Entry Level Ai Ethics information
See salary details
$12.98 - $13.81
3% of jobs
$13.81 - $14.64
10% of jobs
$14.64 - $15.47
10% of jobs
$15.62 is the 25th percentile. Wages below this are outliers.
$15.47 - $16.30
15% of jobs
The median wage is $16.78 / hr.
$16.30 - $17.13
22% of jobs
$17.94 is the 75th percentile. Wages above this are outliers.
$17.13 - $17.96
16% of jobs
$17.96 - $18.79
15% of jobs
$18.79 - $19.62
5% of jobs
$19.62 - $20.45
1% of jobs
$20.45 - $21.28
2% of jobs
$21.28 - $22.12
1% of jobs
How much do entry level ai ethics jobs pay per hour?
As of Aug 16, 2026, the average hourly pay for entry level ai ethics in the United States is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.03 per hour, depending on experience, location, and employer.
Entry-level AI ethics jobs are positions designed for individuals at the beginning of their careers who want to work on the ethical challenges of artificial intelligence systems. These roles often involve tasks such as reviewing algorithms for bias, helping develop ethical guidelines, conducting research on the societal impacts of AI, and assisting in compliance or policy work. Entry-level professionals in AI ethics typically collaborate with data scientists, engineers, and legal teams to ensure AI technologies are fair, transparent, and accountable. A background in philosophy, computer science, law, or related fields is often helpful, along with an interest in the social impacts of technology.
To thrive as an Entry Level AI Ethics professional, you need a foundational understanding of ethical theories, data privacy principles, and AI fundamentals, often backed by a degree in computer science, philosophy, or a related field. Familiarity with data analysis tools, AI frameworks, and relevant regulations such as GDPR or IEEE standards is typically required. Strong analytical thinking, clear communication, and a collaborative mindset help you navigate complex ethical dilemmas and work effectively with technical teams. These skills are crucial for ensuring responsible AI development and fostering trust in emerging technologies.
Entry-level professionals in AI ethics often encounter challenges such as keeping up with rapid technological advancements, understanding complex regulatory requirements, and balancing ethical considerations with business objectives. Navigating these challenges requires staying updated on emerging AI trends, engaging in continuous learning, and collaborating closely with cross-functional teams like data science, legal, and product development. Building strong communication skills and seeking mentorship within the organization can also help new professionals effectively contribute to discussions and decision-making around ethical AI practices.
Entry level AI ethics roles are increasingly in demand as organizations seek to develop responsible AI systems. These positions often require knowledge of AI concepts, ethical frameworks, and sometimes certifications in AI or ethics, reflecting growing industry emphasis on ethical AI development.
To become an entry-level AI ethics professional, candidates typically need a bachelor's degree in fields like computer science, philosophy, or related areas, along with knowledge of AI technologies and ethical principles. Gaining familiarity with machine learning, data privacy, and bias mitigation through online courses or certifications can be beneficial. Strong analytical skills and understanding of societal impacts of AI are also important for entry-level roles in AI ethics.
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