AI Tutor - Native Kiswahili

Overview

Alignerr.com is a community of subject matter experts dedicated to training AI models by creating high-quality data in various fields to enhance the future of Generative AI. The company operates under Labelbox, a leading data-centric AI platform that enables teams to effectively build intelligent applications. Customers include major enterprises like Walmart, Procter & Gamble, Genentech, and Adobe.

About the Role

Shape the future of AI in Kiswahili! This innovative role offers a unique chance to leverage your subject-matter expertise while enhancing your AI skills. You will be responsible for training AI models, ensuring the accuracy and relevance of Kiswahili content generated by AI. This position provides flexible scheduling, allowing you to make significant contributions towards the advancement of AI in Kiswahili.

Main Duties

• Evaluate AI-generated writing based on rubrics assessing factuality, completeness, brevity, and grammatical correctness.

• Review the work of other human writers.

• Produce top-tier original content in response to prompts.

• Determine your own working hours depending on project length.

Requirements

• Enrolled in or have completed an Associate’s degree or higher from an accredited institution.

• Native-level proficiency in Kiswahili.

• Strong writing style with excellent English-language spelling and grammar skills.

• A critical eye with the ability to clearly articulate the strengths and weaknesses of written text.

• Professional writing experience as a researcher, journalist, technical writer, editor, or in similar roles.

• Interest in AI and machine learning concepts.

Important Information

• This is a freelance position compensated on an hourly basis. It is not an internship opportunity.

• Candidates must be authorized to work in their country of residence. Sponsorship for this 1099 contract role is not available.

• Compensation rates may vary for non-US locations.

Pay Range (rate per hour): $15—$150 USD

This role is designed for a remote-friendly hybrid model, promoting collaboration within dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We focus on asynchronous communication, autonomy, and ownership of tasks.

Your Personal Data Privacy

Any personal information you provide will be processed in accordance with Labelbox’s Job Applicant Privacy notice. If you receive emails from Labelbox team members, they will originate from a @labelbox.com email address. Please exercise caution and reach out to us at recruiting@labelbox.com for verification if you have any doubts about the legitimacy of communications.