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Internship Meta Analysis Jobs (NOW HIRING)

Meta

Fundamental AI Researcher - FAIR

Seattle, WA

$154K/yr

Meta is seeking a researcher to join the Fundamental AI Research (FAIR) team, a research ... Experience in analyzing and collecting data from various sources Preferred Qualifications:

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How much do internship meta analysis jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for internship meta analysis 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.

What are the key skills and qualifications needed to thrive as an Internship Meta Analyst, and why are they important?

To thrive as an Internship Meta Analyst, you need strong analytical skills, a background in statistics or social sciences, and familiarity with research methodologies, often supported by progress toward or completion of a relevant degree. Proficiency in statistical software such as SPSS, R, or Python, and experience with literature databases and data visualization tools, is typically expected. Attention to detail, critical thinking, and effective communication are important soft skills for synthesizing research findings and presenting conclusions clearly. These skills ensure accurate data interpretation, reliable synthesis of evidence, and meaningful contributions to research projects.

What types of projects or tasks can I expect to work on during an Internship in Meta-Analysis?

During an Internship in Meta-Analysis, you can expect to assist with tasks such as systematic literature searches, data extraction from published studies, and statistical analysis using specialized software like RevMan or R. Interns often collaborate closely with senior researchers to ensure proper study selection criteria and to interpret the results accurately. You may also contribute to preparing reports or presentations summarizing the findings. This hands-on experience provides valuable insight into both the analytical and collaborative aspects of evidence-based research.

What is an Internship Meta Analysis?

An Internship Meta Analysis is a systematic review and statistical analysis of multiple studies or data sets related to internships. The goal is to aggregate findings from various sources to identify overall trends, effectiveness, and outcomes associated with internship programs. This type of analysis helps educators, employers, and policymakers understand what factors contribute to successful internships and make evidence-based decisions. It involves collecting data from published research, evaluating the quality of studies, and synthesizing results to draw comprehensive conclusions.

What is the difference between Internship Meta Analysis vs Data Analyst?

AspectInternship Meta AnalysisData Analyst
Required CredentialsTypically pursuing or recent graduate, some knowledge of research methodsBachelor's degree in related field, some technical skills
Work EnvironmentResearch projects, academic or healthcare settingsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUniversities, research institutions, healthcare organizationsCorporations, consulting firms, government agencies
Search & Comparison IntentUnderstanding research-focused roles, entry-level research opportunitiesAnalyzing data, reporting, decision-making roles

Internship Meta Analysis involves reviewing multiple research studies to synthesize findings, often in academic or healthcare settings. Data Analysts interpret data sets to inform business decisions across various industries. While both roles require analytical skills, Internship Meta Analysis emphasizes research synthesis, whereas Data Analysts focus on data interpretation and reporting.

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Internship Meta Analysis jobs near you
Infographic showing various Internship Meta Analysis job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 73% Physical, 10% Hybrid, and 17% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Meta

Bellevue, WA • On-site

$7.65K - $12.13K/mo

Internship

Posted 7 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 185 rated software companies

Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Responsibilities
Perform research to advance the science and technology of intelligent machines
• Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
• Analyze and improve efficiency, scalability, and stability of various deployed systems
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
• Publish research results and contribute to research that can be applied to Meta product development
Minimum Qualifications
• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
• Experience with Python, C++, C, Java or other related language
• Experience with deep learning frameworks such as Pytorch or Tensorflow
• Experience building systems based on machine learning, deep learning methods, or natural language processing
Preferred Qualifications
• Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
• Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
• Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
• Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
• Experience working and communicating cross functionally in a team environment
• Experience with training deep neural networks for key NLP tasks
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Intent to return to degree program after the completion of the internship/co-op
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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