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Even if you’re brand-spanking new to the game, no one deserves a gig that pays one cent per word. And chances are if someone is looking for the sort of writer willing to write a word a cent, they’re not going to be the best client to work for. Don’t sell yourself short just because you’re new. Have a little patience, keep persevering, and you will find those clients who truly value you.

Landing a part-time job while completing your degree is no easy feat. You've got plenty of assignments on your plate, so a job search is likely making your eyes roll. Want some help? Join Monster today. As a member, you can upload up to five versions of your cover letter and resume—each tailored to different types of jobs that interest you. Recruiters search Monster every day looking to fill top jobs with qualified candidates, just like you. Additionally, you can get job alerts sent to your inbox as soon as positions become available. Sadly, we can't help you with finals—that's all you.
When it comes to working as a part-time teacher or tutor, the options are endless. You can work at a nonprofit after-school program, tutor for a family near campus, or sign up for one of the new gig economy tutoring/teaching sites like Chegg Tutors, TakeLessons, Maestro, StudySoup, and Skillshare. The pay is usually high and the hours are often flexible.
I also recommend FlexJobs for finding more home data entry jobs. With that site, you can regularly search legitimate work at home jobs for data entry and other industries. Every job lead is guaranteed scam-free, and it's the only membership-based jobs site I currently use and trust. Their listings are updated 5-6 times per week, and they are plentiful. You can currently get 30% off a subscription using promo code AFFILPROMO.

These little jobs are done by people who log on to a company’s site and choose tasks, which could be as simple as clicking a link. Amazon's Mechanical Turk is one of the most well-known sites of this type. Also, there are crowdsourcing projects, which are similar to data entry, where companies engage an army of virtual workers to each do one small part of a larger project.
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