pSamba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. /p pNine countries. Fifteen people on the team. Not nearly enough of them free on Sundays. That's the gap you'd fill. /p pOur system records linear TV channels and pulls out everything that might be an ad. Only a fraction of it actually is. The team, mostly contractors across Poland and Italy plus a few colleagues in the US, decides which clips are ads and which aren't, then tags the ones that are. We're adding another market in January, volume keeps growing, and right now the team is stretched thin. Sundays most of all. /p h3What you'd actually do /h3 pLook at what the system flags, decide whether it's an ad,



and apply the metadata, following the rulebook for that country. There are a lot of rules, and every market has its own. You'd start with a structured training block with Riccardo, then work the queue alongside the team. German is the language we're thinnest on, so that's the one we're hiring for first. /p pIt's repetitive, especially in the first weeks. /p h3What you need to already be good at /h3 ul lipFluent English and German. You'll work in both /p /li lipSteady, structured work. Office, shifts, client-facing, whatever it was, you know what showing up consistently looks like /p /li lipAttention to detail. You can follow a long rulebook and apply it the same way on the hundredth clip as on the first /p /li lip32–40 hours a week, bevery Sunday /b /p /li /ul h3Bonus points /h3 pFrench · Italian · Polish · Spanish · subtitling, transcription or localization QC · content moderation or data labelling · fa

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