Curated AI safety and governance jobs

Lead Cohere’s global external affairs function within Government Affairs and Public Policy, building partnerships and policy narratives around enterprise AI, data governance, safety, and model safety.

Lead US government affairs and AI policy strategy for Cohere, including advocacy on AI regulation, legislative drafts, and coordination with responsible AI and legal teams.

Senior technical role on Cohere’s Safety for Agents team focused on data generation, post-training algorithms, and evaluation methods to improve safety, trustworthiness, and security of LLMs and agentic models.

Senior research engineer role on Cohere’s Safety / Modelling Safety and Trust team building data tooling and pipelines for training and evaluation data to support safer, more reliable models.

Technical Program Manager for Cohere’s public sector and defence AI deployments, with substantial responsibility for governance, compliance, risk assessments, and responsible AI adoption in sensitive government contexts.

Legal counsel role focused on EU AI and privacy regulation for enterprise AI products, including compliance programs, risk assessments, and trustworthy design.

Senior research engineering role focused on building evaluation methods, benchmarks, datasets, and infrastructure for measuring frontier LLM capabilities; relevant because it directly concerns model evaluations for advanced AI systems.

Product management role bridging Cohere's safety research and North product, translating model evaluations and red-teaming findings into safety features, guardrails, and evaluation frameworks.

Senior research role focused on creating next-generation evaluation methods, benchmarks, and infrastructure to measure LLM progress and model capabilities.

Forward Deployed Engineer role building and deploying LLM-powered agentic workflows for enterprise customers, with explicit responsibility for evaluation frameworks, safety, observability, and auditability of AI systems.

Senior technical staff role on Cohere’s Safety for Agents team focused on data generation, post-training algorithms, and evaluation methods to improve safety and trustworthiness of LLMs and agents.

Part-time remote contractor role annotating, auditing, and red-teaming LLM outputs to improve model safety, policy alignment, and prevention of unsafe or adversarial outputs.

Technical program manager for Cohere’s public sector and defence AI deployments, focused on delivery, governance checkpoints, regulatory compliance, and responsible AI considerations.