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- Tasks: Collaborate on AI projects, refine model responses, and ensure data accuracy.
- Company: Mindrift connects specialists with major tech innovators to shape the future of AI.
- Benefits: Enjoy remote work flexibility, enhance your portfolio, and influence AI understanding in your field.
- Why this job: Work on cutting-edge AI projects while balancing your studies or other commitments.
- Qualifications: Bachelor's degree in a relevant field and 3 years of data analysis experience required.
- Other info: Fully remote role; just bring your laptop and enthusiasm!
The predicted salary is between 57330 - 69942 £ per year.
At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
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.
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Data Analysis, you will have the opportunity to collaborate on these projects.
Although every project is unique, you might typically:
- Triple-check some delivery data and ensure client expectations are reflected in every batch
- Generate prompts that challenge AI
- Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers
- Correct the model's responses based on your domain-specific knowledge
- Ensure taxonomies are logical, consistent, and aligned with operational needs
Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you will help shape the future of AI while ensuring technology benefits everyone.
Requirements
- You have a Bachelor's degree in Statistics, Computer Science, Information Systems, Data Science, Mathematics
- You have at least 3 years of professional experience in Data Analysis
- You have experience with prompt engineering (basic to intermediate level) and have Basic-to-Intermediate Python Scripting and SQL understanding
- You are proficient in spreadsheet tools such as Google Sheets, Excel
- You have experience with interpreting data visualization & reporting (e.g., dashboards)
- You have a strong command of taxonomy and classification design
- Your level of English is advanced (C1) or above
- You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.
Benefits
Why this freelance opportunity might be a great fit for you?
- Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
- Work on advanced AI projects and gain valuable experience that enhances your portfolio
- Influence how future AI models understand and communicate in your field of expertise
Freelance Data Analyst (Python) - AI Trainer employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Data Analyst (Python) - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data analysis. Understanding how Generative AI works and its applications will not only help you during interviews but also show your genuine interest in the role.
✨Tip Number 2
Network with professionals in the AI and data analysis fields. Join relevant online communities or forums where you can engage with others, share insights, and potentially get referrals that could boost your chances of landing the job.
✨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 capability to meet the job requirements.
✨Tip Number 4
Showcase your ability to adapt and learn quickly. Highlight any experiences where you've successfully switched between tasks or tackled complex guidelines, as this aligns well with the expectations for this freelance role.
We think you need these skills to ace Freelance Data Analyst (Python) - AI Trainer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, Python scripting, and prompt engineering. Use specific examples that demonstrate your skills and how they relate to the role of an AI Trainer.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience and how you can contribute to Mindrift's mission of shaping the future of AI.
Showcase Your Technical Skills: Include a section in your application that outlines your proficiency in tools like Google Sheets, Excel, and any data visualisation software. Highlight your understanding of taxonomies and classification design.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at Mindrift
✨Showcase Your Data Analysis Skills
Be prepared to discuss your previous experience in data analysis. Highlight specific projects where you used Python and SQL, and be ready to explain your thought process and the impact of your work.
✨Understand Prompt Engineering
Since the role involves prompt engineering, brush up on your knowledge in this area. Be ready to discuss how you would create effective prompts for AI models and provide examples of challenges you've faced in this context.
✨Demonstrate Your Taxonomy Knowledge
The job requires a strong command of taxonomy and classification design. Prepare to discuss your understanding of these concepts and how you've applied them in past roles, especially in relation to data organisation.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about how you would handle complex guidelines or unexpected data issues, and be ready to articulate your approach clearly.
