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Internship Data Annotation Analyst Jobs in Texas

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

New

Strong understanding of data preparation, data quality, labeling workflows, annotation guidelines, and model evaluation metrics * Practical experience with main data analysis and machine learning ...

Support data annotation and quality validation activities * Maintain accurate operational records ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Overview Welo Data is hiring Croatian-speaking analysts to support our Speech & Voice AI team. You ... Strong written communication and language fundamentals * 1+ year in labeling/annotation/content ...

Data Analyst I

Houston, TX

  • Medical

  • Dental

  • Vision

  • Retirement

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)

Data Analyst I

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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)

Support data annotation and quality validation activities * Maintain accurate operational records ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Data Analyst (Statewide)

Austin, TX · On-site

$4.8K/mo

  • Medical

  • Retirement

  • PTO

... Internship or TWC Apprenticeship will satisfythe minimum qualifications. YOU ARE A GREAT FIT WITH: -Knowledge of statistics and ability to compile and analyze data sets -Working knowledge of UI ...

Showing results 41-60

Internship Data Annotation Analyst information

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 Texas?

The most popular types of Data Annotation Analyst jobs in Texas are:

What cities in Texas are hiring for Internship Data Annotation Analyst jobs?

Cities in Texas with the most Internship Data Annotation Analyst job openings:

AI Software Engineer Expert - Remote

YO AI Labs

Dallas, TX • Remote

$100 - $200/hr

Part-time

Posted 3 days ago

New


Job description

Job Title: AI Software Engineering Domain Remote

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

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.