Structural engineer • menifee ca
We are looking for engineers who build and operate LLM agents in production, and who have real visibility into how agents are actually used inside a company.You have probably: - Shipped an agent th... Show more
At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires.You know that a positive work environment creates happy employees... Show more
Role Overview** - Mercor is seeking senior data science and analytics professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise data and analytics contexts.The work... Show more
Monitors, inspects and completes tasks for Water Restoration jobs to ensure completion of drying, demolition and various restoration activities.Prepare and review documentation to include notes, ph... Show more
With over 500 employees in the U.Attalon engineers critical optical, laser, and coating technologies that enable systems to see farther, target faster, and survive the harshest environments.From hi... Show more
Computational Structural & Mechanical Engineering Expert** **About the Project** We're building a large-scale benchmark to test how well advanced AI systems can solve hard computational scientific ... Show more
Computational Statistics and Applied Mathematics Expert ### About the Project We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering p... Show more
Mercor is hiring experienced music producers and audio engineers to evaluate generative music AI models, in partnership with a leading AI lab.You will assess AI-generated music across a wide range ... Show more
The average salary range is between $ 78,967 and $ 135,731 year , with the average salary hovering around $ 97,500 year .
We are looking for engineers who build and operate LLM agents in production, and who have real visibility into how agents are actually used inside a company. You have probably: - Shipped an agent that real users depended on, and been on the hook when it broke. - Figured out how to tell whether an agent got better or worse after a change. - Run agents that outlive a single request: scheduled jobs, long-running work, cloud sandboxes. - Watched your org build an internal assistant, and seen who adopted it and who quietly did not. We are especially interested in the layers most people do not talk about: internal monoagents wired into company data, shared company memory, reusable skills and playbooks, the tool and MCP surfaces agents call, and how anyone sees what agents did and what they cost. Applying starts with a short conversational AI interview. No coding, no take-home. We want to hear how you actually think about agent reliability, evaluation, and adoption, and the tradeoffs you have made in real systems. Bring war stories. The messier and more specific, the better. If that screen stands out, we will invite you to a live 30 minute conversation with our team. We pay $100 to $500 for that conversation, paid on completion of the call, with the amount depending on depth of experience. If that sounds like you, apply and complete the screen. We review every submission.
