Jobs at Cohere AI

Label, rank, audit, and refine human- and model-generated text to improve LLM safety and policy alignment. Apply nuanced safety guidelines, create adversarial prompts and test cases, identify annotation inconsistencies, and provide feedback. Work independently in a remote, asynchronous team, handling potentially explicit or disturbing content with high attention to detail and consistency.

Optimize and scale search applications, implement performance monitoring, develop benchmarking frameworks, and ensure high availability of search services.

The Head of Sales Enablement will design and execute a sales enablement strategy, developing resources, metrics, and a high-performing team to drive revenue impact in AI and ML environments.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

This role involves building and scaling compliance programs, translating security and regulatory requirements into scalable solutions, and collaborating across teams, specifically in AI governance and technical compliance automation.

Lead customer success for AI solutions in Montreal, building relationships with stakeholders and ensuring successful AI adoption and value realization while navigating complex regulatory requirements.

Lead the deployment of North in private cloud environments, collaborating with IT teams, designing strategies, and resolving technical issues.

Evaluate and label model-generated and human-written software engineering outputs for coding, debugging, and codebase-related tasks. Assess agent trajectories, prompt models for complex coding tasks, proofread and improve responses, and report quality and performance trends. Part-time contractor role contributing to model development.

Evaluate and label model-generated and human-written code outputs, debug and assess code/agent trajectories, prompt models for complex data science tasks, review visualizations, and report quality trends to improve model behavior.

Own product vision, strategy, and execution for North. Set 6–18 month roadmap, drive activation/adoption/retention/expansion, run experiments and metrics, engage enterprise customers, partner with research and engineering to productize model capabilities, and build and lead a high-performing PM and documentation team while ensuring security and time-to-value for enterprise deployments.

Lead North's integrations strategy and execution: prioritize, ship, and drive adoption of connectors and ecosystem tooling. Partner with customers and engineering to convert integrations into reusable platform capabilities (auth, connector framework, data sync, permissions). Define developer/partner experience (APIs, SDKs, plugins) and instrument analytics to measure adoption, time-to-stand-up, and retention.

As a Senior Software Engineer, you will enhance the platform's authentication, billing, and payment systems while adding features to the user interface. You'll be responsible for writing efficient code, ensuring high security and privacy standards, and managing software deployment processes.

The Staff Software Engineer will develop and deploy high-performance machine learning systems, optimizing large language models for production environments. Responsibilities include ensuring high availability and low latency for AI applications and working collaboratively across teams.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

As a Forward Deployed Engineer, you will build and ship features for an AI workspace platform, develop autonomous agents, and manage end-to-end deployments, collaborating closely with clients in various sectors.

As a Data Annotation Specialist, you will label, audit, and optimize data for AI models in Chinese while ensuring high accuracy and quality. You will perform repetitive tasks and collaborate with teams, providing feedback and recommendations for data improvement.

Build and ship full-stack features for North, develop autonomous agents that access sensitive enterprise data, productionize state-of-the-art models, write minimal, secure low-resource code, and collaborate with researchers to deploy performant RAG/agentic applications while prioritizing security and user experience.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

The Technical Program Manager will coordinate releases, manage dependencies, ensure effective communication with stakeholders, and establish release processes for multiple AI product teams.