Data Analyst Job at DataAnnotation, Draper, UT

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  • DataAnnotation
  • Draper, UT

Job Description

Job Description

DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for a proficient Data Analyst to join our team to train our AI chatbots to code. You will work with the chatbots that we are building in order to measure their progress, as well as write and evaluate code.

To apply to this role, you will need to be proficient in either Python and/or JavaScript. However, all of the following programming languages are also relevant: TypeScript, C, C#, C++, HTML/CSS, React, Go, Java, Kotlin, SQL, and Swift in order to solve coding problems (think LeetCode, HackerRank, etc). For each coding problem, you must be able to explain how your solution solves the problem.

Benefits:

  • This is a full-time or part-time REMOTE position
  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly, starting at $40+ USD per hour, with bonuses for high-quality and high-volume work

Responsibilities:

  • Come up with diverse problems and solutions for a coding chatbot
  • Write high-quality answers and code snippets
  • Evaluate code quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Proficient in either Python and/or JavaScript
  • Excellent writing and grammar skills
  • A bachelor's degree (completed or in progress)
  • Previous experience as a Software Developer, Coder, Software Engineer, or Programmer

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Job Tags

Hourly pay, Full time, Part time,

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