Machine Learning / Data Science Expert
$70-90
/hr
Data scientists play a critical role in AI training. These roles involve evaluating statistical analysis, assessing data modeling approaches, reviewing visualization choices, and validating predictive modeling. You will help AI understand hypothesis testing, regression, classification, and data-driven decision making. Ideal for data scientists, statisticians, and analytics professionals. Pay: $57-$89/hr.
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Part of: Software Engineering & Coding
27 Jobs
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$6-70
/hr

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$70-100
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Data science evaluation combines statistical rigor with practical analysis skills. You'll review AI-generated analytical approaches and assess whether they're statistically valid, does this regression account for multicollinearity? Is this A/B test properly powered? Does this correlation claim establish causation? Tasks often provide a dataset scenario and ask you to evaluate whether the AI's chosen method (e.g., logistic regression vs. random forest) is appropriate and whether conclusions drawn from the analysis are defensible. SQL query evaluation is common: you'll check for correctness, performance, and whether window functions are used appropriately. Proficiency in Python (pandas, scikit-learn, statsmodels) and SQL is expected.
Strong foundation in statistics, Python (pandas, numpy, scikit-learn), SQL, and data visualization. Experience with A/B testing, regression analysis, and feature engineering is valuable.
Not always. A Bachelor's plus 3+ years of professional data science experience qualifies for many roles. A Master's or PhD in statistics, data science, or a related field qualifies you for the higher-paying ones.
Data science roles focus on statistical analysis, business insights, and data exploration. ML engineering focuses on model training and deployment. Some overlap exists, but data science emphasizes analysis over engineering.
This page is showing 27 listings, sourced from 9 platforms: Mercor (8), Turing (5), Ethos (3), Mindrift (3) and Micro1 (2). The most recent one was picked up 8 days ago. The count moves as platforms post and close roles, so treat it as a snapshot of today rather than a fixed figure.
Most sit between $57 and $89 an hour, with a median of $80, measured across the 21 listings on this page that quote an hourly rate. The highest rate currently posted here is $350 an hour. These are the figures the platforms published, not our estimates, and the rate you are offered depends on how you do in that platform's assessment.
Mercor (8), Turing (5), Ethos (3), Mindrift (3) and Micro1 (2). No single one dominates this category, so it is worth holding accounts on more than one. Most contracts allow you to work through several platforms at the same time.
The roles here fall across 4 areas, led by Data Science (16), Software Engineering (9), STEM (1) and QA Testing (1). The requirements named most often are Python, Data Science, Machine Learning, Statistics and Data Analysis. Each listing spells out its own task type, so read the individual page before applying.
3 of these listings first appeared in the last 30 days, out of 27 live now. We rescrape the source platforms daily, so a page you checked last week will not be the same page today.
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