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Internship Data Annotation Analyst Jobs in Houston, TX

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation * Problem-Solving * Independent Research

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ... Excellent critical thinking, analytical reasoning, and structured problem-solving abilities.

Bachelor's degree in Business, Finance, Economics, Information Systems, or a related field * 0-2 years of professional experience in a data, analytics, or reporting role (internships and co-ops count)

Bachelor's degree in Business, Finance, Economics, Information Systems, or a related field * 0-2 years of professional experience in a data, analytics, or reporting role (internships and co-ops count)

... internships, research or personal projects is preferred but not required. • Foundational understanding of development data/AI engineering and analysis concepts and technologies, such as object ...

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Internship Data Annotation Analyst information

See Houston, TX salary details

$11

$21

$40

How much do internship data annotation analyst jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for internship data annotation analyst in Houston, TX is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.41 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Annotation Analyst vs Data Labeling Specialist?

AspectInternship Data Annotation AnalystData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant certifications or experience preferred
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation companies
Industry UsageCommon in AI, machine learning, and tech industriesUsed across AI, autonomous vehicles, and healthcare sectors

The Internship Data Annotation Analyst is usually an entry-level role for students or recent graduates gaining experience in data annotation. In contrast, Data Labeling Specialists are more experienced professionals focused on accurately labeling data for AI models. Both roles are essential in AI development, but the internship provides learning opportunities, while the specialist role involves more independent work and expertise.

What are the most commonly searched types of Data Annotation Analyst jobs in Houston, TX?

The most popular types of Data Annotation Analyst jobs in Houston, TX are:

What cities near Houston, TX are hiring for Internship Data Annotation Analyst jobs?

Cities near Houston, TX with the most Internship Data Annotation Analyst job openings:

Infographic showing various Internship Data Annotation Analyst job openings in Houston, TX as of August 2026, with employment types broken down into 60% Internship, 20% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $44,701 per year, or $21.5 per hour.

AI Data Scientist Expert - Remote

Houston, TX • Remote

$100 - $200/hr

Part-time

Posted 15 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.