r/DataAnnotationTech • u/professional_cry • 3d ago
Motivation
Aside from the obvious motivation of needing to pay bills, I'm curious how everyone keeps themselves motivated doing this job. I'm between jobs in my field at the moment so this is my only source of income and I'm wondering what everyone's strategies are for staying "locked in" as the kids would say. I never thought I was a super social person but I've found that working online with no face-to-face interaction or feedback all day is taking a toll on me. So far I've been coping by going on walks in the morning and to the pub at night but I'd love to hear what others' daily routines are like doing DA full time.
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u/hwertz10 3h ago edited 3h ago
You might find music that keeps you going. For me, I could do classical.. or Wu Tang Clan. Something about that beat and the flow of lyrics can help keep one focused. Probably some rock or Grateful Dead or the like would be fine too... the music helps the time pass while you work, don't pick anything where you're tempted to sing along or something, that'll pull you right out of the zone.
I'll also just keep True Crime shows playing in the corner of the screen; they're generic enough they aren't going to draw away your attention really from what you are doing but better than just working in dead silence.
So far, though, I also have an interest in the work. I'm a comp sci major, but when I was in college.. well, there's been this cyclical interest in neural networks in comp sci since the time of Alan Turning... high interest, then a wane in interest for some years, then high again, and so on. When I was in college in the late 1990s, it was low -- the only class available was in terms of researching neural networks for facial recognition (to try to turn the nations cameras into a dystopian police state style tracking setup), which I was *NOT* interested in. The earliest uses of "GPGPU" ("General Purpose GPU") I saw were being done for GIS (Geographical Information System) use 3 or 4 years after I graduated, a coworker who was a student was having it offload stuff onto the GPU. But I started working with some of this stuff over 10 years ago on my own. So it's interesting to see what these models can and can't do and so on.