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Machine Learning Data Associate Jobs in Houston, TX

Data Science Tutor

Missouri City, TX ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Pearland, TX ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Houston, TX ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Sugar Land, TX ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Gen AI/ML Solution Architect

Houston, TX ยท On-site

$60.25 - $79.25/hr

The ideal candidate will have over a decade of expertise in AI, machine learning, data mining, NLP, and predictive analytics, with proven success in architecting large-scale data science solutions ...

Data Scientist

Spring, TX ยท On-site

$71.50 - $164.40/hr

Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (e.g. Informatica, Ab Initio, Talend). * Basic communication and presentation skills. * Basic data knowledge ...

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine learning * Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ...

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

Lead Machine Learning Engineer

Houston, TX ยท On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Establish prompt engineering and data management best practices for transparency and governance.

Showing results 41-60

Machine Learning Data Associate information

See Houston, TX salary details

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How much do machine learning data associate jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for machine learning data associate in Houston, TX is $17.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Houston, TX are hiring for Machine Learning Data Associate jobs?

Cities near Houston, TX with the most Machine Learning Data Associate job openings:

Infographic showing various Machine Learning Data Associate job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $37,202 per year, or $17.9 per hour.

Principal AI Data Scientist

HP Development Company, L.P.

Spring, TX โ€ข On-site

$147K - $230K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 9 days ago


Job description

Principal 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 Principal Data Scientist focused on Generative AI, you will lead 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
โ€ข Leads organization-wide team or teams of other data science professionals in complex projects to create GenAI-based models and digital products.
โ€ข Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
โ€ข Manages relationships with senior business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
โ€ข Ties insights into effective visualizations communicating business value and innovation potential.
โ€ข Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
โ€ข Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
โ€ข Represents the data science team for all phases of larger and more-complex development projects.
โ€ข Provides guidance, training and mentoring to less experienced staff members.
Education & Experience Recommended
  • PhD related to AI and 5+ years of experience or Master's degree related to AI and 10+ years of experience.
  • Relevant experience must involve Generative AI and related technologies including machine learning. data analytics, and statistical modeling.

Preferred Certifications
โ€ข 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.

Cross-Org Skills
โ€ข Effective Communication
โ€ข Results Orientation
โ€ข Learning Agility
โ€ข Digital Fluency
โ€ข Customer Centricity
The base pay range for this role is $147,050 to $230,850 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's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"