At a Glance
- Tasks: Design and develop data science problems for advanced AI projects using Python and SQL.
- Company: Join Mindrift, a leader in ethical AI innovation and collaboration.
- Benefits: Earn up to $55 per hour, work remotely, and enhance your portfolio.
- Other info: Fully remote role, perfect for balancing with studies or other commitments.
- Why this job: Shape the future of AI while working on real-world challenges in a flexible environment.
- Qualifications: Master’s or PhD in a quantitative field with 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.
Compensation: On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
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 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 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? 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 Data Scientist (Python & SQL) - Freelance AI Trainer in Edinburgh employer: Mindrift
At Mindrift, we foster a culture of innovation and collaboration, empowering our freelance Data Science AI Trainers to shape the future of AI while working on cutting-edge projects from the comfort of their own homes. With competitive compensation rates and the flexibility to manage your own schedule, you will have the opportunity to enhance your portfolio and contribute to meaningful advancements in Generative AI. Join us to be part of a dynamic team that values expertise and encourages continuous learning in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Scientist (Python & SQL) - Freelance AI Trainer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists and AI enthusiasts on platforms like LinkedIn or Twitter. Join relevant groups and engage in discussions; you never know who might have a lead on your next gig!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those that align with the role you're after. Highlight your Python and SQL expertise, and make sure to include any real-world problems you've tackled.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in this field. We want to see how you approach complex problems!
✨Tip Number 4
Apply through our website! It’s the easiest way to get noticed. Tailor your application to highlight your experience with GenAI technologies and MLOps practices, and don’t forget to mention your advanced English proficiency!
We think you need these skills to ace Remote Data Scientist (Python & SQL) - Freelance AI Trainer in Edinburgh
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!
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:When detailing your past projects, focus on the real-world impact you’ve made. We love seeing how your work has solved actual problems or improved processes—this is what sets you apart!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensures you’re considered for this exciting opportunity.
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 real-world impact of your work. This is your chance to shine, so make sure you can explain the challenges you faced and how you overcame them.
✨Understand the Role
Familiarise yourself with the specifics of the Data Science AI Trainer role. Think about how you can design computational problems that reflect real business challenges. Be ready to discuss how you would approach creating end-to-end data science problems and what methodologies you would use.
✨Communicate Clearly
Since this 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. Good communication will show that you can effectively collaborate with others on AI projects.
