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Jobs / Whitecircle

Recruiter (Research)

Whitecircle · RemoteRemotemid

In short

  • ▸Contratación full-cycle de investigadores y ingenieros de IA en roles técnicos especializados (ML, evaluaciones, infraestructura, comportamientos de agentes).
  • ▸Buscas talento en laboratorios de IA, comunidades open-source y redes académicas; ofreces una propuesta técnica convincente a candidatos pasivos.
  • ▸Existe un enfoque profundo en seguridad de IA, con impacto real en sistemas de producción y liderazgo en modelos propios.

Speak and write fluent English (C1+)

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What they ask for

  • ✓2+ años de experiencia en reclutamiento full-cycle, con enfoque en IA y ciencia de datos.
  • ✓Capacidad para distinguir entre perfiles de investigación, ingeniería aplicada y infraestructura técnica.
  • ✓Conocimiento técnico sólido en LLMs, fine-tuning, evaluaciones, inferencia y sistemas de agentes.
  • ✓Experiencia reclutando a candidatos no activos en redes de la comunidad de IA y open-source.
  • ✓Capacidad de evaluar contribuciones técnicas reales: publicaciones, modelos, datasets, código en producción.
  • ✓Fluidez en inglés (C1+) para comunicación técnica y reclutamiento internacional.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

APIsLLMsFine-tuningInferenceEvaluationsData PipelinesModel BehaviorMultimodal LearningAgent SystemsML Infrastructure

Who should you write to at Whitecircle?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

TL;DR: We’re looking for an AI Research Recruiter who knows where exceptional AI Researchers and engineers can be found. You’ll own full-cycle hiring across research, machine learning, data, evaluations, and ML infrastructure, helping us build one of the strongest teams in AI safety. About us White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others We process over one hundred million API calls every month We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.

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