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Machine Learning Data Linguist Jobs in Forney, TX

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 ...

You will partner closely with Product Management, Data Science, Machine Learning Engineering, Search Engineering, Customer Experience, and senior technology leaders to deliver strategic initiatives ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ...

Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments. * Work with DevOps teams to automate deployment processes ...

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Machine Learning Data Linguist information

See Forney, TX salary details

$46.8K

$66.1K

$86K

How much do machine learning data linguist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning data linguist in Forney, TX is $66,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $71,200.00 per year, depending on experience, location, and employer.

What is a machine learning data linguist?

A Machine Learning Data Linguist is a specialist who works at the intersection of linguistics and artificial intelligence. They are responsible for annotating, curating, and analyzing language data to train and improve machine learning models, especially those focused on natural language processing (NLP). Their work often includes tasks like labeling text, refining speech recognition data, and ensuring that language models understand context, grammar, and cultural nuances. This role is essential in developing accurate and inclusive AI systems that interact with human language.

How does a machine learning data linguist typically collaborate with engineers and data scientists on projects?

A Machine Learning Data Linguist works closely with engineers and data scientists by providing linguistic insights and ensuring that language data is accurately annotated and interpreted. They often participate in cross-functional meetings to define project goals, clarify annotation guidelines, and review model outputs for linguistic quality. This collaboration helps bridge the gap between technical development and language-specific nuances, leading to more effective and culturally accurate machine learning models. Effective communication and a strong understanding of both linguistic theory and technical requirements are vital in this collaborative environment.

What are the key skills and qualifications needed to thrive as a machine learning data linguist, and why are they important?

To thrive as a Machine Learning Data Linguist, you need expertise in linguistics, data annotation, and a strong understanding of language structures, often supported by a degree in linguistics or computational linguistics. Familiarity with annotation tools, data labeling platforms, and programming languages like Python is typically required. Strong attention to detail, analytical thinking, and clear communication are essential soft skills for accurately interpreting and conveying linguistic phenomena. These skills ensure high-quality language data, which is critical for developing effective and unbiased machine learning models.

What job categories do people searching Machine Learning Data Linguist jobs in Forney, TX look for?

The top searched job categories for Machine Learning Data Linguist jobs in Forney, TX are:

What cities near Forney, TX are hiring for Machine Learning Data Linguist jobs?

Cities near Forney, TX with the most Machine Learning Data Linguist job openings:

Infographic showing various Machine Learning Data Linguist job openings in Forney, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $66,098 per year, or $31.8 per hour.

Machine Learning & Data Platform Engineer

Realpage

Richardson, TX • On-site

$104K - $124K/yr

Full-time

Re-posted 8 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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