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Remote Freelance Data Analyst (Python) - AI Trainer

at Mindrift

Posted 3 days ago 0 applied

Description:

  • Mindrift is a 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' ability 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 responses, correcting model responses using domain-specific knowledge, and ensuring taxonomies are logical and aligned with operational needs.
  • The position is freelance, remote, and allows for flexible scheduling, enabling contributors to work on projects that align with their skills.

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 essential.
  • Candidates should have experience in interpreting data visualization and reporting, including 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.

Benefits:

  • This freelance opportunity allows for part-time, remote work that fits around other professional or academic commitments.
  • Participants will work on advanced AI projects, gaining valuable experience that enhances their portfolio.
  • Contributors will have the chance to influence how future AI models understand and communicate within their field of expertise.