Jobs at Cohere AI

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.

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.

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.

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

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.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

The engineer will develop features for an AI workspace platform, deploy AI solutions in public sector environments, and interact with clients.

The Director of People Operations will establish systems and infrastructure for managing People operations at scale, addressing operational challenges in a globally distributed environment.

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

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

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

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 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.

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.

As a Data Engineer, you'll develop storage infrastructure, collaborate with teams, implement data systems, and contribute to product strategy. You'll work with advanced AI systems and process production-grade data.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.