Jobs at Cohere AI

The Customer Marketing Manager develops customer stories and marketing campaigns, ensuring engagement and advocacy while collaborating with multiple teams to optimize strategies.

The role involves labelling, auditing, and correcting language data in Modern Standard Arabic, ensuring quality and accuracy in AI training for machine learning models.

The Data Annotation Specialist will label, rank, and audit data, ensuring high accuracy in Portuguese. Responsibilities include evaluating responses, suggesting improvements, and providing feedback to teams. Requires proficiency in Portuguese and basic familiarity with data formats.

As a Data Annotation Specialist, you'll label, audit, and correct machine learning data while ensuring high accuracy in Japanese. You'll also evaluate responses and recommend optimizations based on project guidelines.

In this role, you will optimize prompts, develop tools, shape core AI agents, and design solutions that meet customer needs in diverse sectors.

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

Cohere is looking for a Research Intern to conduct machine learning research, focusing on large language models and associated areas, while disseminating findings through publications and practical applications in product development.

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.

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.

You will oversee the full lifecycle recruitment for technical positions, collaborating with leaders to attract top talent in tech fields.

As a Data Annotation Specialist, you will break down engineering tasks for AI models, evaluate their responses, and ensure outputs are accurate through labeling and proofreading.

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

The Social Content Creator will elevate the brand's presence on social media, create engaging content, and analyze performance trends. Responsibilities include developing tailored content for different platforms, collaborating with teams, and monitoring social media analytics.

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.

As a Senior HR Business Partner, you will support growth and enhance employee experience through talent strategy, organizational design, and critical HR projects while collaborating with tech leaders.

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 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.

As a Senior Full Stack Engineer, you'll build features for an AI workspace, develop agents for sensitive data, write minimal code, and collaborate with researchers to implement models.