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Internship Ai Evaluator Jobs (NOW HIRING)

Apple Inc.

$150 - $225/hr

Cupertino, California, United States Machine Learning and AI Join the team building the evaluation ... Experience with large language models (LLMs), multimodal AI, or generative AI through internships ...

SAP

SAP iXp Intern - Full-Stack AI Developer

Palo Alto, CA · On-site

$22 - $29/hr

This is more than an internship, it's the foundation for a career built on connection, creativity ... Participate in code reviews, debugging, testing, and AI evaluation to ensure high-quality ...

SAP

SAP iXp Intern - Full-Stack AI Developer

Palo Alto, CA · On-site +1

$22.75 - $29.75/hr

This is more than an internship, it's the foundation for a career built on connection, creativity ... Participate in code reviews, debugging, testing, and AI evaluation to ensure high-quality ...

SAP

$22.75 - $29.75/hr

This is more than an internship, it's the foundation for a career built on connection, creativity ... Participate in code reviews, debugging, testing, and AI evaluation to ensure high-quality ...

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$65.5K

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How much do internship ai evaluator jobs pay per year?

As of Sep 4, 2026, the average yearly pay for internship ai evaluator in the United States is $65,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $79,500.00 per year, depending on experience, location, and employer.

What is an internship AI evaluator?

Internship AI Evaluators are interns who assess, test, and provide feedback on artificial intelligence models and systems. Their role typically involves evaluating the accuracy, fairness, and effectiveness of AI outputs, often by comparing responses or identifying errors. These interns may also help improve AI algorithms by labeling data, analyzing model results, and suggesting enhancements. The position is ideal for those interested in technology, data science, or machine learning, and it provides hands-on experience with cutting-edge AI tools.

What does an internship AI evaluator do?

As an AI Evaluator intern, you'll often work on tasks such as assessing the accuracy and quality of AI-generated content, annotating data sets, and providing feedback to improve machine learning models. You'll collaborate with data scientists, engineers, and other evaluators to ensure AI outputs meet quality standards. This hands-on experience offers insight into the AI development process and helps you build skills that are valuable for future roles in AI and machine learning.

What are the key skills and qualifications needed to thrive as an internship AI evaluator?

To thrive as an Internship AI Evaluator, you need a solid understanding of artificial intelligence concepts, analytical thinking, and attention to detail, often supported by coursework or a degree in computer science or a related field. Familiarity with data annotation tools, AI evaluation platforms, and sometimes basic programming (e.g., Python) is typically required. Strong communication, critical thinking, and the ability to give constructive feedback are vital soft skills for this position. These skills and qualifications are essential to accurately assess AI outputs, contribute to model improvements, and ensure the reliability and fairness of AI systems.

What is the difference between Internship Ai Evaluator vs Internship Data Annotator?

AspectInternship Ai EvaluatorInternship Data Annotator
Required CredentialsBasic understanding of AI concepts, possibly some coursework in data science or machine learningBasic data labeling skills, attention to detail, sometimes familiarity with annotation tools
Work EnvironmentRemote or on-site, working with AI models and datasetsRemote or on-site, focusing on data labeling tasks
Employer & Industry UsageTech companies, AI startups, research institutionsTech companies, data service providers, AI development firms

The Internship Ai Evaluator typically involves assessing AI outputs, understanding machine learning concepts, and providing feedback to improve AI models. In contrast, the Internship Data Annotator focuses on labeling and preparing data for training AI systems. Both roles are entry-level, require attention to detail, and are common in AI and data-driven industries, but they differ in their specific tasks and focus areas.

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Internship Ai Evaluator jobs near you
Infographic showing various Internship Ai Evaluator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $65,471 per year, or $31.5 per hour.

Clinical AI Evaluation Intern

Qualified Health

Palo Alto, CA • On-site

$40/hr

Full-time

Posted 6 days ago

Job description

Transform healthcare with us.
At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring-working alongside leading health systems to drive real change.
This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.
Join us in shaping the future of healthcare.
Job Summary:
Qualified Health is seeking a Medical Scribe Intern to join the clinical team responsible for reviewing, evaluating, and labeling the outputs of our GenAI products. Working alongside our physicians, you will compare AI-generated clinical content against defined gold standards, and label the data that trains and evaluates our models.
The ideal candidate has worked as a medical scribe, or brings comparable clinical education or professional experience, and is fluent in medical terminology and clinical documentation. This is a paid, hourly internship. The work is structured and detail-intensive, and the quality of our product depends on it being done carefully. You will be trained and mentored directly by our physicians, who bring their clinical perspective to building products. Our physicians will review your work and give you direct feedback on it, and your input will shape how this function is built as it grows.
This role is not patient-facing and does not accrue clinical contact hours. What it offers instead is a close look at how clinical AI is evaluated for safety before it reaches patient care. It is a chance to learn how these tools are tested and improved, and to see firsthand how they are starting to change the way care is delivered.
Key Responsibilities:
  • Complete structured quality assurance, evaluation, and labeling tasks on GenAI outputs, following detailed written task instructions
  • Review AI-generated clinical content for accuracy, completeness, and adherence to defined criteria, documenting your reasoning clearly and consistently
  • Apply consistent judgment across a high volume of work without drifting from the rubric
  • Bring questions and blockers to the physician overseeing the work as they come up
  • Handle protected health information in accordance with HIPAA and our clinical safety and privacy standards

Required Qualifications:
  • 3+ months of experience as a medical scribe, or comparable medical educational or professional experience (for example: nursing, PA, or pre-med student; EMT, CNA, or medical assistant)
  • Working fluency in medical terminology and clinical documentation, and an understanding of how care is recorded in the chart
  • Exceptional attention to detail, and the ability to explain your reasoning clearly in writing
  • Reliable, consistent availability of 20-40 hours per week (full time preferred) across a 6 month commitment
  • Able to work onsite in Palo Alto 3 days/week

Desirable Skills and Experience:
  • Familiarity with EHR systems (Epic, Cerner) and clinical documentation workflows
  • Experience with chart abstraction, data labeling or annotation, quality improvement, or clinical research
  • Interest in AI/ML in healthcare and in how clinical AI is evaluated for safety and accuracy

Why Join Qualified Health?
You will be mentored by our physicians, who bring their clinical training to building products that change how care is delivered. You will sit with the clinical team, your findings will influence what ships, and there is opportunity to extend beyond the initial 6 months. Our physicians are glad to write letters of recommendation for interns they've worked closely with.
This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product, and we are backed by premier investors.
Our employees are integral to achieving our goals, so we are proud to offer competitive pay, flexible working hours, hybrid work options, and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Details:
This is a paid, hourly internship beginning in September 2026, at $40.00 per hour. The role runs for 6 months at 20-40 hours per week, with full time preferred, and may be extended based on performance and team needs.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

Apply