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Machine Learning Freelancer Part 3 - How To Find Good Machine Learning Jobs

January 7, 2018
by
Machine Learning with Phil
YouTube video player
Machine Learning Freelancer Part 3 - How To Find Good Machine Learning Jobs

TL;DR

Learn how to effectively filter and select freelance jobs by looking for descriptive titles, relevant skillsets, verified payment methods, and positive client ratings.

Transcript

welcome back everybody took part three and our freelancing and machine learning and data science in 2018 series in parts one and two we talked about what platforms to use we went over my profile and showed how much it sucked yet how well I was doing with it and in part three we're gonna talk about how to look for jobs and how to screen out bad clie... Read More

Key Insights

  • 🥺 Applying for every job as a freelancer is not ideal and can lead to overload and dissatisfaction.
  • 😨 Descriptive job titles and postings indicate clients who put effort and care into their projects.
  • 🎚️ Verified payment methods provide a level of security for freelancers.
  • 👋 Positive client ratings are a good indication of a client's reliability and professionalism.
  • 🖤 Lack of feedback from clients can negatively impact a freelancer's reputation and job success score.
  • 🥺 Incomplete job descriptions may lead to misunderstandings and miscommunication.
  • 👋 Jobs outside of a freelancer's expertise or in highly volatile industries may not be a good fit.

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Questions & Answers

Q: Why is it a mistake to apply for every job as a freelancer?

Applying for every job doesn't allow you to focus on jobs that align with your skillset, and you may end up overloading yourself with work that you're not suited for or interested in.

Q: What are some screening techniques to find good clients?

Look for clients with descriptive job titles and postings that demonstrate intelligence and attention to detail. Additionally, check for relevant skillsets, verified payment methods, and positive client ratings.

Q: Why is it important for clients to provide feedback to freelancers?

Feedback helps freelancers build their reputation and job success score. Clients who consistently do not provide feedback may be difficult to work with or unreliable.

Q: What are red flags to watch out for when screening clients?

Red flags include clients with low ratings, incomplete job descriptions, missing feedback, and unverified payment methods. These can indicate potential issues with payment, collaboration, or professionalism.

Summary & Key Takeaways

  • Freelancers should not apply for every job that comes their way, but instead focus on finding the right fit for their skillset.

  • Screening potential clients is important, and factors such as descriptive titles, relevant skillsets, verified payment methods, and positive client ratings should be considered.

  • Red flags to watch out for include clients with low ratings, incomplete job descriptions, missing feedback, and unverified payment methods.


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