Founder/CEO

This remote opportunity is for U.
S.-based founders and CEOs who want to monetize unused or retired datasets from their company. You will work with Specific to identify company-owned data with responsible commercial potential, document how it was created and may be used, and evaluate opportunities to license it for AI training, research, or other approved applications. Location United States only Engagement Flexible contract projects Compensation $5k/month pilot Schedule Flexible; varies by dataset and partnership What you’ll do
• Identify unused, archived, discontinued, or retired company datasets that may have legitimate commercial value.
• Explain each dataset’s contents, provenance, collection methods, historical purpose, format, scale, and known quality limitations.
• Coordinate with internal legal, privacy, security, and data owners to confirm the company has authority to evaluate and license the data.
• Work with Specific to assess buyer demand, define appropriate use cases and restrictions, and structure a responsible monetization opportunity. Required Qualifications
• Currently based in the United States.
• Legally authorized to work in the United States.
• Current or former founder, CEO, or senior executive with credible knowledge of a company’s data assets and authority to explore a potential data partnership.
• Access to an unused or retired dataset that the company owns or is legally permitted to license; do not submit confidential, restricted, personal, or third-party data without written company authorization.
• Ability to describe the dataset accurately and coordinate the necessary internal review before any data is transferred. Preferred Qualifications
• Experience with data licensing, enterprise partnerships, AI products, research datasets, or other business-to-business commercialization initiatives.
• Familiarity with data governance, privacy, consent, intellectual property, retention, and contractual usage restrictions.
• Datasets with clear provenance, useful metadata, meaningful scale, and specialized coverage that would be difficult to reproduce.