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Cohere AI

Data Partnerships Coordinator (1-year contract)

Posted 4 Days Ago
Be an Early Applicant
In-Office or Remote
2 Locations
Mid level
In-Office or Remote
2 Locations
Mid level
Manage data partnerships end to end, including sourcing opportunities, vendor outreach, requirements definition, contracting, data transfers, updates, and issue triage. Collaborate with modeling and annotation teams, oversee external data scraping vendors, facilitate dataset handoffs, product manage novel data collection methods, and develop scalable processes and tools. The role requires experience managing data vendor programs, AI data supplier relationships, data analysis, data management, and cross-functional collaboration.
The summary above was generated by AI
Who are we?

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!

Why this role?

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.

As a Data Partnerships Coordinator, you will:
  • 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 may be a good fit if:
  • 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

 

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