At a Glance
- Tasks: Design and develop data science problems for AI projects using Python and SQL.
- Company: Join Mindrift, a leader in shaping the future of AI with collective intelligence.
- Benefits: Earn up to $55/hour, work remotely, and enhance your portfolio with advanced AI projects.
- Other info: Fully remote role; just bring your laptop, internet, and enthusiasm!
- Why this job: Make a real impact on AI while working flexibly around your studies or other commitments.
- Qualifications: Master’s or PhD in a quantitative field and 5+ years of data science experience.
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.
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 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 a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically:
- Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare).
- Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
- Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility.
- Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
- Incorporate big data processing scenarios requiring scalable computational approaches.
- Verify solutions using Python with standard data science libraries and statistical methods.
- Document problem statements clearly with realistic business contexts and provide verified correct answers.
How to get started: 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’ll help shape the future of AI while ensuring technology benefits everyone.
You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field. You have at least 5 years of hands-on data science experience with proven business impact. You have a portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with a deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have a good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). 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.
Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. 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.
Remote Freelance Data Scientist (Python & SQL) - AI Trainer employer: Mindrift
Mindrift is an excellent employer for those seeking a flexible and rewarding role in the innovative field of AI mortgage underwriting. With competitive compensation and a focus on part-time project-based work, employees benefit from a supportive work culture that values expertise and encourages professional growth. Located in Edinburgh, Mindrift offers a unique opportunity to contribute to cutting-edge technology while maintaining a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Freelance Data Scientist (Python & SQL) - AI Trainer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for freelance opportunities. You never know who might have a lead or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your portfolio! Make sure to have a well-organised portfolio that highlights your best projects. When you apply through our website, include links to your work so potential clients can see your expertise in action.
✨Tip Number 3
Tailor your pitch! When applying for roles, customise your approach based on the specific project requirements. Highlight your relevant experience with Python, SQL, and any GenAI technologies to make your application stand out.
✨Tip Number 4
Stay proactive! Keep an eye on our website for new opportunities and don’t hesitate to follow up on applications. A little persistence can go a long way in landing that dream freelance gig!
We think you need these skills to ace Remote Freelance Data Scientist (Python & SQL) - AI Trainer
Some tips for your application 🫡
Tailor Your Resume:Make sure your resume is tailored to highlight your experience in data science, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Show Off Your English Skills:Since we need your resume in English, ensure it’s clear and professional. If you’re confident in your English proficiency, let us know! A quick note on your level can make a difference.
Highlight Real-World Impact:We love seeing how your work has made a difference in real-world scenarios. Include examples of projects where you’ve solved complex problems or contributed to significant outcomes in your field.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and keep everything organised. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Mindrift
✨Know Your Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects you've worked on, especially those that involved complex data science problems. Highlight your experience with libraries like pandas and scikit-learn, as well as any GenAI technologies you've used.
✨Showcase Your Portfolio
Prepare to present your portfolio of completed projects. Choose examples that demonstrate your problem-solving abilities and the impact of your work. Be ready to explain the challenges you faced and how you overcame them, particularly in relation to real-world business problems.
✨Understand the Role
Familiarise yourself with the responsibilities of a Data Science AI Trainer. Think about how you can contribute to designing computational problems and ensuring they are relevant to various industries. Show enthusiasm for the role and be prepared to discuss how your skills align with their mission to shape the future of AI.
✨Communicate Clearly
Since the role requires advanced English proficiency, practice articulating your thoughts clearly and concisely. Be prepared to explain complex concepts in a way that's easy to understand. This will not only showcase your communication skills but also your ability to convey technical information effectively.
