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Data Tagging Jobs in Texas (NOW HIRING)

Detail-oriented approach to ticket categorization, data tagging, and reporting. Success Indicators * Maintain client satisfaction scores above defined benchmarks. * Contribute to measurable ...

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

... tagging and classification. You'll build the preprocessing and feature engineering pipelines your ... Working closely with software and data engineers, you'll help productionize models in modern cloud ...

We\'re looking for a Senior Data Scientist, Applied ML to design, build, and deploy models for ... tagging and classification. You\'ll build the preprocessing and feature engineering pipelines your ...

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Enrich raw data with advanced metadata tagging to help agents filter and prioritize information during multi-step reasoning tasks. * Real-time Data Streaming: Build low-latency data streams (using ...

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Enrich raw data with advanced metadata tagging to help agents filter and prioritize information during multi-step reasoning tasks. * Real-time Data Streaming: Build low-latency data streams (using ...

Apply and validate asset tagging standards for all received and deployed equipment. * Manage ... Data Center Operations Support * Collaborate with engineering and operations teams to support ...

Involved in the analysis of structured, unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the ...

Enrich raw data with advanced metadata tagging to help agents filter and prioritize information during multi-step reasoning tasks. * Real-time Data Streaming: Build low-latency data streams (using ...

Enrich raw data with advanced metadata tagging to help agents filter and prioritize information during multi-step reasoning tasks. * Real-time Data Streaming: Build low-latency data streams (using ...

Showing results 21-40

Data Tagging information

What does a data tagger do?

A typical day for a Data Tagging professional involves reviewing large volumes of data—such as images, video clips, audio, or text—and applying specific labels or annotations according to detailed project guidelines. You’ll likely work with specialized software platforms and may be part of a collaborative team that regularly coordinates to ensure consistency and accuracy. Frequent communication with project managers or data scientists is common to clarify criteria or resolve ambiguities. While the work can be repetitive, it is crucial for the development of AI and machine learning applications, and there are often opportunities to progress into quality assurance, project coordination, or more technical data roles over time.

What skills and qualifications are needed for data tagging?

To excel in a Data Tagging role, attention to detail, consistency, and a basic understanding of data categorization or annotation are essential, often supported by a high school diploma or equivalent. Familiarity with specialized annotation software or data labeling platforms, as well as basic computer literacy, is typically required. Strong time management, communication skills, and the ability to follow detailed instructions help candidates stand out. These abilities ensure that tagged data is accurate, reliable, and ready for use in training machine learning models or improving data-driven processes.

What is data tagging?

A Data Tagging job involves labeling or annotating data, such as text, images, audio, or video, to help machine learning models understand patterns and make accurate predictions. Taggers assign relevant metadata, categories, or identifiers to raw data based on predefined guidelines. This process is essential for training AI systems in tasks like image recognition, natural language processing, and content moderation. Attention to detail and consistency are critical in ensuring high-quality, accurate datasets for AI models.

What are the most commonly searched types of Data Tagging jobs in Texas?

The most popular types of Data Tagging jobs in Texas are:

What job categories do people searching Data Tagging jobs in Texas look for?

The top searched job categories for Data Tagging jobs in Texas are:

What cities in Texas are hiring for Data Tagging jobs?

Cities in Texas with the most Data Tagging job openings:

Infographic showing various Data Tagging job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Technical Support Specialist

INNERGY

Austin, TX • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Company Description

INNERGY is transforming the woodworking industry with purpose built, cloud based ERP software designed exclusively for custom manufacturers. Our platform helps businesses operate smarter, faster, and more efficiently while seamlessly connecting design, production, and delivery for teams creating architectural millwork, cabinetry, and casework.

What truly sets INNERGY apart is our people. Founded in 2016, we are a globally distributed team of 200 plus professionals united by deep software expertise and a shared passion for solving meaningful, real world problems. We value collaboration, creativity, and ownership, and we are intentional about building not only powerful products, but also a culture where people feel supported, heard, and inspired to do their best work.

With strong momentum and the recent acquisition of Microvellum, a trusted leader in design to manufacturing solutions for the woodworking industry, INNERGY is entering an exciting new phase of growth. This combination expands our capabilities, deepens our industry impact, and accelerates our vision of delivering a truly connected, end to end platform for custom manufacturers.

As we scale thoughtfully and bring together top talent and new perspectives, this is a unique opportunity to join a company where your work will have visible impact, your ideas will help shape decisions, and your contributions will play a meaningful role in defining the future of a fast evolving product, team, and industry.

