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Machine Learning Data Associate Jobs in Little Elm, TX

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Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... data warehouse platform using the Snowpark framework Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous ...

Highbrow LLC

Data Scientist / ML Engineer

Frisco, TX · On-site

$100 - $130/hr

Data Scientist / ML Engineer Year Of Experience : 7+ years Location: Overland Park KS/ Frisco TX ( ... Expertise with scaling pilot machine learning solutions to a large scale production environment ...

TeleWorld Solutions

Machine Learning Engineer

Plano, TX · On-site

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... You will utilize skills to query databases to extract data, use skills in Python or R to analyze ...

TeleWorld Solutions

Machine Learning Engineer

Plano, TX · On-site

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... You will utilize skills to query databases to extract data, use skills in Python or R to analyze ...

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Machine Learning Data Associate information

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

As of Aug 20, 2026, the average hourly pay for machine learning data associate in Little Elm, TX is $17.30, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.41 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 Little Elm, TX are hiring for Machine Learning Data Associate jobs?

Cities near Little Elm, 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 Little Elm, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $35,981 per year, or $17.3 per hour.

Machine Learning & Data Platform Engineer

Realpage

Richardson, TX • On-site

$104K - $124K/yr

Full-time

Re-posted 10 days ago

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

225th of 245 rated software companies

Job description

Job Summary:
RealPage, Inc. is seeking a Staff Engineer to lead the development of their financial data integration and machine learning classification platform. The role involves building and deploying ML models, maintaining data pipelines, and making architectural decisions while mentoring a direct report.
Responsibilities:
• ML Model Development & Deployment — Build, train, and deploy classification models (currently served via Wallaroo ) that predict financial field/table mappings from document headers. Extend existing BERT-based question-answering models used for extracting structured data from free-text property descriptions.
• Pipeline Platform — Maintain and extend the configuration-driven orchestration system that matches incoming files to processing pipelines, executes dynamic conditionals, and writes standardized output to downstream templates.
• ETL Engine — Evolve the parsing library that handles complex Excel workbooks with nested headers, multi-tab structures, merged cells, and varied accounting system formats (ARES, GIC, DCS).
• Data Quality & Reliability — Improve prediction accuracy, expand audit logging, and ensure processing integrity across clients and document types.
• Architecture & Technical Leadership — Drive technical decisions on model serving infrastructure, database schema design, and API integration patterns with RealPage's Data Management Gateway (DMG). Provide mentorship and technical guidance to your direct report.
Qualifications:
Required:
• 5+ years Python development with production ML systems
• Strong experience with NLP / text classification — specifically training and fine-tuning transformer models (Hugging Face, TensorFlow) for document understanding tasks
• Deep proficiency with pandas, NumPy, SQLAlchemy, and PostgreSQL
• Experience building and maintaining ETL pipelines that process messy, semi-structured data (Excel, CSV) at scale
• Familiarity with ML model serving platforms (Wallaroo, SageMaker, Vertex AI, or similar) including OAuth2-based inference APIs
• Comfort operating as a technical lead — triaging bugs, shipping features, making architectural calls independently, and mentoring junior engineers
• Demonstrated ability to work across the full stack of a data platform: from raw file ingestion through model inference to API integration
Preferred:
• Domain experience in real estate finance, property management, or accounting data (chart of accounts, trial balances, rent rolls)
• Experience with SFTP-based file processing workflows and Paramiko
• Familiarity with dynamic code generation / evaluation patterns for configurable data transformations
• Background in document parsing / OCR / intelligent document processing
• Experience with SSH-tunneled database connections and multi-environment deployments
• Prior experience mentoring or leading a small team
Company:
RealPage is a provider of cloud-based software for managing multi-family real estate. Founded in 1998, the company is headquartered in Richardson, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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