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- Tasks: Collaborate on AI projects, ensuring data accuracy and refining AI responses.
- Company: Mindrift connects specialists with major tech innovators to shape the future of AI.
- Benefits: Enjoy part-time remote work, enhance your portfolio, and influence AI communication.
- Why this job: Be at the forefront of AI innovation while working flexibly around your schedule.
- Qualifications: Bachelor's degree in a relevant field and 3 years of data analysis experience required.
- Other info: Mid-senior level freelance role in IT Services and Consulting.
The predicted salary is between 30000 - 42000 £ per year.
Get AI-powered advice on this job and more exclusive features. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
About The Role
GenAI models are improving rapidly, and one of our goals is to make them capable of addressing specialized questions and complex reasoning. As an AI Tutor in Data Analysis on our platform, you will collaborate on these projects. Typical responsibilities include:
- Triple-check delivery data to ensure client expectations are met
- Generate prompts that challenge AI capabilities
- Define scoring criteria to evaluate AI answer accuracy
- Correct model responses using domain-specific knowledge
- Maintain logical, consistent taxonomies aligned with operational needs
How To Get Started
Apply to this post, qualify, and contribute to projects matching your skills on your schedule. From creating training prompts to refining responses, you will help shape the future of AI and promote equitable technology benefits.
Requirements
- Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, or related fields
- At least 3 years of professional experience in Data Analysis
- Experience with prompt engineering (basic to intermediate), Python scripting, and SQL
- Proficiency with spreadsheet tools like Google Sheets and Excel
- Experience interpreting data visualizations and reporting (dashboards)
- Strong understanding of taxonomy and classification design
- Advanced English skills (C1 or above)
- Willingness to learn new methods, adapt quickly, and work with complex guidelines
- Reliable remote setup: laptop, internet, enthusiasm, and time availability
Benefits
This freelance opportunity offers:
- Part-time, remote work fitting around your commitments
- Experience with cutting-edge AI projects to enhance your portfolio
- Influence on future AI communication in your field
Additional Details
- Seniority level: Mid-Senior level
- Employment type: Part-time
- Job function: Other
- Industries: IT Services and IT Consulting
Freelance Data Analyst (Python) - AI Tutor employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Data Analyst (Python) - AI Tutor
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and data analysis. This will not only help you understand the projects better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the AI and data analysis fields. Join relevant online communities or forums where you can share insights and learn from others. This could lead to valuable connections and even recommendations for freelance opportunities.
✨Tip Number 3
Prepare to discuss your experience with prompt engineering and Python scripting in detail. Be ready to provide examples of how you've used these skills in past projects, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 4
Showcase your ability to adapt and learn quickly by highlighting any recent courses or certifications related to data analysis or AI. This demonstrates your commitment to professional growth and aligns with the role's requirement for a willingness to learn new methods.
We think you need these skills to ace Freelance Data Analyst (Python) - AI Tutor
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, Python scripting, and prompt engineering. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their mission to shape the future of AI and provide specific examples of your past work that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Include a section in your application that details your proficiency with tools like Google Sheets, Excel, and any relevant programming languages. Highlight any projects where you successfully interpreted data visualisations or created dashboards.
Demonstrate Your Adaptability: Since the role requires a willingness to learn new methods and adapt quickly, include examples in your application that showcase your ability to handle complex guidelines and your eagerness to embrace new challenges.
How to prepare for a job interview at Mindrift
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and data analysis tools. Bring examples of past projects where you successfully used these skills, as this will demonstrate your capability to handle the responsibilities of the role.
✨Understand the Role of an AI Tutor
Familiarise yourself with the concept of Generative AI and how it applies to data analysis. Be ready to explain how you can contribute to improving AI models and what strategies you would use to evaluate their performance.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach generating prompts or correcting model responses, and be ready to articulate your thought process clearly.
✨Demonstrate Your Adaptability
Highlight your willingness to learn new methods and adapt to complex guidelines. Share examples from your previous work where you successfully navigated changes or learned new technologies quickly.
