Mindrift is an innovative platform that connects specialists with AI projects from major tech innovators, aiming to unlock the potential of Generative AI.
The role involves collaborating on projects to improve GenAI models' capabilities in addressing specialized questions and achieving 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 that align with their skills and work 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, along with basic-to-intermediate Python scripting and SQL understanding, is necessary.
Proficiency in spreadsheet tools such as Google Sheets and Excel is required.
Candidates should have experience in interpreting data visualization and reporting, such as dashboards.
A strong command of taxonomy and classification design is essential.
An advanced level of English (C1) or above is required.
Candidates must be ready to learn new methods, switch between tasks and topics quickly, and work with challenging, complex guidelines.
The role is fully remote, requiring only a laptop, internet connection, available time, and enthusiasm for challenges.
Benefits:
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 within the candidate's field of expertise.
