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Quality Assurance Data Annotation Jobs in Austin, TX

Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

AI Finance Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Quality Assurance * Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Our team consists of cutting-edge technologists, data hounds, and aspiring entrepreneurs. We are ... Experience creating QA Framework/Procedures that allow you to own the testing cycle for product ...

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Quality Assurance Data Annotation information

See Austin, TX salary details

$15

$44

$63

How much do quality assurance data annotation jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for quality assurance data annotation in Austin, TX is $44.48, according to ZipRecruiter salary data. Most workers in this role earn between $36.20 and $54.09 per hour, depending on experience, location, and employer.

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For Quality Assurance Data Annotation jobs in Austin, TX, the most frequently searched job titles are:

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The top searched job categories for Quality Assurance Data Annotation jobs in Austin, TX are:

What cities near Austin, TX are hiring for Quality Assurance Data Annotation jobs?

Cities near Austin, TX with the most Quality Assurance Data Annotation job openings:

Infographic showing various Quality Assurance Data Annotation job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $92,517 per year, or $44.5 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Austin, TX • Remote

$100 - $200/hr

Part-time

Posted 23 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.