A software consultancy and AI research firm is turning machine learning toward centuries-old maritime history. AE Studio has announced a job opening for a literal treasure hunter to locate and salvage lost shipwrecks, offering compensation that includes equity and a share of recovered cargo. The role pays between $50,000 and $500,000, weighted heavily toward upside from plunder.

What You Need to Know

AE Studio's Skunkworks division developed an AI model that scans 80 million pages of Spanish, Portuguese and Dutch colonial records spanning 500 years. The model identifies undiscovered shipwreck locations by cross-referencing nautical logs and insurance documents. The firm is now hiring a salvage expert to physically verify and recover the wrecks, with the first dives expected to return empty-handed until coordinates are refined.

The AI Approach to Shipwreck Discovery

AE Studio claims the model processes admiralty records, cargo manifests and insurance claims from the Spanish colonial era. The dataset includes paperwork from regions now part of Florida, Colombia and Tanzania. By mapping historical shipping routes against known wreck events and modern oceanographic data, the system predicts likely wreck sites. The firm warns that historical records were sometimes falsified to hide treasure locations, drawing a parallel between that deception and misalignment problems in AI training.

The job listing includes four coordinates as sample work sites. One points to the wreck of the Spanish galleon Nuestra Señora de Atocha west of Key West, lost in a hurricane in 1622. Another lies off Florida's Treasure Coast, where 11 Spanish ships sank in 1715. A third coordinate sits near Cartagena, Colombia, along a 1739 shipping lane. The fourth marks a dry land point near Tanzania from 1798, suggesting some records may refer to cargo moved inland.

  • Wreck 1: Spanish galleon Atocha, 1622, west of Key West, Florida.
  • Wreck 2: Eleven Spanish ships from the 1715 fleet, near Florida's Treasure Coast.
  • Wreck 3: Shipping lane off Cartagena, Colombia, circa 1739.
  • Wreck 4: Tanzania coastal site, 1798, possibly a land cache.

Job Requirements for a Modern Buccaneer

The firm seeks candidates with a lifetime of nautical experience. Required skills include diving certifications capable of handling conditions that insurance companies refuse to cover, administrative ability to secure permits and manage port logistics, and knowledge of sea creature safety. Preferred qualifications include pre-1800 salvage experience, proficiency in Spanish and Portuguese, sailing certifications, ownership of a personal dinghy, and operational experience in high-risk maritime areas such as Somalia, Hormuz or Malacca.

Compensation combines equity in the venture, a cash range of $50,000 to $500,000 tied to performance, and a share of recovered treasure. AE Studio covers logistics and legal costs. The firm warns that the first several dives are likely to yield nothing, as the AI model provides probability zones rather than exact locations.

Why This Matters

This hiring push signals a new frontier for AI application beyond digital products. By mining analog historical archives, AE Studio demonstrates that machine learning can unlock physical assets overlooked for centuries. If successful, the venture could create a template for AI-driven underwater archaeology and commercial salvage, potentially spawning subsidiaries that attract entrepreneurial treasure hunters. The project also raises questions about ownership of colonial-era cargo and the legal frameworks governing recovery of sunken heritage. For the maritime industry, the combination of AI analysis and human salvage expertise may accelerate discovery of historically significant wrecks while generating material value from lost cargo.

Practical Implications for Job Seekers

The role is not for casual sailors. Candidates must be comfortable with extreme remote work, bureaucratic red tape and physical danger. AE Studio's Skunkworks division has a history of unconventional projects, suggesting the position is serious despite its whimsical title. Potential applicants with rare combinations of AI literacy, diving credentials and historical knowledge may find themselves uniquely suited for a career that bridges machine learning and maritime exploration.