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AI Training for Igbo Writers

Remotasks

Remote - Nigeria (Remote (Growth only)) Remote permanent

Posted: January 13, 2026

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Quick Summary

Work as an AI Training for Igbo Writers, helping to train generative AI models to become better writers, with flexible hours and remote work options.

Job Description

FOR IGBO 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 Igbo 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:

• Base Pay Rate: up to $17 per hour

• Location: Remote (Globally) - please note that hourly rates vary by country

• PREFERRED: In United States

• Duration: Variable depending on project length, flexible hours

This opportunity involves contracting for a Scale affiliate: 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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