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Data Scientist (Remote | Part-Time | $80 –$120/hr)

Anywhere
part-time
Posted 10/9/2025
Verified Source
Key Skills:
Python
SQL
Machine Learning
scikit-learn
TensorFlow
PyTorch
Statistical Analysis
Feature Engineering
Data Wrangling

Compensation

Salary Range

$166K - 250K a year

Responsibilities

Review and refine AI-generated code and analyses, validate statistical and computational accuracy, provide feedback, categorize datasets, and contribute to benchmarking AI model performance.

Requirements

3+ years in data science or related field, proficiency in Python and SQL, experience with ML frameworks, strong statistical and analytical skills, and excellent communication.

Full Description

Data Science Expert Hourly Contract | Part-time Remote (US) $80 –$120 per hour About the Role A leading AI research initiative is seeking experienced Data Science Experts to support high-impact collaborations focused on advancing the reasoning, accuracy, and reliability of cutting-edge AI systems. In this role, you’ll apply your data science and engineering expertise to evaluate model performance, design algorithmic benchmarks, and improve the technical rigor of AI-generated code and analyses. Your contributions will directly shape how next-generation AI systems reason, code, and learn. Key Responsibilities • Review and refine AI-generated code, prompts, and analytical outputs. • Validate technical concepts for statistical soundness and computational accuracy. • Provide structured feedback on solution quality, logic, and clarity. • Categorize and label datasets, prompts, and models by topic and difficulty. • Contribute to benchmarking and evaluation frameworks for model performance. Ideal Qualifications • 3+ years of experience in data science, machine learning, or applied statistics (industry or research). • Degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field (Bachelor’s minimum; advanced degree preferred). • Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus. • Experience building and deploying ML models using scikit-learn, TensorFlow, or PyTorch. • Skilled in statistical analysis, feature engineering, and data wrangling on large datasets. • Excellent analytical, communication, and documentation skills. Project Timeline • Start Date: Immediate • Duration: 1–2 months (potential for extension) • Commitment: 15–25 hours/week (flexible up to 40 hours/week) • Schedule: Fully remote and asynchronous — work on your own time Compensation & Contract • Rate: $80–$120 USD/hour (based on experience) • Contract Type: Independent contractor • Payments: Daily via Stripe Connect Application & Onboarding Process • Upload your resume or CV. • Complete a short AI-led interview (15 minutes). • Receive onboarding materials and next steps within a few days. ⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡

This job posting was last updated on 10/10/2025

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