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Data Capture Jobs in Texas (NOW HIRING)

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Data Capture information

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$4

$25

$53

How much do data capture jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for data capture in Texas is $25.13, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $40.10 per hour, depending on experience, location, and employer.

What are some typical challenges faced by Data Capture professionals, and how are they addressed?

Data Capture professionals often encounter challenges such as handling large volumes of information, maintaining accuracy under tight deadlines, and adapting to frequent updates in data formats or software systems. To address these challenges, companies provide thorough training, maintain clear data entry protocols, and sometimes implement automated quality checks to help ensure data integrity. Collaboration with IT and data management teams is common, allowing Data Capture specialists to resolve any technical issues quickly. By staying organized, communicating effectively, and using available tools, professionals in this role can consistently meet performance expectations and maintain high data quality.

Is 40 too late for data science?

Data capture roles often require strong attention to detail and familiarity with data management tools, but age is not a barrier to entering the field. Many professionals transition into data science or related roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization. Continuous learning and certifications can help improve job prospects regardless of age.

What qualifications do you need to be a data capturer?

To be a data capturer, typically a high school diploma or equivalent is required, along with strong attention to detail and basic computer skills. Familiarity with data entry software and good organizational skills are also important, and some roles may require prior experience in data management or related fields.

Is data capturing a difficult job?

Data capturing is generally considered a straightforward job that requires attention to detail and accuracy. It often involves using software tools and following established procedures, making it accessible for many individuals. The difficulty level depends on the complexity of the data and the precision required, but it typically does not involve highly technical skills or physical labor.

What is a Data Capture job?

A Data Capture job involves collecting, inputting, and managing data from various sources into digital systems. This role ensures accuracy, completeness, and organization of data for business use. Responsibilities may include data entry, verification, and quality control. Data Capture professionals work with databases, spreadsheets, or specialized software to maintain records efficiently. Attention to detail and strong typing skills are essential for success in this role.

What jobs make $1,000,000 a year?

In data capture roles, earning $1,000,000 annually is uncommon; such high salaries are typically found in executive, investment, or entrepreneurial positions. Highly specialized roles with significant experience, leadership responsibilities, or ownership stakes may reach this level, but they are rare in standard data capture jobs. Most data capture positions offer salaries well below this threshold.

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

To thrive as a Data Capture professional, you need strong attention to detail, fast and accurate data entry skills, and a high school diploma or equivalent educational background. Familiarity with data management software such as Microsoft Excel, Google Sheets, or specialized database platforms is often required, and some employers may prefer experience with document scanning tools or OCR technology. Reliability, organization, and the ability to maintain confidentiality are standout soft skills in this position. These capabilities ensure the integrity and accuracy of collected data, which supports informed business decisions and operational efficiency.

What are the most commonly searched types of Data Capture jobs in Texas? The most popular types of Data Capture jobs in Texas are:
What are popular job titles related to Data Capture jobs in Texas? For Data Capture jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Capture jobs in Texas look for? The top searched job categories for Data Capture jobs in Texas are:
What cities in Texas are hiring for Data Capture jobs? Cities in Texas with the most Data Capture job openings:
Data Capture jobs near you
Infographic showing various Data Capture job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $52,275 per year, or $25.1 per hour.
Video Data Capture Technician

Video Data Capture Technician

TRUCKING PEOPLE

Abilene, TX • On-site

$19/hr

Contractor

Posted 5 days ago

Job description

Data Capture Technician (Part-Time, Field-Based)
Location: Austin, TX (Field work in and around Abilene, TX)
Onsite | Two-staged Video interview.
Pay Rate: $19/hour
Schedule: 1 weekday/week (Tuesdays or Thursdays required)
Hours: Half-day (2-3 hours/site visit)
Job Overview
We are hiring a Data Capture Technician to support reality capture and AI-driven data collection on active construction sites across Texas.
In this field-based role, you will operate 360-degree cameras and surveying equipment to capture high-quality site data used for computer vision, machine learning, and algorithmic analysis. This role is ideal for dependable, safety-conscious individuals who enjoy hands-on outdoor work and working with technology in real-world environments.
Immediate start required.
Key Responsibilities
  • Operate 360° cameras, reality capture tools, and surveying equipment on construction sites
  • Capture accurate, comprehensive site data following established workflows and methodologies
  • Document site conditions and clearly communicate progress to project teams
  • Follow all construction site safety protocols, including client- and site-specific guidelines
  • Collaborate with project stakeholders to meet data capture requirements
  • Work on large-scale construction projects across Texas

Required Qualifications (Must-Have)
  • Availability for one full weekday per week (flexible hours; must be available Tuesdays and Thursdays)
  • Comfortable working outdoors on active construction sites in varying weather conditions
  • Ability to walk long distances and perform physical tasks throughout the day
  • Strong work ethic: dependable, punctual, detail-oriented
  • Clear communication skills and strong safety awareness
  • Ability to work independently and follow structured procedures

Preferred Qualifications (Nice-to-Have)
  • Background or interest in construction, surveying, civil engineering, or field operations
  • Previous experience with fieldwork, site inspections, or technical equipment
  • Photography, mapping, or geospatial data exposure
  • College students or recent graduates in related disciplines encouraged to apply
  • Technical aptitude; training provided.

How to Apply
Submit your updated CV and complete the screening questions. Qualified candidates will be contacted quickly through our automated response.
#LI-DNI
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About Trucking People

Sourced by ZipRecruiter

Trucking People, based in Houston, TX, US, operates within the transportation and logistics industry. The company primarily focuses on providing reliable trucking services across the country. Though the exact date of establishment is not explicitly mentioned, Trucking People has managed to secure a reputable position within the industry. The company's mission is to facilitate smooth logistics for businesses by ensuring the timely and safe delivery of goods.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Houston, TX, US

Year founded

2017

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