With winter coming up, it’s time to sit down in your sofa with an enjoyable movie or watch the entire set.
If you’d planned organizing a 90s romance event (arguably the best time of the genre) You can now be paid $1,000 for doing exactly that.
You can make the sum by watching 10 classic movies without ever leaving your couch and the films include 10 Things That I hate about You Never Been Kissed the Clueless or There’s Something about Mary. On the list is those of the Tom Hanks/Meg Ryan diptych of Sleepless in Seattle and You’ve Got Mail..
To complete the list are four films featuring the awe-inspiring 90s rom-com powerhouse, Julia Roberts. Pretty Woman, Notting Hill and My Best Friend’s Wedding and Runaway Brideare all available including four and one of the films on this list starring Richard Gere.
The lucrative opportunity is promoted through the jewelers Shane Co., who are seeking one person who is able to sit before the computer to review the scenes of falling in love the honeymoon phase and eventually breakup.
“You will be asked to take notes and track specific details in each of the movies,” the advertisement states, and adds that they’re looking for the “hopeless romantic.”
You’ll receive a worksheet for each film that cover the entire decade that you’ll have to fill in with all of the crucial details of each love story.
The ideal person for this job should be someone with an “true obsession with romantic comedies,” and “love for all things cinematic,” they stated. Additionally, you’ll have to have the time to see the 10 films in the course of a month.
Along with the $1000 to cover every popcorn you wish for, you’ll receive the fifty-cent Amazon voucher to rent all movies.
Application deadline is November 22. All viewing required to be completed on or before Monday, December 27. The applicant must be at least 18 and a resident within the U.S.
If you want to be considered for a job it is necessary to state the reasons why you love rom-coms, the film that should have been added to your list of films, as well as what film you’d love to watch. This is a simplified version of the data.