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Internship Text Analytics Jobs (NOW HIRING)

Cox Automotive

Entry Level Data Engineer

Decatur, GA

$67K - $100K/yr

Up to one year of professional, contract, or internship experience in data engineering (new ... Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly ...

Cox Automotive

Entry Level Data Engineer

Decatur, GA

$67K - $100K/yr

Up to one year of professional, contract, or internship experience in data engineering (new ... Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly ...

Cox Automotive

Entry Level Data Engineer

Tucker, GA

$67K - $100K/yr

Up to one year of professional, contract, or internship experience in data engineering (new ... Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly ...

Cox Automotive

Entry Level Data Engineer

Austell, GA

$67K - $100K/yr

Up to one year of professional, contract, or internship experience in data engineering (new ... Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly ...

Cox Automotive

Entry Level Data Engineer

Smyrna, GA

$67K - $100K/yr

Up to one year of professional, contract, or internship experience in data engineering (new ... Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly ...

Cox Automotive

Entry Level Data Engineer

Atlanta, GA

$67K - $100K/yr

Up to one year of professional, contract, or internship experience in data engineering (new ... Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly ...

Cox Automotive

Entry Level Data Engineer

Vinnings, GA

$67K - $100K/yr

Up to one year of professional, contract, or internship experience in data engineering (new ... Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly ...

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Internship Text Analytics information

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How much do internship text analytics jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for internship text analytics in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting results, developing models, and understanding context. Data analysts with skills in programming, statistical analysis, and AI tools are increasingly valuable in this evolving environment.

Is 20 an hour good for an internship?

For an internship in text analytics, $20 an hour is generally considered above average, as many internships pay between $15 and $20 per hour. However, pay can vary based on location, company size, and required skills such as data analysis and natural language processing tools. It's important to consider the experience gained and whether the internship offers additional benefits or training.

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

To thrive as a Text Analytics Intern, you need a solid background in data analysis, natural language processing (NLP), and statistics, often supported by coursework in computer science or a related field. Familiarity with programming languages like Python, machine learning libraries (such as NLTK or spaCy), and data visualization tools is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and share insights clearly with teams. These skills are crucial for extracting meaningful information from text data and supporting data-driven decisions within the organization.

How to get an internship in data analytics?

To secure an internship in data analytics, candidates should develop skills in programming languages like Python or R, gain experience with data visualization tools such as Tableau, and understand statistical concepts. Building a strong resume with relevant coursework, projects, or certifications and applying through company career portals or internship programs increases chances of success.

What is an Internship in Text Analytics?

An Internship in Text Analytics is a temporary position, often taken by students or recent graduates, where individuals gain practical experience working with techniques to extract meaningful information from large volumes of text data. Interns typically learn how to use natural language processing (NLP) tools, analyze textual datasets, and support projects involving sentiment analysis, topic modeling, or information retrieval. These internships provide hands-on exposure to real-world problems, allowing interns to develop their technical skills and understand how text analytics is applied in industries such as marketing, healthcare, or finance.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for students pursuing careers in accounting, finance, and consulting. Interns often gain exposure to real-world projects, develop technical skills, and may have opportunities for full-time employment after graduation.

What is the difference between Internship Text Analytics vs Data Analyst Intern?

AspectInternship Text AnalyticsData Analyst Intern
Required SkillsText processing, NLP basics, data visualizationData analysis, Excel, SQL, basic statistics
Work EnvironmentTech companies, research labs, marketing firmsBusiness, finance, healthcare sectors
Common UsageAnalyzing unstructured text data, sentiment analysisInterpreting structured data, reporting

Internship Text Analytics focuses on analyzing unstructured text data using NLP techniques, while Data Analyst Interns work primarily with structured datasets and statistical tools. Both roles are common in tech and business environments, but they emphasize different data types and skills.

What types of projects can an intern expect to work on in a Text Analytics internship?

As a Text Analytics intern, you can expect to work on projects involving data cleaning, natural language processing, and sentiment analysis. Typical tasks may include extracting insights from large datasets, building or improving machine learning models, and visualizing textual data to support business decisions. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world applications and agile development environments. These projects provide hands-on experience with industry-standard tools and help you develop both technical and communication skills.
More about Internship Text Analytics jobs
What cities are hiring for Internship Text Analytics jobs? Cities with the most Internship Text Analytics job openings:
What are the most commonly searched types of Text Analytics jobs? The most popular types of Text Analytics jobs are:
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Internship Text Analytics jobs near you
Infographic showing various Internship Text Analytics job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Fall Intern: Data Analysis and Education Policy

AEI

Washington, DC • On-site

Other

Posted 19 days ago

Job description

Overview
The education policy team's data intern will support the team's cutting-edge research at the intersection of data, education policy, and technology. The data intern will research a variety of topics, including by:
  • analyzing and drawing meaningful interpretations from state and national education data sets;
  • using statistical modeling to estimate causal effects;
  • using web scraping to construct novel education data sets;
  • applying text analysis, machine learning, and other techniques to analyze unstructured data; and
  • creating visualizations and written reports to communicate results.

Candidates are expected to:
  • be highly interested in learning more about education policy;
  • have keen attention to detail and be highly effective at communication;
  • be highly proficient in Python and/or R.
  • have a strong understanding of statistics;
  • have a foundational understanding of machine learning;
  • be comfortable working independently when given a project; and
  • be able and eager to learn new skills on the job.

Applicants who go above and beyond will:
  • have taken coursework to understand, or have work experience in, education policy; and
  • demonstrate fluency in both Python and R, and potentially other programming languages;
  • have a strong understanding of regression and causal analysis; and
  • have experience applying machine learning and/or natural language processing to unstructured, messy data sets.

The ideal candidate for this position will have a passion for understanding K-12 American education through multiple types of data, have a general STEM background with a foundational understanding of data science, and be driven by open-minded,
intellectual curiosity. Candidates who are able to participate in the program on an in-person basis for 30-40 hours a week are encouraged to apply.
About AEI Internships
AEI internships offer a unique opportunity for undergraduates, graduate students, and recent graduates to gain experience in research, writing, business, and communications at one of the nation's leading think tanks.
Competitive candidates will generally have a GPA of 3.5 or higher from a top-ranking college or university. AEI's internship program runs for 12 weeks and all related programming will take place in-person in Washington, DC. Please see the internship program home page for updates about the program.
The fall program dates are either Tuesday, September 8, to Friday, December 4, or Tuesday, September 15, to Friday, December 11.

Apply