2

Full Time Ai Data Annotation Jobs in Texas (NOW HIRING)

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

... AI systems that drive operational value, focusing on text and language-based applications ... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Support data annotation and quality validation activities * Maintain accurate operational records ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

next page

Showing results 1-20

Full Time Ai Data Annotation information

What is a full time AI data annotation job?

Full Time AI Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Annotators play a crucial role in ensuring AI systems understand and process information accurately by providing high-quality, human-curated data. These positions usually require attention to detail, basic computer skills, and the ability to follow specific guidelines for different projects. Full-time roles typically offer stable hours and may be remote or on-site, depending on the employer.

What are the key skills and qualifications needed to thrive as a full time AI data annotation specialist?

To thrive as a Full Time AI Data Annotation Specialist, you need strong attention to detail, basic data literacy, and often a high school diploma or equivalent. Familiarity with annotation platforms (like Labelbox or Supervisely) and understanding of data labeling guidelines are typically required. Patience, consistency, and effective communication are soft skills that help ensure accuracy and clarity in collaborative projects. These skills and qualities are crucial for producing high-quality labeled data, which directly impacts the performance of AI models.

What are some common challenges faced by full time AI data annotation professionals, and how can they be addressed?

AI Data Annotation professionals often encounter challenges such as maintaining high accuracy while working with large datasets, interpreting ambiguous data, and consistently following complex labeling guidelines. These challenges can be addressed through thorough training, frequent communication with project managers or data scientists, and utilizing annotation tools with built-in quality checks. Collaboration with team members and regular feedback sessions also help ensure consistency and improve overall data quality, making the annotation process smoother and more efficient.

What is the difference between Full Time Ai Data Annotation vs Data Labeler?

AspectFull Time Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; part of AI development teamsOffice or remote; often task-based or freelance
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning industries for data preparation
Job ScopeFull-time, with responsibilities including data annotation, quality control, and collaborationTask-specific, focusing on labeling data accurately for AI training

Full Time Ai Data Annotation roles typically require more consistent hours, team collaboration, and a broader scope of responsibilities compared to Data Labelers, who often work on individual tasks with minimal oversight. Both roles are essential in AI development, but Full Time Ai Data Annotation offers more stability and integration within AI projects.

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

The most popular types of Ai Data Annotation jobs in Texas are:

What are popular job titles related to Full Time Ai Data Annotation jobs in Texas?

For Full Time Ai Data Annotation jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Full Time Ai Data Annotation jobs in Texas look for?

The top searched job categories for Full Time Ai Data Annotation jobs in Texas are:

What cities in Texas are hiring for Full Time Ai Data Annotation jobs?

Cities in Texas with the most Full Time Ai Data Annotation job openings:

Infographic showing various Full Time Ai Data Annotation job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 4 days ago


HP rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

70th of 159 rated electronics manufacturers


Job description

AI Data Scientist

Description -

About the Position
The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge. We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company.

As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you'll collaborate with business stakeholders and across various units to develop and deploy solutions at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role.


Responsibilities

Delivers Generative AI-based models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.

Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
Strategizes models to uncover patterns and predictions creating business value and innovation.
Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
Ties insights into effective visualizations communicating business value and innovation potential.
Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
Represents the data science team for all phases of larger and more-complex development projects.
Provides guidance, training and mentoring to less experienced staff members.
Education & Experience Recommended

  • PhD related to AI or a Master's degree in computer science or a related field and 5+ years of experience with GenAI and related technologies including machine learning. data analytics, and statistical modeling.


Preferred Certifications
Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills

  • Strong foundation in data science and core machine learning concepts.

  • Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines.

  • Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus.

  • Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker.

  • Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups.

  • Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required.

  • Able to explain technical concepts (e.g., LLMs) to non-technical audiences.

  • You suggest pragmatic solutions that are as simple as possible-even if that means no AI is required.


The base pay range for this role is $130,700 to $205,200 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

Health insurance

Dental insurance

Vision insurance

Long term/short term disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off policies, including;

  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"


What HP employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


HP logo

About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939