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.

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.

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.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

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.

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.

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.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

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.

Build and ship end-to-end features and agentic automations for North, Cohere's AI workspace for finance. Integrate financial data sources, enforce data isolation and RBAC, collaborate with Product/UX/ML/Sales, work with finance customers, ensure reliability/security/auditability, and iterate on platform capabilities using AI where appropriate.

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.

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.