Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
At Cohere, we strive to continually improve our large language models. Academic research and real-world experience has demonstrated that high quality, diverse datasets can contribute as much to the performance and capabilities of LLMs as the underlying model architecture and training regimen. We at Cohere believe data will play a central role in accelerating the advancement of our already world-class language models.
Data is therefore critical to our success. Our ability to acquire data that is accurate, relevant, and timely is key to our ability to improve the quality of our models. We strive to continuously improve our data acquisition processes and systems to ensure that we have the data we need to stay competitive and meet the needs of our customers. We run frequent experiments to learn more about the role of data for model quality, from data mixtures, to cleaning techniques, to quality control.
Please Note: This is a 1-year contract position.
Scout new data partnering opportunities and manage the process end-to-end, including outreach, discovery, requirements definition, contracting, data transfers and regular data updates; triage data feeds issues as they arise
Partner with Modeling to manage the relationships and data requirements with external data scraping vendors
Facilitate hand-off of newly acquired datasets to Modeling and Annotation
Product manage novel data collection methods and applications as needed
Always keep an eye towards scaling the function with bespoke processes and tools
You have more than 3 years of experience managing data vendor programs
You've worked in a partnership-focused role at an AI-focused company, and have built relationships with AI data suppliers
You're proficient in data analysis and data management
You're energized by proactively seeking out new data sources and building long-term, trusting relationships with vendors
You enjoy cross-functional collaboration and have partnered with Technical and Business teams
You're resourceful and approach problem-solving creatively
Evaluate automotive warranty litigation cases by inspecting vehicles, assessing technical merit, documenting findings, and coordinating with legal counsel on case reviews and supporting materials.
Conduct complex sports integrity investigations, gather and assess evidence, manage digital forensics, and prepare accurate case files while collaborating with clients and external stakeholders.
Own end-to-end planning and delivery of product launches and campaigns for a dedicated client, coordinating teams and suppliers while managing client relationships, timelines, budgets, and quality.
Manage claims from initial notification through finalisation, coordinating assessments and payments, communicating with Members and stakeholders, handling complaints and recoveries, and ensuring fair outcomes and accurate claim files.
Lidera projetos de meios de pagamento e operações financeiras, evoluindo jornadas de arrecadação, conciliação e integração de sistemas da definição de requisitos à implantação e estabilização.
