Description:

Mindrift is an innovative platform that connects specialists with AI projects from major tech innovators.
The role involves collaborating on projects aimed at improving GenAI models to address specialized questions and achieve complex reasoning skills.
Typical tasks include triple-checking delivery data to ensure client expectations are met, generating prompts that challenge AI, defining scoring criteria to evaluate AI accuracy, correcting model responses based on domain-specific knowledge, and ensuring logical and consistent taxonomies aligned with operational needs.
Candidates can apply to contribute to projects aligned with their skills on their own schedule, helping to shape the future of AI.

Requirements:

Candidates must have a Bachelor’s degree in Statistics, Computer Science, Information Systems, Data Science, or Mathematics.
A minimum of 3 years of professional experience in Data Analysis is required.
Experience with prompt engineering at a basic to intermediate level is necessary, along with basic-to-intermediate Python scripting and SQL understanding.
Proficiency in spreadsheet tools such as Google Sheets and Excel is essential.
Candidates should have experience interpreting data visualization and reporting, such as dashboards.
A strong command of taxonomy and classification design is required.
An advanced level of English (C1) or above is mandatory.
Candidates must be ready to learn new methods, switch between tasks quickly, and work with complex guidelines.
The role is fully remote, requiring only a laptop, internet connection, available time, and enthusiasm for challenges.

This freelance opportunity allows for part-time, remote work that fits around primary professional or academic commitments.
Participants will work on advanced AI projects, gaining valuable experience that enhances their portfolio.
The role offers the chance to influence how future AI models understand and communicate in the candidate's field of expertise.