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Ai Labelling Jobs in Spring, TX (NOW HIRING)

Welocalize, Inc.

Generative AI Analyst

Houston, TX · On-site

The Generative AI Analyst role focuses on creatively developing and maintaining prompts, responses ... Lead labeling initiatives with third-party firms and internal customers. * Develop and update ...

INSPYR Solutions

AI Engineer

The Woodlands, TX · Hybrid

Strong understanding of data security, sensitivity labels, permissions, and AI governance principles. * Excellent communication skills -- equally comfortable with executives, analysts, and field ...

INSPYR Solutions

AI Engineer

The Woodlands, TX · On-site

Strong understanding of data security, sensitivity labels, permissions, and AI governance principles. * Excellent communication skills - equally comfortable with executives, analysts, and field ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX

$117K - $154.20K/yr

Design, manage, and continuously improve image and video labeling workflows, using Roboflow or ... Collaborate closely with crossfunctional teams (AI platform, software engineering, domain experts ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Design, manage, and continuously improve image and video labeling workflows, using Roboflow or ... Collaborate closely with cross-functional teams (AI platform, software engineering, domain experts ...

Bot Auto

Data Annotation Specialist

Houston, TX

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on ...

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Ai Labelling information

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How much do ai labelling jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for ai labelling in Spring, TX is $48.43, according to ZipRecruiter salary data. Most workers in this role earn between $42.16 and $57.74 per hour, depending on experience, location, and employer.

What is an AI Labelling job?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

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

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are some typical challenges faced in AI Labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.
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Ai Labelling jobs near you

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Houston, TX • Remote

$20/hr

Full-time, Part-time

Posted 22 days ago

Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology