversarial prompts. The role involves documenting risks and working with researchers to strengthen model safety and alignment.
Develop adversarial attacks, datasets, and benchmarks for ActiveFence’s AI security platform. Test LLM robustness through red teaming and vulnerability research.
Advance foundational voice AI research at Deepgram, from latent-space models and neural audio codecs to speech-to-speech systems. Build scalable, efficient technology for real-time human–machine interaction.
Develop foundational models for audio codecs, speech generation, and multimodal voice AI. Advance Deepgram’s real-time speech technology through efficient, scalable research.
Develop latent-space models for Deepgram’s voice AI platform, advancing neural audio codecs, generative speech, multimodal systems, and efficient inference on hardware.
Lead Collette’s adoption of Microsoft Copilot and AI agents, setting governance and improving data readiness. Help teams bring trusted AI into everyday work across the tour operator.
United States
New JerseyBuild and operate enterprise AI agents, chatbots, and integrations for Turtle’s electrical distribution business. Help keep AI systems secure, governed, and reliable.
United States
WashingtonSupport Johns Hopkins’ School of Government and Policy by managing sensitive data, audits, queries, and reports. Help maintain data processes and train end users in this remote role.
United StatesProbe frontier AI systems for vulnerabilities using jailbreaks, prompt injections, and misuse scenarios. Produce structured findings and reproducible attack examples to support AI safety evaluation.
Mindrift seeks US-based physicians to assess clinical vignettes and reasoning for medical AI projects. Part-time, project-based work pays up to $130 per hour for accepted tasks.
US physicians review clinical EHR vignettes and assess medical reasoning. Mindrift engages contributors on a project basis to help improve medical AI systems.
US physicians assess clinical vignettes, diagnostic reasoning, and treatment responses for Mindrift’s medical AI projects. Part-time, project-based work focused on improving evaluation quality.
US physicians review clinical EHR cases and assess reasoning quality for Mindrift’s medical AI projects. Part-time, project-based work supporting the improvement of clinical AI systems.
US-based physicians review clinical EHR vignettes and assess medical reasoning for Mindrift AI projects. Part-time, task-based work supports the improvement of AI systems for technology companies.
US-based physicians review clinical vignettes and assess the accuracy of medical AI reasoning for Mindrift projects. The work covers diagnosis and treatment benchmarks across multiple medical systems.
