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Data Annotation Engineer Jobs in Texas (NOW HIRING)

Autonomize Inc

Business Analyst

Austin, TX · On-site

... data models, and repeatable processes that scale. You'll partner with Product, Engineering ... annotation workflows. * Validate data quality, lineage, and mappings across EHR, claims, and ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Texas

Data Annotation Engineer information

See Texas salary details

$48K

$137.4K

$183.5K

How much do data annotation engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data annotation engineer in Texas is $137,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $182,600.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Does data annotation really pay?

Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.

What is the highest salary for data annotator?

The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.

How hard is it to get hired by data annotation?

Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Texas? For Data Annotation Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Texas look for? The top searched job categories for Data Annotation Engineer jobs in Texas are:
What cities in Texas are hiring for Data Annotation Engineer jobs? Cities in Texas with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $137,383 per year, or $66 per hour.
Consultant | Finance | Income Tax

Consultant | Finance | Income Tax

Spruce Infotech

Richardson, TX • On-site

Full-time

Posted 5 days ago

New

Job description

Work Location: RichardsonTX75081
XXX
Contract duration: 6
Target Start Date: 07 Jul 2026
Does this position require Visa independent candidates only? YES
**hybrid work set-up**
Job Details:
Must Have Skills
CPA, CA, CPB equivalent designation Practical experience in tax accounting.
Strong understanding of tax filing and tax return preparation. Knowledge of debit and credit concepts and business finance.
Strong English communication skills. Critical thinking skills and an auditoriented mindset. Ability to work independently and manage deliverables effectively.
Detailed Job Description
Design annotation guidelines and advise engineering teams on financial data taxonomies. Provide expertise in financial accounting and taxrelated tools. Identify edge cases, anomalies, potential bias, and hallucinations in AI training data. Bridge the gap between technical teams and tax legislation requirements.
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Tax Accounting
Tax Filing and Returns
Business Finance,
Interview Process (Is face to face required?)
No
Any additional information you would like to share about the project specs/ nature of work
Project Code: AI Annotator positions in USA for Xero

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