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Freelance AI Trainer - Data Scientist (Python & SQL)

toloka-aiRemote — Stuttgart, Baden-Württemberg, Germany
Remote Contract $58/hr - $58/hr

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Experience Level

Experience

Qualifications

We are looking for candidates who possess:5+ years of practical experience in data science with demonstrable business impact. A portfolio showcasing completed projects and publications that highlight effective real-world problem-solving. Proficiency in Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Expertise in statistical analysis and machine learning with a deep understanding of algorithms, methodologies, and their practical applications. Strong SQL skills for data manipulation and analysis. Familiarity with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). An understanding of MLOps practices and model deployment workflows. Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Strong written English skills (C1+).

About the job

Please submit your CV in English and specify your English proficiency level.

Mindrift, in partnership with toloka-ai, offers project-based freelance work for experienced data scientists. This role centers on testing, evaluating, and enhancing AI systems for leading technology companies. All assignments are project-based, not permanent employment.

Key Responsibilities

  • Design original data science challenges that reflect analytical work from sectors like telecom, finance, government, e-commerce, and healthcare.
  • Create tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn.
  • Develop problems that require significant computational effort, making manual solutions impractical.
  • Formulate scenarios involving complex data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights.
  • Ensure each challenge is deterministic and reproducible, using fixed random seeds when needed.
  • Base tasks on real business needs, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
  • Build end-to-end challenges covering the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations.
  • Include scenarios that require scalable computational methods for large datasets.
  • Validate solutions in Python using standard data science libraries and statistical techniques.
  • Write clear documentation for each problem, providing business context and verified solutions.

Requirements

  • Minimum 5 years of hands-on data science experience with measurable business outcomes.
  • Portfolio of completed projects or publications showing real-world problem-solving.
  • Advanced Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels).
  • Expertise in statistical analysis and machine learning, with strong knowledge of algorithms and methodologies.
  • Proficient SQL skills for data analysis and manipulation.
  • Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases.
  • Understanding of MLOps and model deployment workflows.
  • Knowledge of frameworks like TensorFlow, PyTorch, and LangChain.
  • Strong written English skills at C1 level or higher.

How to Get Started

  1. Apply
  2. Complete qualification(s)
  3. Join a project
  4. Finish assigned tasks
  5. Receive compensation

Location: Remote , Stuttgart, Baden-Württemberg, Germany

About toloka-ai

At toloka-ai, we specialize in connecting skilled professionals with innovative AI projects at leading tech companies. We are dedicated to enhancing AI systems through evaluation and improvement, fostering a collaborative environment where specialists can thrive in project-based roles.

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