Dione: Multimodal Prompt Evaluation

We are inviting students and recent graduates to participate in an exciting pilot project focused on the development and evaluation of Multimodal Prompts for Large Language Models (LLMs). This project aims to assess how well AI can handle multiple input formats, such as text and images across different academic and creative use cases.


What You’ll Do:
Depending on your academic background, you may be assigned tasks in one or more of the following categories:


STEM Tasks – Review or revise AI-generated answers for science, math, and engineering questions.
Non-STEM Tasks – Engage in literature-based evaluation and creative assessments.
Multimodal Tasks – Work with prompts that combine text and visual inputs such as images, PDFs, or handwriting for image classification, translation, and more.


Eligibility Criteria:
-Age: 18–24 years
-Education: Currently enrolled (12th pass) or recently graduated
-Academic Background:

STEM (including Computer Science): 40–45%
Non-STEM: 40%
CS-specific: 15–20%


-Location & Language:

(English – US/India)
(Latin America – Spanish)

-Device Access:
Must have both a desktop (Windows/macOS) and a mobile device (Android or iOS)

-GPA or academic proof (minimum 60% and above) is required to ensure a balanced performance profile across both top-tier and average performers.


Important Notes:

-Tasks are assigned on a first-come, first-served basis and accessed through a workflow tool.
-Members must be able to read and follow guidelines independently.
-Access to the client’s tool and training will be provided.
-Tasks may vary in complexity and will depend on your eligibility and academic background.


If you're a student or recent graduate with an interest in AI, education, or content evaluation and you meet the criteria, apply now to join the Dione Project!