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Remote Data Tagging Jobs in Houston, TX (NOW HIRING)

vivi.io

Sales Development Representative

Houston, TX · Remote

This role is 100% remote, but we are looking for an individual in the Eastern/Central Time Zones ... Use signals fromdistrict strategic plans,tech stack data, and intent tools to informtalk ...

vivi.io

Sales Development Representative

Houston, TX · Remote

This role is 100% remote, but we are looking for an individual in the Eastern/Central Time Zones ... Use signals from district strategic plans, tech stack data, and intent tools to inform talk track ...

paradigm

Document Administrator

Houston, TX · Remote

This is a remote position with hours generally allied to standard business hours, Monday through ... Complete tasks or access data in a number of Paradigm internal systems including EDDG, Tasking ...

All JobsData Tagging JobsRemote Data Tagging JobsRemote Data Tagging Jobs in Houston, TX

Remote Data Tagging information

See Houston, TX salary details

$52.5K

$94.8K

$129.4K

How much do remote data tagging jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data tagging in Houston, TX is $94,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $103,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data tagging specialist?

To thrive as a Remote Data Tagging Specialist, you need strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, typically supported by a high school diploma or higher. Experience with data annotation tools such as Labelbox, Supervisely, or CVAT, and understanding of formats like JSON or XML, is commonly required. Excellent time management, communication, and reliability are standout soft skills for this remote role. These abilities are crucial to ensure high-quality, accurate datasets that power machine learning and AI systems.

What are some common challenges faced by remote data tagging professionals and how can they be addressed?

Remote data tagging professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying engaged without in-person supervision. To address these, it’s helpful to follow clear annotation guidelines, take regular breaks to prevent fatigue, and use collaboration tools to communicate with team members or supervisors. Many organizations also provide feedback loops and quality checks to support remote taggers in improving their work and staying aligned with project expectations.

What is the difference between Remote Data Tagging vs Remote Data Annotation?

AspectRemote Data TaggingRemote Data Annotation
Primary FocusLabeling specific data points within datasetsAdding detailed labels and context to data
Skills RequiredAttention to detail, basic understanding of data typesAnalytical skills, understanding of data context
Work EnvironmentRemote, often part-time or freelanceRemote, often part-time or freelance
Industry UsageMachine learning, AI trainingMachine learning, AI training

Remote Data Tagging and Remote Data Annotation are closely related tasks in AI data preparation. Tagging typically involves marking specific data points, while annotation provides more detailed context. Both roles are essential for training machine learning models and share similar skills and work environments.

What is remote data tagging?

Remote data tagging is the process of labeling or annotating data—such as images, videos, text, or audio—while working from a remote location, typically from home. This work is essential for training artificial intelligence (AI) and machine learning models, as it helps computers better understand and categorize information. Data taggers use specialized software to mark, classify, or add metadata to various types of digital content according to specific guidelines provided by employers or clients. Most remote data tagging jobs require attention to detail, basic computer skills, and the ability to follow detailed instructions. These roles are often offered as freelance, part-time, or full-time remote positions.
What are popular job titles related to Remote Data Tagging jobs in Houston, TX? For Remote Data Tagging jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Tagging jobs in Houston, TX look for? The top searched job categories for Remote Data Tagging jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Data Tagging jobs? Cities near Houston, TX with the most Remote Data Tagging job openings:
Remote Data Tagging jobs near you
Infographic showing various Remote Data Tagging job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,763 per year, or $45.6 per hour.

Building Controls Application Engineer

Mantis Innovation

Houston, TX • Remote

$120K - $130K/yr

Full-time

Re-posted 11 days ago

Job description

Position: Controls Application Engineer 
Start Date: Immediate 
 
As a Controls Application Engineer, you will be responsible for developing BMS/SCADA applications at both a supervisory and controller level. You will help refine engineering standards and provide remote support to project and field teams. You will also be involved in providing support across multiple engineering functions within the Controls Engineering group. You should be familiar with both DDC and PLC programming, BACnet & Modbus integrations, and have experience with building graphical front-end client interfaces.
Controls Application Engineering
  • This position will report to the Controls Engineering Manager.
  • Develop BMS applications across multiple platforms: e.g., Niagara, Ignition, Wonderware, Distech, PLC's.
  • Support the development and enforcement of engineering standards for programming, graphics, alarming, tagging, history management, and database creation. 
  • Provide remote technical support to Project Managers and Field Engineers during project execution. 
Qualifications
  • 10+ years of experience in the engineering field, preferably in Building Automation or Controls Engineering. 
  • 5+ years of BMS application development experience, with mission critical experience preferred. 
  • Strong knowledge of DDC control theory & HVAC applications and the ability to apply these principles to real-world scenarios. 
  • Basic networking knowledge; addressing & subnetting, IP + serial device configurations.
  • Comfortable working with industry standard protocol integrations such as: BACnet, Modbus, Ethernet/IP, SNMP, MQTT.
  • Basic networking knowledge, including manipulating PC settings to set up and commission devices on a network. 
  • Experience with servers, network equipment, and IoT practices, specifically for BMS applications. 
  • 2+ years of experience with Niagara platform (Niagara N4 certification is preferred).
  • Familiarity with Distech field controllers and GFX programming, Ignition SCADA, Wonderware, and PLC systems.
  • Proficiency in Microsoft Office Suite.
Competencies
  • Must be able to work independently and in a team, handling multiple tasks across different projects. 
  • Strong troubleshooting skills, with the ability to identify problems and develop effective solutions. 
  • Knowledge of the construction contracting industry, especially in MEP fields, with experience in mission-critical environments a plus. 
  • Understanding of Mechanical and Electrical equipment in typical Mission Critical environments.
This role will provide the opportunity to work in a dynamic and fast-paced environment, where you will gain valuable experience with cutting-edge technologies and play a pivotal role in the successful completion of projects 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.