🥭 Multimango: A Client Platform for AI Data Annotation

Multimango is a client-side platform utilized by companies like TELUS International (for projects like "Project Sonic") and RWS (for "Project Diamond") to distribute and facilitate work for remote contributors, often in the field of AI data annotation and training. It serves as a workspace where independent contractors or freelancers complete various microtasks designed to improve the performance and safety of Artificial Intelligence models, particularly Large Language Models (LLMs).

The tasks on Multimango generally involve human expertise to evaluate, review, and generate data for AI systems. Examples of work include:

Evaluating and ranking AI-generated responses.

Creating and refining prompts for LLMs.

Image labeling or audio description (depending on the specific project).

Multimango is one of the essential tools for these projects, often used in conjunction with other platforms for time-logging (like FTS for TELUS projects) and payment processing. Its primary function is to deliver the task interface, making it a critical component in the modern AI training pipeline that relies on a global, distributed workforce. The platform's usage is a key indicator of the expanding gig economy focused on advancing AI capabilities.