The journal
Notes from the people layer.
Essays on frontier AI written from the perspective of the professionals making it work. Country guides. Profession pieces. Model launches, in context. Slowly, carefully, and only when we have something worth saying.
How to spot legitimate remote AI work
There is real, well-compensated remote work in AI right now. There is also a growing ecosystem of scams that mimic it. If you are a qualified professional in an emerging market, being able to tell them apart is table stakes.
The people layer of AI
Why human expertise, in every field, is becoming the scarcest input in frontier AI. And why that changes what it means to be a doctor, a lawyer, a teacher, or a researcher in the next decade.
Continue readingThe language map of frontier AI
Frontier AI models are still deeply English-weighted. That distortion is closing quickly, and the professionals doing the closing are the multilingual specialists in emerging markets.
Continue readingWhat happens when a new model ships
Model launches are treated as consumer events. Inside frontier AI labs, they are the moment expert evaluation work explodes. Here is what actually changes, and why the demand for domain expertise ratchets up with every release.
Continue readingWhat labs mean when they say 'evaluation'
Evaluation is the single most important word in frontier AI work, and the one professionals entering the field understand least. Here is what it actually means, what evaluation work looks like day-to-day, and why it is priced the way it is.
Continue readingThe work behind the model
The public conversation about frontier AI focuses almost entirely on the models. The work that goes into training them, especially the expert human work, is treated as invisible infrastructure. It should not be.
Continue readingPayments, taxes, and the invisible math of remote expert work
The compensation for frontier AI expert work is denominated in USD and paid to your bank. The practical mechanics of receiving that money, keeping it, and paying tax on it are not complicated, but they are worth writing down clearly for anyone doing this from an emerging market.
Continue readingThe two mistakes qualified professionals make when they enter this world
There are two common mistakes made by qualified professionals in their first months of expert AI work. Both are entirely fixable, and both are worth naming plainly before you make them.
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