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ArminRS

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Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID

We build the evaluation datasets and RL environments that make AI reliable where mistakes are expensive: finance, healthcare, and legal. We design expert-curated training data, calibrated rubrics, and RL environments for frontier AI labs and startups pushing the frontier of what models can do.

We're a small London-based team running multiple active projects, so what you ship gets used immediately by labs, startups and internal domain experts. We recently launched SpreadsheetBench v2 and work on ultra long-horizon tasks.

We're hiring:

* MTS, Applied AI — design the next benchmarks and RL environments — https://jobs.ashbyhq.com/aptura/c299e1f2-cdb4-4842-b5f3-8aa6...

* MTS, SWE / Product — build the platform behind every dataset — https://jobs.ashbyhq.com/aptura/cd6b6df2-1a75-442e-83b3-2ae0...

For each size there is a ".en" and a multilingual one. I'm using the multilingual one -> you talk in German and receive a German transcript. On page 23 of the paper you can see the WER's of each language (https://cdn.openai.com/papers/whisper.pdf) I limited my app to the languages that had a max of around 20% WER.

Sure if the repo has a xcodeproj you can just open it in XCode, change the signing and improve on it. (Just make sure to always respect the licenses) If you want to play with whisper.cpp you can use this SwiftUI demo: https://github.com/ggerganov/whisper.cpp/tree/master/example...