Deep Sea Data is hiring a professional pirate to help salvage sunken treasure discovered through artificial intelligence analysis of historical records [1].

The move represents a fusion of cutting-edge data science and traditional maritime salvage. By combining machine learning with human expertise in underwater recovery, the firm aims to locate cargo that has remained hidden for centuries.

To identify potential wreck sites, the research firm is mining 500 years [1] of Spanish colonial records. This massive dataset spans 80 million pages [1] of documentation, allowing the AI to pinpoint undiscovered wrecks and lost cargo that would be impossible for a human researcher to find manually.

Because the AI can only provide coordinates and historical context, the firm requires a seasoned specialist to execute the physical recovery. The job listing seeks a "literal pirate" capable of operating in the challenging environments where these ships originally sank [1].

Deep Sea Data is offering a salary of up to $500,000 per year [1] for the role. The high compensation reflects the rarity of the skill set required, combining deep-sea diving expertise with the knowledge of illicit or unconventional salvage operations.

Tom's Hardware said the vacancy is an "extremely remote lob listing" [1]. While the specific geographic locations of the target wrecks have not been disclosed, the operation will focus on areas where Spanish colonial fleets were known to travel.

The project demonstrates how AI can be used to solve physical-world mysteries by processing vast amounts of unstructured historical data. Once the AI identifies a high-probability site, the human element takes over to navigate the risks of the open ocean [1].

“The firm is mining 500 years of Spanish colonial records”

This initiative highlights a growing trend of 'AI-driven archaeology,' where large language models and data mining are used to synthesize centuries of bureaucratic records to find physical assets. By pairing this digital discovery process with high-cost human specialists, companies are attempting to monetize historical archives that were previously considered too vast or disorganized to be useful.