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Tech Mining Jobs in Texas (NOW HIRING)

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) - Perform manual data annotation and quality assurance (QA) review for perception and VLA (Vision-Language-Action) data, including video ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

Here's a job summary in list format based on your description for the Data Annotator & QA Reviewer (Autonomy & Robotics - Mining Operations): --- ### Job Summary - Perform Manual Data Annotation & QA ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Support the development of autonomous mining machines by executing manual data annotation, sensor data fusion, and rigorous QA review, creating high-quality datasets for advanced AI models ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

We are seeking a highly detail-oriented Data Annotator & QA Reviewer to join our Autonomy & Robotics team and directly shape the future of mining operations. In this role, you won't just label images ...

High Tech Machine

VTL CNC Lathe Machinist

Houston, TX · On-site

$21 - $26.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

VTL CNC LATHE MACHINIST As an ISO 9001 certified company, High Tech Machine provides reliable, quality machining and innovative, custom prototypes and solutions for Oil & Gas, Aerospace, Mining ...

High Tech Machine

TRAK Manual Mill Machinist

Houston, TX · On-site

$21 - $28.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As an ISO 9001 certified company, High Tech Machine provides reliable, quality machining and innovative, custom prototypes and solutions for Oil & Gas, Aerospace, Mining, Marine and other industries ...

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All JobsTech Mining JobsTech Mining Jobs in Texas

Tech Mining information

See Texas salary details

$16

$25

$32

How much do tech mining jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for tech mining in Texas is $25.00, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $27.79 per hour, depending on experience, location, and employer.

What is the difference between Tech Mining vs Data Analyst?

AspectTech MiningData Analyst
Required CredentialsTypically requires degrees in computer science, data science, or related fields; certifications like Python, SQL, or data mining toolsUsually needs degrees in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentOften involves working with large datasets, data mining software, and programming languages in tech or research settingsPrimarily analyzes data sets, creates reports, and visualizations in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries focusing on data discovery and extractionCommon in finance, marketing, healthcare, and business sectors for data interpretation

While both roles involve working with data, Tech Mining focuses on extracting valuable information from large datasets using specialized tools and techniques, often requiring programming skills. Data Analysts interpret and visualize data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What is tech mining?

Tech mining, short for technology mining, is the process of analyzing large sets of scientific and technological information—such as patents, research articles, and technical reports—to extract insights about technological trends, emerging innovations, and competitive landscapes. It combines methods from data mining, bibliometrics, and information science to help organizations make informed decisions about research and development, investment, and strategy. Tech mining is commonly used by corporations, research institutions, and government agencies to identify opportunities and threats in technology-driven markets.

What are the main challenges faced by professionals working in tech mining, and how can they be addressed?

Professionals in Tech Mining often face challenges such as managing large volumes of complex data, staying updated with rapidly evolving technologies, and ensuring the accuracy of insights derived from various information sources. Addressing these challenges requires strong analytical skills, continuous learning, and proficiency with specialized data mining and visualization tools. Collaboration with R&D teams and subject matter experts is also essential to interpret findings correctly and translate them into actionable strategies for innovation and competitive advantage.

What are the key skills and qualifications needed to thrive as a tech mining specialist?

To thrive as a Tech Mining Specialist, you need expertise in data analysis, information retrieval, and a strong understanding of technology trends, often backed by a degree in information science, engineering, or a related field. Familiarity with text mining software (such as VantagePoint or PatentSight), databases, and analytical tools like Python or R is typically required. Analytical thinking, attention to detail, and strong communication skills help convey complex insights to stakeholders. These abilities are crucial for extracting actionable intelligence from large datasets and supporting strategic decision-making in technology-driven industries.

What are popular job titles related to Tech Mining jobs in Texas?

For Tech Mining jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Tech Mining jobs in Texas look for?

The top searched job categories for Tech Mining jobs in Texas are:

Tech Mining jobs near you
Infographic showing various Tech Mining job openings in Texas as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 11% Part Time, 10% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $52,004 per year, or $25 per hour.

Data Annotator

Expert Technology Services

Irving, TX • On-site

$109K - $132K/yr

Contractor

Posted 10 days ago

Job description

Job Summary (List Format): Data Annotator & QA Reviewer – Autonomy & Robotics (Mining)
- Perform manual data annotation and quality assurance (QA) review for perception and VLA (Vision-Language-Action) data, including video, images, and multi-sensor machine data.
- Annotate mining site entities (e.g., roads, rock piles, vehicles, personnel, machinery) in both 2D and 3D data formats (LiDAR, radar, video).
- Track heavy equipment trajectories and operational states, including motion paths, articulation, bucket/blade actions, and velocity in challenging mining environments.
- Align and fuse data from various sensors (camera, LiDAR, GPS/GNSS, IMU, CAN bus, payload sensors) to maintain accurate spatial and temporal mapping.
- Decompose mining workflows into structured task sequences, labeling actions, operator/machine intent, causations, and outcomes for autonomous system training.
- Model and annotate causal relationships and site-specific triggers (e.g., environmental changes, equipment reactions) in mining operations.
- Tag and verify outcomes of machine actions, comparing expected vs. actual results (e.g., load success, hazard avoidance, maneuver outcomes).
- Conduct rigorous QA audits of labeled datasets, ensuring high accuracy, semantic consistency, and correct handling of mining-specific edge cases (dust, mud, night, glare, underground).
- Provide feedback and update labeling guidelines based on emerging annotation challenges and edge cases.
- Utilize various labeling platforms (CVAT, Labelbox, Scale AI, Supervisely, V7, Encord, etc.) for high-precision data annotation.
- Collaborate with internal and external teams to maintain data quality standards and continuously improve annotation processes.
Required Skills & Qualifications:
- 1+ years of experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Experience with 3D spatial data (LiDAR, point clouds, depth maps, spatial trajectories, multi-camera feeds).
- Strong attention to detail, especially for complex spatial and environmental scenarios.
- Familiarity with mining operations, heavy equipment, and related safety/operational terminology.
- Technical aptitude with geospatial/sensor data formats (JSON, XML) and labeling tools.
- Ability to breakdown complex workflows into sequenced actions and label accordingly.
- Strong 3D spatial visualization and perception skills.
Desired (Nice to Have):
- Background in Mining Engineering, Robotics, Autonomous Vehicles, or related fields.
- Experience with autonomous haulage systems or industrial robotics VLA models.