Canada.com has the story about Netflix film taggers, people who get paid to watch movies and answer more than 100 questions about the movie.
Every week, Canning receives a list of movies and TV shows. Usually there are about five, ranging from Quebecois preschool shows to crazy violent Sci-Fi flicks.
She watches each with a spreadsheet open on her laptop and notes every detail imaginable in the film. Does it end tragically or have a happy one? Was there a high squirm factor? What about the use of curse words?
“It covers everything from big picture stuff like storyline, scene and tone, to details of whether there is a lot of smoking in the movie,” Canning says.
Each Netflix entry in the massive Netflix library is tagged with north of 100 data points. Some are simple, like the gender and jobs of the main characters. Others are ratings, like how violent is the title on a scale of one to five?
These tags power the Netflix suggestion engine. The company has created algorithms that suggest films based on user behavior. If you watch ten films with depressing endings, Black Swan might pop up the next time you log in. (Sorry, spoiler alert.)
Early in its existence, Netflix tested out film tags provided by external companies, but found that they failed in comparison to actual human taggers.
Has anyone worked as a Netflix Film Tagger?