

Data Scientist (PhD ) $55 – $75/hr ( Remote US )
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (PhD) with 3+ years of experience, focusing on AI training and evaluation. Contract duration is 1-2 months (up to 40 hours/week). Pay rate is $55-$75/hr. Proficiency in Python, SQL, and machine learning is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date discovered
July 6, 2025
🕒 - Project duration
1 to 3 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Data Science #Jupyter #Data Wrangling #A/B Testing #AI (Artificial Intelligence) #ML (Machine Learning) #Pandas #PyTorch #Statistics #Model Evaluation #SQL (Structured Query Language) #Computer Science #TensorFlow #Python #Data Analysis
Role description
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Data Scientist — AI Training & Evaluation
Type: Hourly Contract (Remote)
Rate: $55 –$75/hour (USD)
Start Date: Early to Mid-July
Commitment: 10–20 hours/week (up to 40 possible)
Duration: 1–2 months minimum (with potential extension)
🚨 Important Application Note
Please apply using a desktop or laptop (not mobile).
A ~25-minute screen-sharing task is part of the interview. Make sure your browser has screen-sharing permissions enabled before starting.
Role Overview
This position involves writing, reviewing, and validating prompt-based questions designed to train AI systems. Strong understanding of data science workflows—statistical modeling, machine learning, and experimentation—is key to ensuring high-quality, technically accurate content.
Who Should Apply
• 3+ years of experience in data science or applied analytics
• Bachelor’s degree in data science, statistics, computer science, or a related field
• Proficiency in one or more of the following:
• Exploratory data analysis, statistical inference
• Machine learning workflows and model evaluation
• Feature engineering and data wrangling
• A/B testing, experimentation, causal inference
• Excellent communication skills (verbal and written)
• Strong attention to detail
Preferred Qualifications
• Master’s or PhD in a quantitative discipline
• Hands-on experience with tools like Python, SQL, Jupyter, pandas, scikit-learn, TensorFlow or PyTorch
Work Highlights
• Flexible workload: 10–20 hours per week, with potential to scale up to 40 hours
• Fully remote and asynchronous—work on your schedule
• Initial engagement of 1–2 months, with potential to extend based on performance
Interview Process
1. AI Interview: Brief discussion about your data science background
1. Prompt Task: Screen-sharing session to create an AI training prompt
1. Evaluation Task: Review and compare outputs from large language models
Selection is based on accuracy, clarity, and domain expertise.
Contract & Compensation
• Classified as an hourly contractor
• Weekly payments through Stripe Connect
• Compensation: $55–$75/hour (USD), based on experience