Data Ethics Internship information
See salary details
$12.02 - $14.75
7% of jobs
$17.44 is the 25th percentile. Wages below this are outliers.
$14.75 - $17.48
18% of jobs
$17.48 - $20.21
22% of jobs
The median wage is $20.64 / hr.
$20.21 - $22.95
17% of jobs
$24.59 is the 75th percentile. Wages above this are outliers.
$22.95 - $25.68
18% of jobs
$25.68 - $28.41
8% of jobs
$28.41 - $31.14
5% of jobs
$31.14 - $33.87
1% of jobs
$33.87 - $36.60
0% of jobs
$36.60 - $39.34
2% of jobs
$39.34 - $42.07
1% of jobs
How much do data ethics internship jobs pay per hour?
As of Sep 4, 2026, the average hourly pay for data ethics internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.
A Data Ethics Internship is a temporary position designed for students or recent graduates to gain hands-on experience in the ethical considerations of data collection, analysis, and usage. Interns typically work alongside data scientists, analysts, and compliance teams to ensure that data practices align with legal and ethical standards. Responsibilities may include assessing privacy risks, developing ethical guidelines, and participating in discussions about responsible AI and data governance. This internship is ideal for those interested in the intersection of technology, ethics, and policy.
Data Ethics interns often work on projects related to auditing data collection practices, reviewing algorithmic fairness, and developing guidelines for ethical data use. These projects may include conducting risk assessments, researching regulatory requirements, and collaborating with data scientists to ensure transparency and accountability in data processes. By tackling these tasks, interns play a key role in promoting ethical standards, helping organizations build trust with stakeholders, and ensuring compliance with evolving data privacy laws.
To thrive as a Data Ethics Intern, you need a foundational understanding of data privacy, ethical frameworks, and analytical methods, often supported by coursework in data science, ethics, or law. Familiarity with data governance tools, compliance frameworks (such as GDPR), and basic data analysis software like Excel or Python is beneficial. Strong critical thinking, attention to detail, and clear communication skills help you assess ethical risks and convey complex concepts to stakeholders. These skills are crucial to ensure responsible data use and uphold integrity in data-driven projects.
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