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Machine Learning Data Associate Jobs in Porter, TX

SwiftCruit

Data Scientist

Spring, TX · 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 ...

Beth Page tech

Data Scientist

Houston, TX · On-site

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

Techvilla Solutions

Data Scientist

Highlands, TX · On-site

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

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

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 ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · 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.

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/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.

NobleAI

Lead Machine Learning Engineer

Houston, TX · 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.

East West Bank

Financial Crimes Data Scientist

Houston, TX · On-site

$100 - $200/hr

Leverages machine learning, network analytics, and large-scale financial data to identify emerging threats, enhance detection effectiveness, reduce false positives, and support regulatory compliance ...

Socket.dev

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve complex problems related to downhole tools, signal processing, and formation evaluation. The ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Porter, TX

Machine Learning Data Associate information

See Porter, TX salary details

$8

$17

$27

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

As of Aug 22, 2026, the average hourly pay for machine learning data associate in Porter, TX is $17.01, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.12 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 Porter, TX are hiring for Machine Learning Data Associate jobs?

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

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Porter, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $35,381 per year, or $17 per hour.

Senior Machine Learning Engineer

Beth Page tech

Houston, TX • On-site

$99K - $137K/yr

Contractor

Re-posted 28 days ago

Job description

Job Title: Senior Machine Learning Engineer

Location: Houston, TX

Environment: Standard, 5-days onsite

Job Description :

 

Must-Have (Technical Expertise & Core Responsibilities)

  • Deep Neural Networks (DNN):
    • Hands-on experience with CNN, RNN, Graph Neural Networks, and transformers.
    • Proficiency in hyperparameter optimization, autoencoders, model evaluation, and error metrics.
  • Generative AI:
    • Strong knowledge of LLMs (BERT, GPT, etc.), embeddings, and supervised fine-tuning.
    • Experience with Reinforcement Learning, RAG (Retrieval-Augmented Generation), and Agentic AI.
    • Familiarity with GraphRAG and LLM-as-a-judge architectures.
  • Predictive Analytics:
    • Expertise in classification, regression, anomaly detection, and sequence modeling.
    • Practical application of NLP techniques (sentiment analysis, entity recognition) and knowledge graphs.

Core Responsibilities:

  • Design, train, and optimize DNN and generative models for real-world business problems.
  • Implement LLM-based solutions (fine-tuning, RAG, agents) to enhance decision-making.
  • Develop predictive models for trading, risk assessment, and operational efficiency.
  • Collaborate with teams to integrate AI/ML solutions into production systems.
  • Rigorously evaluate models using appropriate metrics and error analysis.

Qualifications & Skills:

  • Master’s/Ph.D. in Computer Science, ML, or related field.
  • 5-7+ years of industry experience in applying DNN, generative AI, and predictive analytics.
  • Python mastery (TensorFlow/PyTorch, Transformers, Scikit-learn).
  • Cloud (AWS) and containerization (Docker) experience.

Nice-to-Have (Preferred Experience):

  • Production experience with GenAI models in the energy/commodities trading sector.
  • Experience with interactive dashboards (Dash, Streamlit) and time series modeling.
  • Knowledge of data orchestrators (Airflow, Dagster) and CI/CD pipelines.