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Artificial Intelligence Data Annotation Jobs in Dallas, TX

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. * 10+ years of hands-on experience in Artificial Intelligence, Machine ...

Winaxis

AI Engineer

Dallas, TX · On-site

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field. * 0-3 years of experience in AI, Machine Learning, or Software Development ...

Dlapiper

Data Scientist

Dallas, TX · On-site +1

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Applies the principles of artificial intelligence, database systems, human/computer interaction ...

Sarian, Inc.

Data Scientist

Addison, TX · On-site

JD: * 7+ yrs of experience as data scientist or related roles. * Deep understanding and some ... Artificial intelligence/Machine learning.

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All JobsArtificial Intelligence Data Annotation JobsArtificial Intelligence Data Annotation Jobs in Dallas, TX

Artificial Intelligence Data Annotation information

See Dallas, TX salary details

$24.2K

$96.3K

$187K

How much do artificial intelligence data annotation jobs pay per year?

As of Sep 2, 2026, the average yearly pay for artificial intelligence data annotation in Dallas, TX is $96,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,898.00 and $134,695.00 per year, depending on experience, location, and employer.

What is an artificial intelligence data annotation?

An Artificial Intelligence Data Annotation job involves labeling, tagging, or categorizing data such as text, images, audio, or video to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include bounding box annotation, sentiment analysis, transcription, or entity recognition, depending on the AI application. This role is essential in industries like autonomous vehicles, healthcare, and natural language processing. Attention to detail and familiarity with annotation tools are key skills for this job.

What does an artificial intelligence data annotation do?

Daily responsibilities for an Artificial Intelligence Data Annotation professional typically include reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them according to project guidelines. You may also participate in quality assurance checks, provide feedback to improve annotation processes, and collaborate with data scientists or project managers to clarify labeling standards. Most annotation work requires maintaining strict attention to detail and meeting production quotas or deadlines. Work is often structured individually but may involve collaboration within a larger team, especially when aligning on new guidelines or best practices. This structured, detail-oriented environment supports the development of high-quality training data for AI systems.

What are the key skills and qualifications needed to thrive in artificial intelligence data annotation?

To thrive as an Artificial Intelligence Data Annotation specialist, you need strong attention to detail, proficiency in data labeling, and a basic understanding of machine learning concepts, often supported by a high school diploma or higher. Familiarity with annotation platforms (such as Labelbox or CVAT), spreadsheet software, and sometimes knowledge of programming basics or data formats (like CSV or JSON) is beneficial. Strong communication skills, consistency, and the ability to work both independently and collaboratively are key soft skills for this role. These competencies ensure high-quality, accurate datasets that are critical for training reliable AI models.

What are artificial intelligence data annotation jobs?

Artificial intelligence data annotation jobs involve labeling and categorizing data such as images, videos, text, or audio to help train machine learning models. These roles require attention to detail and often involve using specialized tools or platforms, with tasks typically performed remotely and on flexible schedules.

What are popular job titles related to Artificial Intelligence Data Annotation jobs in Dallas, TX?

For Artificial Intelligence Data Annotation jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Data Annotation jobs in Dallas, TX look for?

The top searched job categories for Artificial Intelligence Data Annotation jobs in Dallas, TX are:

Artificial Intelligence Data Annotation jobs near you
Infographic showing various Artificial Intelligence Data Annotation job openings in Dallas, 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,263 per year, or $46.3 per hour.

AI/ML Engineer

Winaxis

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 16 days ago

Job description

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with: LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)