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Machine Learning Data Associate Jobs in Texas (NOW HIRING)

Relevant experience must be in designing/implementing machine learning, data science, advanced ... Associate's degree plus 12 years' experience may be considered for individuals with in-depth ...

Required : • Bachelor's degree and 10 years' relevant experience OR Associate's degree plus 12 ... Machine Learning, Data Science, Operations Research, or Computer Science. • A degree in a related ...

Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and build scalable data pipelines and data products * Perform data analysis, feature engineering ...

We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ... Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they ...

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Machine Learning Data Associate information

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$9

$17

$28

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

As of Sep 12, 2026, the average hourly pay for machine learning data associate in Texas is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $18.61 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 in Texas are hiring for Machine Learning Data Associate jobs?

Cities in Texas with the most Machine Learning Data Associate job openings:

Infographic showing various Machine Learning Data Associate job openings in Texas as of September 2026, with employment types broken down into 67% Full Time, 11% Part Time, 11% Contract, and 11% Nights. Highlights an 100% In-person job distribution, with an average salary of $36,310 per year, or $17.5 per hour.

Senior Machine Learning Data Scientist

Houston, TX • On-site

Engie
Clean Energy Services • 10K+ employees

Full-time

This job post has expired today. Applications are no longer accepted.


ENGIE rating

9.2

Company rating: 9.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

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Job Description
Senior Machine Learning Data Scientist
Posting Start Date: 5/19/26
Requisition ID: 65685

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