Job Description

As a Technical Support Specialist, you'll ensure clients receive fast, accurate, and empathetic help while fully leveraging INNERGY Design and integrated CAD/CAM solutions. You'll troubleshoot complex technical issues, collaborate across teams, and help shape the future of support by training our AI systems to anticipate and resolve client needs automatically.

This role bridges client experience, technical excellence, and AI innovation, directly impacting customer satisfaction, operational efficiency, and product improvement.

Key Responsibilities

Client Support & Experience

  • Manage and resolve client issues through Intercom and Microsoft Dynamics, ensuring responses meet SLAs and deliver a consistently positive experience.
  • Communicate complex technical concepts clearly and empathetically to build client confidence and trust.

Technical Troubleshooting

  • Diagnose and resolve issues related to INNERGY Design, Microvellum Toolbox, and AutoCAD-based integrations.
  • Support workflows including CAD integration, library configurations, and manufacturing processes to ensure seamless design-to-production operations.

AI & Automation Enablement

  • Tag and label "How-do-I" tickets to train Intercom AI, improving self-service resolution rates.
  • Leverage ticket history and pattern analysis to improve AI accuracy, reduce manual intervention, and scale automation.

Knowledge Management

  • Develop and maintain a knowledge base of reusable responses, how-to articles, and best practices.
  • Continuously refine documentation to improve internal efficiency and client self-service.

Bug Reporting & Collaboration

  • Create detailed, reproducible bug reports from client issues.
  • Collaborate with Engineering and Product teams to drive fast, high-quality fixes.
  • Track recurring issues and share insights to inform product improvements.

Data & Process Optimization

  • Accurately tag and categorize tickets for reporting and analytics.
  • Identify trends and partner with peers to refine workflows and elevate the overall support experience.
Qualifications
  • 2+ years in a technical support role, ideally within CAD/CAM software, design applications, or manufacturing technology.
  • Bilingual French and English
  • Strong troubleshooting and analytical skills, especially in design-to-manufacturing workflows.
  • Proficiency with support platforms such as Intercom, Microsoft Dynamics, or similar systems.
  • Excellent written and verbal communication skills, with the ability to explain complex issues clearly and confidently.
  • Proven ability to manage multiple tickets in a fast-paced environment with accuracy and composure.

Preferred

  • Familiarity with INNERGY Design, Microvellum Toolbox, and AutoCAD-based systems.
  • Experience writing structured bug reports and collaborating with development/QA teams.
  • Exposure to AI-assisted support platforms or willingness to learn AI training methods.
  • Detail-oriented approach to ticket categorization, data tagging, and reporting.

Success Indicators

  • Maintain client satisfaction scores above defined benchmarks.
  • Contribute to measurable reductions in manual ticket load through effective AI training and documentation.
  • Deliver accurate, actionable bug reports that accelerate engineering response time.
  • Demonstrate continuous improvement in support efficiency, response quality, and knowledge sharing.
Additional Information

Accessibility & Work Environment

INNERGY is committed to providing an inclusive and accessible work environment. We support reasonable workplace adjustments for individuals with disability in accordance with applicable Australian laws. If you require adjustments during the recruitment process or in your role, please let us know.

This role is primarily computer-based and may involve extended screen time and regular communication through digital channels. Work may be performed in a remote or office-based environment, depending on role and location. INNERGY is committed to supporting employee wellbeing, flexibility, and a safe working environment across all regions.

Accessibility & Work Environment

INNERGY is committed to fostering an inclusive and accessible workplace. We support reasonable adjustments for individuals with disabilities in accordance with applicable laws. If you require any accommodations during the recruitment process or in your role, please let us know.

This role is primarily computer-based and may involve extended periods of screen time and frequent communication through digital tools. Work may be performed remotely or in an office setting, depending on the role and location. We prioritize employee wellbeing, flexibility, and a safe, supportive work environment across all regions.

Equal Opportunity Employer

INNERGY is an Equal Opportunity Employer that values diversity at every level of the organization. We are committed to creating a workplace free from discrimination and harassment. All qualified applicants will be considered without regard to race, color, religion, sex, age, sexual orientation, pregnancy, gender identity or expression, national origin, disability, veteran status, or any other protected characteristic under applicable law.

Location Eligibility Notice

This is a U.S.-based remote role. Due to current regulatory requirements, we are only able to consider candidates residing in certain U.S. states.

Eligible states include, but are not limited to: Texas, Florida, Missouri, Arizona, Indiana, North Carolina, and Wisconsin.

At this time, candidates located in California, Colorado, New York, Illinois, Washington, or other states with active pay transparency requirements are not eligible for consideration.