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Full Time Machine Learning Data Annotation Jobs in Dallas, TX

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...

Confie

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 ...

Yum

Machine Learning Engineer II

Plano, TX · On-site

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 ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

You'll work with large-scale image and video data, building and optimizing production-grade vision ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

New

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for modeling ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection. Data Engineering and Preparation: * Extend and ...

Yum Brands

Machine Learning Engineer II

Plano, TX

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... data streaming. * Experience working with containerization technologies such as Docker and ...

Yum! Brands

Machine Learning Engineer II

Plano, TX

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... data streaming. * Experience working with containerization technologies such as Docker and ...

Topgolf

Data Engineer II

Dallas, TX · On-site

$105K - $126K/yr

Prepare and deliver datasets for machine learning models for Forecasting usecases. * Implement CI ... Employment Type: FULL_TIME

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Dallas, TX

Full Time Machine Learning Data Annotation information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

How much do full time machine learning data annotation jobs pay per year?

As of Jul 17, 2026, the average yearly pay for full time machine learning data annotation in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Dallas, TX? The most popular types of Machine Learning Data Annotation jobs in Dallas, TX are:
What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Dallas, TX? For Full Time Machine Learning Data Annotation jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Dallas, TX look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Full Time Machine Learning Data Annotation jobs? Cities near Dallas, TX with the most Full Time Machine Learning Data Annotation job openings:
Full Time Machine Learning Data Annotation jobs near you
Infographic showing various Full Time Machine Learning Data Annotation job openings in Dallas, TX as of July 2026, with employment types broken down into 2% Locum Tenens, 34% Full Time, 14% Part Time, 15% Contract, 34% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $121,417 per year, or $58.4 per hour.
Machine Learning & Data Platform Engineer

Machine Learning & Data Platform Engineer

RealPage, Inc.

Richardson, TX • On-site

$104K - $124K/yr

Full-time

Posted 6 days ago

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

189th of 209 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 the leading global provider of AI-enabled software platforms to the real estate industry. 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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