About the job
Who are we?
At Cohere, our mission is to expand intelligence to enhance human experiences. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling the creation of innovative AI applications such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We are committed to playing a crucial role in the widespread integration of AI technologies.
We take pride in our work and are dedicated to enhancing the capabilities of our models to deliver exceptional value to our clients. Our fast-paced environment encourages hard work and agility, all while prioritizing customer satisfaction.
Cohere is composed of a talented team of researchers, engineers, designers, and more, each of whom is a leader in their field. We value diverse perspectives as an essential component of crafting outstanding products.
Join us in our mission to shape the future!
Why this role?
As a Member of Technical Staff specializing in Data Analysis and Evaluation, you will be instrumental in ensuring the excellence, dependability, and performance of our large language models (LLMs). Your responsibilities will include designing and executing data collection tasks, evaluating dataset quality, and analyzing the robustness and generalizability of our models. Collaborating closely with cross-functional teams, including researchers, engineers, and data annotators, you will contribute to data-driven decision-making that enhances the effectiveness of our AI solutions.
This role requires a blend of expertise in statistics, experimental design (including human annotation), and machine learning to guarantee that our models are trained on high-quality data and exhibit reliable performance across various scenarios. You will play a key part in advancing Cohere’s mission by ensuring our systems are robust, scalable, and impactful.
Please Note: Our offices are located in London, Paris, Toronto, San Francisco, and New York, but we proudly support remote work. You have the flexibility to work from anywhere!
Key Responsibilities:
Design and manage data collection initiatives, ensuring data quality and supporting human annotators.
Employ statistical methodologies to assess dataset quality and reliability.
Analyze and evaluate the generalizability and robustness of machine learning systems across a range of applications.
Collaborate with interdisciplinary teams to drive improvements in AI systems based on data insights.
