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Data Annotation Jobs in Texas (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine ...

Posted today

Apple

AIML Data Operations Team Lead

Austin, TX

As the AIML Data Operations Team Lead, you will focus on leading a team of Annotation Analysts. You will be responsible for the team's operational success, mentoring their career growth, and ...

YO AI Labs

AI Finance Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Data Interpretation * Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred Qualifications * Minimum 3 years of experience in private equity, venture capital ...

Posted today

YO AI Labs

AI Finance Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Data Interpretation * Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred Qualifications * Minimum 3 years of experience in private equity, venture capital ...

Posted today

YO AI Labs

AI Finance Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Data Interpretation * Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred Qualifications * Minimum 3 years of experience in private equity, venture capital ...

Posted today

Arrive Logistics

Data Scientist II

Austin, TX · On-site

... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ... data. • Perform structured analysis of system performance to surface failure modes, data gaps ...

Apple

AIML Data Operations Team Lead

Austin, TX · On-site

As the AIML Data Operations Team Lead, you will focus on leading a team of Annotation Analysts. You will be responsible for the team's operational success, mentoring their career growth, and ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site

$90 - $120/hr

Experience designing data annotation workflows, labeling guidelines, or label quality processes is ... a plus. * Experience with model deployment, monitoring, or production ML workflows is a plus.

Arrive Logistics

Data Scientist II

Austin, TX · On-site

Experience designing data annotation workflows, labeling guidelines, or label quality processes is ... a plus. * Experience with model deployment, monitoring, or production ML workflows is a plus.

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All JobsData Annotation JobsData Annotation Jobs in Texas

Data Annotation information

See Texas salary details

$8

$22

$47

How much do data annotation jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data annotation in Texas is $22.19, according to ZipRecruiter salary data. Most workers in this role earn between $15.01 and $26.43 per hour, depending on experience, location, and employer.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What are the most commonly searched types of Data Annotation jobs in Texas? The most popular types of Data Annotation jobs in Texas are:
What are popular job titles related to Data Annotation jobs in Texas? For Data Annotation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Texas look for? The top searched job categories for Data Annotation jobs in Texas are:
What cities in Texas are hiring for Data Annotation jobs? Cities in Texas with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Texas as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $46,160 per year, or $22.2 per hour.

AI Data Science Expert - Remote

YO AI Labs

Austin, TX • Remote

$100 - $200/hr

Part-time

Posted 19 hours ago

Posted today

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.