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Content Writer Cantonese (Hong Kong)

UNLIMITED HOLIDAYS - EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - LONG REMOTE PERIOD ALLOWED

Remote:

Full Remote

Work from:

Offer summary

Qualifications:

Fluency in Cantonese (Hong Kong) writing, Experience in writing professionally, Background in humanities or creative writing.

Key responsabilities:

Work remotely on various writing projects
Train AI models to become better writers
Assess and rank text produced by AI

Outlier AI Startup

11 - 50 Employees

See more Outlier AI offers

Job description

Your missions

FOR Chinese (Hong Kong) WRITING EXPERTS ONLY

Are you interested in helping to train AI models to become better writers? How it works:

We have several open projects where we are looking for talented writers to help train generative artificial intelligence models to become better writers.
You can work on all of our projects remotely. Hours are flexible, so you can work whenever is best for you.
Your earnings from ongoing projects are sent out weekly.

You Will:

Work on various writing in Cantonese (Hong Kong) projects to train generative AI models.
Some examples of projects you might work on:
Rank a series of responses that were produced by an AI model.
Based on a given topic, write a short story about that topic.
Assess whether a piece of text produced by an AI model is factually accurate or not.

Preferred Qualifications:

These are not must-have qualifications! You should apply if you meet any of these (or anything similar you think makes you a good fit).

Professional Translator
Enrollment or completion of an undergraduate program in a humanities field or field related to writing
Enrollment or completion in a graduate program related to creative writing
Experience writing professionally (copywriter, journalist, technical writer, editor, etc.)

Earnings & Duration:

Up to $22.5 per hour
Location: Remote
Duration: Variable depending on project length, flexible hours

This opportunity involves contracting for Smart Ecosystem, Inc.

Base pay is determined by multiple factors, including the area of expertise, years of experience, and skillset needed for the project. Pay rates vary during the project lifecycle. For example, rates for onboarding are lower.

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