Crossing Hurdles
Data Analyst | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position offering an hourly contract of $80–$120, remote work, and part-time commitment (15–25 hours/week). Key skills include data science, machine learning, Python, SQL, and experience with ML model deployment.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
960
-
🗓️ - Date
January 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#ML (Machine Learning) #TensorFlow #Data Science #Java #Data Wrangling #Datasets #Data Analysis #Statistics #AI (Artificial Intelligence) #SQL (Structured Query Language) #Computer Science #Python #PyTorch #R #Scala #Mathematics
Role description
Position: Data Science Expert
Type: Hourly contract
Compensation: $80–$120/hour
Location: Remote
Commitment: Part-time, project-based (15–25 hours/week, flexible up to 40 hours)
Role Responsibilities
• Review and refine AI-generated prompts, responses, and code
• Validate technical concepts for accuracy and correctness
• Provide structured feedback on solution quality, clarity, and approach
• Tag and organize content by topic and difficulty level
• Support benchmarking efforts to assess AI model capabilities
Requirements
• Strong experience in data science, machine learning, or applied statistics
• Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field (Bachelor’s minimum; advanced degree preferred)
• Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus
• Hands-on experience building and deploying ML models using frameworks such as scikit-learn, TensorFlow, or PyTorch
• Experience with statistical analysis, data wrangling, and feature engineering on large datasets
Application Process (Takes ~20 minutes)
• Upload resume
• Interview (15 mins)
• Submit form
Position: Data Science Expert
Type: Hourly contract
Compensation: $80–$120/hour
Location: Remote
Commitment: Part-time, project-based (15–25 hours/week, flexible up to 40 hours)
Role Responsibilities
• Review and refine AI-generated prompts, responses, and code
• Validate technical concepts for accuracy and correctness
• Provide structured feedback on solution quality, clarity, and approach
• Tag and organize content by topic and difficulty level
• Support benchmarking efforts to assess AI model capabilities
Requirements
• Strong experience in data science, machine learning, or applied statistics
• Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field (Bachelor’s minimum; advanced degree preferred)
• Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus
• Hands-on experience building and deploying ML models using frameworks such as scikit-learn, TensorFlow, or PyTorch
• Experience with statistical analysis, data wrangling, and feature engineering on large datasets
Application Process (Takes ~20 minutes)
• Upload resume
• Interview (15 mins)
• Submit form
