Firm that uses AI to locate ancient lost shipwrecks is hiring a literal pirate to salvage sunken treasure, paying up to $500,000 a year — AI mines 500 years of Spanish colonial records spanning 80 million pages to find undiscovered wrecks and lost cargo
When you purchase through links on our site, we may earn an affiliate commission. The general impression of the state of the tech job world might be that people are being fired left and right, and the only open jobs are AI-related. But what if you could use your sailing and diving experience all the same?
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- ▪The general impression of the state of the tech job world might be that people are being fired left and right, and the only open jobs are AI-related.
- ▪But what if you could use your sailing and diving experience all the same?
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Tom's Hardware |
| Canonical URL | https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-company-hiring-a-literal-pirate-to-salvage-sunken-treasure-found-by-artificial-intelligence-pays-up-to-usd500k-a-year-mining-80-million-pages-of-spanish-colonial-records-to-find-undiscovered-wrecks-and-lost-cargo |
| Publication time | Thu, 30 Jul 2026 10:00:00 +0000 |
| Retrieval time | 2026-07-30T10:02:06.396Z |
| Last seen | 2026-07-30T10:02:06.396Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | luwGpLvXw5TB · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Tech Industry Artificial Intelligence Firm that uses AI to locate ancient lost shipwrecks is hiring a literal pirate to salvage sunken treasure, paying up to $500,000 a year — AI mines 500 years of Spanish colonial records spanning 80 million pages to find undiscovered wrecks and lost cargo News By Bruno Ferreira Published 30 July 2026 You'll have to provide your own bottles of rum, though. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Tom's Hardware.
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