<div class="content-intro"><h3>About Us</h3> <p>Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.</p></div><h3><span data-contrast="none"><span data-ccp-parastyle="heading 1">About Stealth Startup</span></span></h3> <p><span data-contrast="none"><span data-ccp-parastyle="heading 1">We're launching a new startup that is redefining how mission-critical organizations adopt AI. Our platform helps organizations across healthcare, government, and other regulated industries transform institutional knowledge into intelligence assets that improve the accuracy, reliability, and impact of AI in real-world workflows. We're a fast-moving team of builders, researchers, and operators working to help customers create, measure, and continuously improve AI capabilities they can own and control.</span></span></p> <h3><span data-contrast="none"><span data-ccp-parastyle="heading 1">About the Role</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"201341983":0,"335559738":240,"335559739":100,"335559740":259}"> </span></h3> <p><span data-contrast="auto">We are seeking a Member of Technical Staff, AI Researcher to help turn complex, real-world workflows into the evaluation frameworks, reinforcement learning environments, and feedback systems needed to advance frontier AI.</span><span data-ccp-props="{"201341983":0,"335559739":100,"335559740":259}"> </span></p> <p><span data-contrast="auto">This is a blended research and engineering role for someone who operates at the intersection of scientific inquiry and technical execution. You will investigate how data, evaluations, and feedback systems influence model behavior, while building the infrastructure and tools required to test and apply those ideas.</span><span data-ccp-props="{"201341983":0,"335559739":100,"335559740":259}"> </span></p> <h3><span data-contrast="none"><span data-ccp-parastyle="heading 1">Responsibilities</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"201341983":0,"335559738":240,"335559739":100,"335559740":259}"> </span></h3> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Design and build evaluation frameworks, benchmarks, and methodologies for frontier large language models, AI agents, multimodal models, and reinforcement learning environments</span></span><span data-ccp-props="{"201341983":0,"335559685":317,"335559739":60,"335559740":259,"335559991":230}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Develop reward models, programmatic verifiers, graders, and other feedback systems that make model behavior measurable and improvable</span></span><span data-ccp-props="{"201341983":0,"335559685":317,"335559739":60,"335559740":259,"335559991":230}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Design and run controlled supervised fine-tuning and reinforcement learning experiments to measure the effects of datasets on model capability, generalization, and alignment</span></span><span data-ccp-props="{"201341983":0,"335559685":317,"335559739":60,"335559740":259,"335559991":230}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Research and define what makes evaluations representative of real-world work and operational environments</span></span><span data-ccp-props="{"201341983":0,"335559685":317,"335559739":60,"335559740":259,"335559991":230}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Build systems for producing high-quality human data, including expert task design, annotation methodologies, data-quality signals, and data-attribution techn