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Data Procurement Lead

GPTZero

Toronto

On-site

CAD 80,000 - 120,000

Full time

7 days ago
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Job summary

GPTZero is seeking a Data Procurement Lead to drive the acquisition of high-quality data for AI models. This role empowers individuals to improve the accuracy of AI detection while ensuring compliance and quality in data sourcing. Candidates should possess strong negotiation skills and a background in data licensing, with a degree from a reputable institution. Join a passionate team committed to integrity in information as we shape technology for a future driven by trust.

Qualifications

  • Proven experience in data acquisition and licensing deals.
  • Ability to communicate effectively with data partners.
  • Strong track record in outreach and CRM usage.

Responsibilities

  • Manage relationships with data providers for large-scale data acquisition.
  • Structure and negotiate contracts for data purchases.
  • Collaborate with the machine learning team on dataset specifications.

Skills

Excellent communication
Commercial acumen
Cold outreach expertise
Negotiation skills

Education

Bachelor’s degree from an accredited university

Job description

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About GPTZero

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity.

About GPTZero

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity.

Our team comes from high-performing engineering cultures, including Uber, Meta, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.

What we're looking for

We are seeking a driven, resourceful Data Procurement Lead to drive data acquisition and sourcing of text datasets from key industries. You will be instrumental in gathering the high-quality, diverse datasets to increase the accuracy of AI detection models for millions of users worldwide.

What you’ll contribute

  • Own outbound sourcing and outreach to build relationships with data providers and acquire large volumes of non-public text data
  • Identify and qualify prospective data partners in key industries such as education, examination and admissions
  • Work with machine learning team to set dataset specifications, and map the market for sources of data
  • Own outbound sourcing and outreach to build relationships with data and partnership officers
  • Structure, negotiate and close large-scale commercial purchasing agreements, ensuring balance of cost, data quality and usage rights
  • Draft, review and finalize data sharing and licensing terms, and actively address compliance considerations
  • Manage CRM and communicate progress to executive leadership
  • Note: this is a contract role (20-40 hrs/week), with opportunities for contract-to-hire

Qualifications

  • Bachelor’s degree from an accredited four-year university
  • Professional experience brokering or managing data-acquisition and licensing deals at large scales
  • Loves picking up the phone, and excellent at written and verbal communication
  • Strong track record of successful cold outreach, using CRM and email drip campaigns
  • Strong commercial acumen: able to construct financial models, craft compelling value propositions and negotiate favourable terms under tight timelines
  • Quick learner, high initiative, highly motivated
  • Remote is fine (our machine learning team is in Toronto), although we will require availability to meet for 1 hour, 3x a week from 10-6pm ET.
  • Bonus
    • Well-established contacts within online study platforms, school districts, higher education institutions, MOOC platforms or similar organizations
    • History of sourcing and delivering datasets that materially improved machine-learning, analytics or product initiatives
Who you'll be joining

Our Team

You will be working directly with

  • Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML
  • George (our AI research lead) PhD from University of Toronto and ex-AWS research.
  • Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.

Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career.

Together, we are committed to making a permanent impact on the future of writing, and on humanity

Our Angels and Advisors

  • Tom Glocer (Legendary Reuters CEO)
  • Mark Thompson (Legendary NYT CEO and current CNN chief executive)
  • Jack Altman (CEO of Lattice, brother of Sam Altman)
  • Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI’s original GPT paper)
  • Emad Mostaque (CEO of Stability AI)
  • Doug Herrington (CEO of Worldwide Amazon Stores)
  • Brad Smith (President of Microsoft)
  • Tripp Jones (Partner at Uncork Capital)
  • Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)
  • Russ Heddleston (CEO of Docsend)
  • Alex Mashrabov (Snapchat, Director of AI)
  • Faizan Mehdi (Affinity, Director of Demand Generation)

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Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Technology, Information and Media

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