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Hugging Face Jobs in Texas (NOW HIRING)

Innovcentric LLC

AI Architect

Houston, TX · On-site

$90/hr

No GC (passport and visa copy required) Skills: • Experience with Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (e.g., Hugging Face Transformers, OpenAI GPT-3). • Knowledge of ...

Expert Technology Services

AI Engineer

San Antonio, TX · On-site

... Hugging Face) - Experience working with LLMs and GenAI applications (prompt engineering, RAG, vector databases) - Familiarity with MLOps or AI deployment practices (model versioning, monitoring, CI ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-Learn, Hugging Face). * Experience with cloud platforms (e.g., AWS, Azure, GCP) and ...

Goldenpick Technologies

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

AI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs * Data Tools (Optional): Pandas, NumPy, Spark * APIs & Microservices development

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How much do hugging face jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for hugging face in Texas is $14.40, according to ZipRecruiter salary data. Most workers in this role earn between $12.12 and $17.02 per hour, depending on experience, location, and employer.

Can you make money on Hugging Face?

Hugging Face is a platform that offers opportunities for data scientists, machine learning engineers, and developers to monetize their skills through jobs, freelance projects, or contributing to open-source models. Earning potential depends on the type of work, experience, and whether you are employed directly or working independently. Building a strong portfolio and expertise in NLP and AI tools can increase income opportunities on the platform.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability remain important for job security in an evolving technological landscape.

What are Hugging Face jobs?

Hugging Face jobs refer to employment opportunities at the company focused on developing and maintaining open-source machine learning tools, especially in natural language processing. Roles may include software engineering, research, data science, and product management, often requiring skills in Python, deep learning frameworks, and collaboration in a tech environment.

How much do Hugging Face engineers make?

Hugging Face engineers' salaries vary based on experience, role, and location, but generally range from $100,000 to $180,000 annually. Senior positions and specialized roles in machine learning or software engineering tend to offer higher compensation, often including stock options and benefits.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What are popular job titles related to Hugging Face jobs in Texas? For Hugging Face jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Texas look for? The top searched job categories for Hugging Face jobs in Texas are:
What cities in Texas are hiring for Hugging Face jobs? Cities in Texas with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $29,953 per year, or $14.4 per hour.
AI Architect

AI Architect

Innovcentric LLC

Houston, TX • On-site

$90/hr

Contractor

Re-posted 6 days ago

Job description

Role: AI Architect
Houston TX, hybrid or Remote| $90/hr C2C | Client: TCS | Exp:15+ yrs
Visa: No GC (passport and visa copy required)
 
Skills:
•Experience with Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (e.g., Hugging Face Transformers, OpenAI GPT-3).
•Knowledge of fine-tuning GenAI models for specific tasks and industries.
•Ability to design and implement GenAI solutions for various applications such as text generation, image generation, and conversational AI.
•Familiarity with techniques for training and deploying GenAI models.
•Experience in leveraging GenAI for tasks such as automated content creation and data augmentation.
•Strong programming skills in languages such as Python, R, or Scala.
•Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
•Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop).
•Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
•Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
•Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop).
•Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
 
#Request:apply only if you meet all requirements and can provide the requested documents (please don't ask for RTR without sharing required details)
careers@innovcentric.com 
Thank You.