Crossing Hurdles

Data Science Expert – AI Model Evaluation | $90/hr Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Science Expert – AI Model Evaluation, offering $90/hr on a remote, hourly contract for 10–40 hours/week. Key skills include Python, machine learning, and statistical analysis. Strong data science background required; familiarity with large-scale data environments preferred.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
February 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #Datasets #Model Evaluation #Libraries #Model Validation #"ETL (Extract #Transform #Load)" #Data Processing #Data Quality #Visualization #NumPy #Pandas #Python #Data Science
Role description
Position: Data Science Expert Type: Hourly contract Compensation: $50–$90/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities • Analyze large datasets to extract insights that inform AI model design and refinement. • Develop and apply statistical models, machine learning techniques, and evaluation frameworks. • Conduct performance assessments and data quality reviews on AI model outputs. • Build reusable tools for data processing, visualization, and reporting. • Partner with research teams to test hypotheses and scale experimental workflows. • Support data-driven experimentation and continuous model improvement initiatives. Requirements • Strong professional background in data science, machine learning, or related analytical fields. • Proficiency in Python and core data science libraries (e.g., pandas, NumPy, scikit-learn). • Familiarity with large-scale data environments and version-controlled workflows. • Strong understanding of statistical analysis, experimental design, and model validation. • Excellent written communication skills and ability to collaborate across technical teams. • Ability to work independently in a fully remote environment. Application Process (Takes 20 Mins) • Upload resume • Interview (15 min) • Submit form