Product Designer, Human Data at Cohere

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

Requirements

Product Design Experience: 3+ years designing digital products, ideally with experience in internal tools, data workflows, or ML/AI products. A portfolio demonstrating how you've designed for complex, technical use cases
Technical Fluency: Comfort working in technical environments and an ability to quickly grasp ML concepts like training data, evaluation metrics, and model feedback loops. Bonus points for understanding data annotation, quality assurance processes, or large-scale data systems
Cross-Functional Partnership: A collaborative approach to product development—working closely with Product Managers to identify opportunities, with Engineers to navigate technical constraints and review implementations, and with stakeholders across the organization to align on solutions
User-Centered Approach: A deep commitment to understanding user needs through research and direct engagement. You drive research initiatives, translate findings into design decisions, and stay informed on industry trends and AI developments that shape the product landscape
Craft Excellence: Meticulous attention to craft and detail. You're proficient in Figma, build scalable component systems, and consistently elevate the quality of everything you touch. Bonus points for strong visual design skills in typography, layout, color, and composition
Communication Skills: Clear communication abilities

Responsibilities

Own the design process end-to-end for data collection and annotation tools
Create intuitive interfaces that enable both expert and non-expert annotators to provide high-quality feedback efficiently and at scale
Balance technical complexity with usability to deliver intuitive workflows for the annotation experience, understanding how task design, instruction clarity, and interface patterns impact data quality and throughput
Collaborate closely with modeling teams, data operations, and cross-functional stakeholders to understand evolving data needs and translate technical requirements into annotator-friendly experiences
Drive research initiatives with annotators and data operations teams to identify pain points, validate design decisions, and continuously improve the quality and efficiency of data collection
Design patterns and components that scale across diverse annotation tasks, model types, and quality requirements

Skills

Product Design

UI Design

UX Design

Figma

Workflow Design

Annotation Tools

Human Data Collection

Machine Learning Interfaces

Model-in-the-Loop

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.

Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.

High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.

Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.

Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.

North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.

Cohere's multilingual support breaks language barriers, expanding its global market reach.

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