Data Scientist (Python & SQL) – Freelance AI Trainer

Data Scientist (Python & SQL) – Freelance AI Trainer

Company: Mindrift Location: Remote (Romania) Contract: Freelance Salary: Up to $58 per hour equivalent

Mindrift connects experienced specialists with project-based Artificial Intelligence (AI) opportunities at leading tech companies. Our focus is on testing, evaluating, and improving AI systems. Please note that participation is project-based and not a permanent employment arrangement.

About the Opportunity

This role involves contributing to AI development by designing and creating computational data science problems that simulate real-world analytical workflows. You will work on projects across various industries, including telecom, finance, government, e-commerce, and healthcare.

Key Responsibilities

• Design original computational data science problems requiring Python programming (using libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn).
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes.
• Develop problems that require complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
• Create deterministic problems with reproducible answers, avoiding stochastic elements or requiring fixed random seeds for exact reproducibility.
• Base problems on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
• Design end-to-end problems covering the complete data science pipeline, from data ingestion to deployment considerations.
• Incorporate big data processing scenarios that necessitate scalable computational approaches.
• Verify solutions using Python with standard data science libraries and statistical methods.
• Clearly document problem statements with realistic business contexts and provide verified correct answers.

Requirements

This opportunity is ideal for Data Science specialists with Python experience who are open to part-time, non-permanent projects. Ideally, you will have:

• 5+ years of hands-on data science experience with proven business impact.
• A portfolio of completed projects and publications showcasing real-world problem-solving.
• Expert Python programming skills for data science (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels).
• Expert statistical analysis and machine learning knowledge, including a deep understanding of algorithms, methods, and their practical applications.
• Expertise with SQL and database operations for data manipulation and analysis.
• Experience with Generative AI (GenAI) technologies, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Understanding of MLOps practices and model deployment workflows.
• Knowledge of modern frameworks like TensorFlow, PyTorch, and LangChain.
• Strong written English proficiency (C1+).

How it Works

1. Apply: Submit your CV in English, indicating your English proficiency level.
2. Qualify: Pass any required qualification assessments.
3. Engage: Join a project and complete assigned tasks.
4. Get Paid: Receive compensation based on your contribution.

Project Time & Compensation

• Estimated Time: Tasks for this project are estimated to require approximately 10–20 hours per week during active phases. This is an estimate and not a guaranteed workload.
• Compensation: Earn up to $58 per hour equivalent, depending on your experience level and contribution pace. Compensation may vary across different projects on the platform based on scope, complexity, and required expertise.