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Remote Data Labeling Jobs in Texas (NOW HIRING)

TEKsystems

Data Annotation Specialist

Austin, TX · Remote

$25 - $35/hr

Annotate large datasets with accurate labels that will be used to train and validate AI models ... remote position. Application Deadline This position is anticipated to close on Sep 9, 2026. About ...

Welo Data

English AI Maps Trainer

Fort Worth, TX · Remote

$20.30/hr

... Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye for artistic detail and intuitive ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

ASM Global

Director, CRM Insights

Frisco, TX · Remote

Remote Opportunity REPORTS TO: Vice President, AI & Insights LEGENDS GLOBAL Legends Global is the ... Partner with Technology, Insights and Data Engineering to architect and implement the integrations ...

Truvani

Direct Response Copywriter - REMOTE

Austin, TX · Remote

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

Truvani

Direct Response Copywriter - REMOTE

Austin, TX · On-site +1

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

Truvani

Direct Response Copywriter - REMOTE

Dallas, TX · Remote

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

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All JobsData Labeling JobsRemote Data Labeling JobsRemote Data Labeling Jobs in Texas

Remote Data Labeling information

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How much do remote data labeling jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote data labeling in Texas is $30.21, according to ZipRecruiter salary data. Most workers in this role earn between $15.01 and $40.80 per hour, depending on experience, location, and employer.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What are common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

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

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

What are popular job titles related to Remote Data Labeling jobs in Texas?

For Remote Data Labeling jobs in Texas, the most frequently searched job titles are:

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

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

What cities in Texas are hiring for Remote Data Labeling jobs?

Cities in Texas with the most Remote Data Labeling job openings:

Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $62,827 per year, or $30.2 per hour.

Remote Telecommunications Lineman

San Antonio, TX • On-site, Remote

Turner Mining Group
Coal, Metals and Minerals Mining • 201 - 500 employees
Learn more about Turner Mining Groupexternal

$32.50 - $37.50/hr

Full-time

Re-posted 28 days ago

Job description

Position Summary
The Remote Telecommunications Lineman - Asset Review & Flight Planning role supports
telecom infrastructure projects by assisting in planning field data capture activities and
reviewing client assets using imagery collected by field teams. This position leverages real-
world lineman experience to ensure accurate flight planning, proper data handling, and
high-quality asset identification and validation in accordance with client and industry
standards. This is a 90% remote, desk-based role with no field work required.
Key Responsibilities
Flight Planning & Field Support
• Assist in flight planning for data capture activities
• Verify scope alignment with client requirements
• Identify access, clearance, or environmental constraints
• Coordinate with operations on capture expectations and priorities
• Review incoming data for completeness and usability
• Identify gaps requiring re-capture before processing
Data Upload & Management
• Upload field-captured imagery and datasets to designated platforms
• Organize, label, and track datasets for version control
• Validate file integrity and metadata completeness
• Maintain data organization standards for efficient QA review
Asset Review & Validation
• Review ground, aerial, and pole-mounted imagery
• Identify and classify telecom assets (fiber, copper, coax, strand)
• Validate attachment order and construction practices
• Interpret field conditions using lineman expertise
• Flag discrepancies, safety concerns, or unclear imagery
• Enter and update asset data in client platforms
• Communicate findings with supervisors and project teams
• Meet production and quality benchmarks
Required Qualifications
• Prior experience as a telecommunications lineman or OSP technician
• Strong understanding of aerial and underground infrastructure
• Ability to interpret construction practices from imagery
• Experience or aptitude in planning operational workflows
• Proficiency with computers and web-based platforms
• High attention to detail and documentation accuracy
• Ability to work independently in a remote environment
• Reliable internet connection and workspace
Preferred Qualifications
• Experience with telecom asset inventories or make-ready
• Familiarity with major carrier standards
• Experience with drone or LiDAR imagery workflows
• QA/QC or back-office telecom experience
• Knowledge of NESC or GO95 standards
• Experience with GIS or asset management systems
Work Environment & Schedule
Fully remote, desk-based role with standard business hours. Overtime may be required
based on project demand. Production-based workflow with quality benchmarks.
Physical Requirements
Ability to sit and work at a computer for extended periods and visually review detailed
imagery and data.

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