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Entry Level Ai Data Trainer Jobs in Texas (NOW HIRING)

CirrusLabs

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

Responsibilities : • Collaborate with data modelers to prepare and optimize datasets for AI model training and inference. • Design and implement data pipelines that support AI/ML workflows ...

YO AI Labs

English Language Expert - Remote

Dallas, TX · Remote

$30 - $50/hr

Previous experience in AI data training, annotation, editorial QA, localization QA, or professional copyediting . * Experience evaluating AI-generated content or training data. * Strong hands-on ...

YO AI Labs

English Language Expert - Remote

Houston, TX · Remote

$30 - $50/hr

Previous experience in AI data training, annotation, editorial QA, localization QA, or professional copyediting . * Experience evaluating AI-generated content or training data. * Strong hands-on ...

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Entry Level Ai Data Trainer information

What does an entry level AI data trainer do?

An Entry Level AI Data Trainer is responsible for preparing, labeling, and organizing data that is used to train artificial intelligence models. This involves tasks such as categorizing images, annotating text, and ensuring that data is accurate and relevant for machine learning algorithms. They work closely with data scientists and engineers to improve the quality of AI systems by providing clean and well-labeled datasets. The role is a great way to start a career in artificial intelligence, as it offers hands-on experience with data and insights into how AI models are developed.

What are the key skills and qualifications needed to thrive as an entry level AI data trainer?

To thrive as an Entry Level AI Data Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of data annotation processes, often supported by a bachelor's degree in a related field. Familiarity with data labeling tools, content management systems, and basic programming or scripting (such as Python) is typically required. Excellent communication, teamwork, and adaptability help you effectively interpret guidelines and collaborate with cross-functional teams. These skills ensure high-quality data preparation, which is essential for developing accurate and reliable AI models.

What types of tasks and collaboration can I expect as an entry level AI data trainer?

As an Entry Level AI Data Trainer, you will primarily be responsible for labeling, annotating, and curating data sets to help improve machine learning models. Your daily tasks often include reviewing text, images, or audio and providing accurate labels according to detailed guidelines. You will frequently collaborate with data scientists, engineers, and other trainers to ensure consistency and quality in the data. This collaborative environment offers valuable exposure to the AI development process, and high performers often have opportunities to advance into more specialized roles over time.

What is the difference between Entry Level Ai Data Trainer vs Data Annotator?

AspectEntry Level Ai Data TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; no specialized certifications typically needed
Work EnvironmentOffice or remote; collaborative with AI teamsOffice or remote; focused on labeling data
Employer & Industry UsageTech companies, AI startups, research labsTech companies, data labeling services, AI firms

While both roles involve working with data, Entry Level Ai Data Trainers focus on training AI models by providing structured data and feedback, often requiring some technical understanding. Data Annotators primarily label and categorize data to prepare datasets for AI training. The roles are similar in work environment and industry but differ in responsibilities and skill requirements.

What are the most commonly searched types of Ai Data Trainer jobs in Texas?

The most popular types of Ai Data Trainer jobs in Texas are:

What are popular job titles related to Entry Level Ai Data Trainer jobs in Texas?

For Entry Level Ai Data Trainer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Trainer jobs in Texas look for?

The top searched job categories for Entry Level Ai Data Trainer jobs in Texas are:

Entry Level Ai Data Trainer jobs near you
Infographic showing various Entry Level Ai Data Trainer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

AI Data Engineer

Spring, TX • On-site

CirrusLabs
IT Services • 11 - 50 employees
Learn more about CirrusLabsexternal

$101K - $122K/yr

Full-time

Re-posted yesterday

Job description

Job Summary:
CirrusLabs is a niche digital transformation company dedicated to helping customers realize value through innovation. They are seeking an AI Data Engineer with expertise in data structures and AI/ML workflows, responsible for designing data pipelines, integrating AI analytics, and collaborating with data modelers to optimize datasets for AI model training.
Responsibilities:
• Collaborate with data modelers to prepare and optimize datasets for AI model training and inference.
• Design and implement data pipelines that support AI/ML workflows, including feature engineering and model monitoring.
• Integrate AI-powered analytics and predictive models into business intelligence tools like Power BI.
• Evaluate and implement AI services (e.g., Azure Cognitive Services, OpenAI, or custom ML models) to enhance data products and user experiences.
Qualifications:
Required:
• SQL, DBT, ADF, DAX, Power BI, Snowflake
• AI/ML Integration: Experience integrating AI/ML models into data pipelines and analytics platforms.
• Data Modeling: Hands-on experience in designing and implementing complex data models, with a strong understanding of normalization, denormalization, and schema designs such as star schema and snowflake schema.
• Ingestion Processes: Hands-on experience in developing and optimizing EL (Extract and Load) processes using ADF (Azure Data Factory).
• Data Transformation Processes: Hands-on experience in developing and optimizing DBT (Data Build Tool) models, including data testing.
• Data Warehousing: Understanding of data warehousing concepts and best practices, particularly with the Snowflake platform, including optimization strategies, query tuning, and clustering.
• Cloud Platforms: Experience with Azure, particularly in relation to data storage, integration, processing, and AI services.
• Programming Languages: Proficiency in SQL and DAX; familiarity with Python or R for AI/ML tasks is a plus.
• Visualization Expertise: Experience creating interactive and performant visualizations using Power BI, including designing and maintaining semantic models.
• AI Training & Development: Experience working with the data, systems, and architecture to train and develop new AI-powered analytics and functionality.
Preferred:
• Microsoft Certified: Azure AI Engineer Associate (Optional but valuable)
• AI-102: Designing and Implementing an Azure AI Solution (Recommended)
Company:
CirrusLabs is an IT company provides agile software delivery, automation, cloud Services, and IoT. Founded in 2005, the company is headquartered in Alpharetta, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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