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Hugging Face Jobs in Arizona (NOW HIRING)

The University of Arizona

req26245

Tucson, AZ · On-site

Experience with PyTorch, Librosa, Hugging Face models. * Strong problem-solving skills and the ability to work independently. * Ability to analyze data and provide solutions. * Strong written and ...

Arkhya Tech

GenAI Solutions Leader

Phoenix, AZ

Hands-on with GenAI and agentic AI (LLMs, diffusion models, RAG, tool use/agents); familiarity with OpenAI Azure, Hugging Face, LangChain/LangGraph, ADK, vector databases. Experience with MLOps ...

Forhyre

Prompt Engineers

Phoenix, AZ

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Tata Consultancy Service Limited

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

... Hugging Face. • Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases • Experience with cloud platforms (AWS, Azure AI ...

Apptad Inc

Senior AI Engineer at Phoenix, AZ

Phoenix, AZ · On-site

$55 - $60/hr

Experience with Hugging Face, PyTorch, or ML model deployment * Contributions to AI/ML or open-source projects What Makes This Role Unique * Work on cutting-edge Agentic AI systems * High ownership ...

Tata Consultancy Service Limited

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

... Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow • Strong schema, validation, and state management practices using tools such as Pydantic ...

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow * Strong schema, validation, and state management ...

Cengage Group

AI/ML Engineer - Higher Ed

Phoenix, AZ · On-site

OpenAI API, Anthropic API, AWS Bedrock, LangChain, LlamaIndex, Hugging Face * Vector DBs: Pinecone, Weaviate, pgvector, Chroma * Cloud: AWS (Lambda, ECS, SageMaker, Bedrock), Azure OpenAI * Data:

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How much do hugging face jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for hugging face in Arizona 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.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, software developers, and educators, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced decision-making, and specialized skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

What job makes $10,000 a month without a degree?

High-paying roles that can earn $10,000 a month without a degree include skilled trades such as commercial diving, certain sales positions like real estate or software sales, and specialized tech roles like web development or cybersecurity, which often value skills and certifications over formal education. Success in these jobs typically requires experience, technical skills, or industry certifications, and they may involve self-employment or freelance work.

What jobs pay $2000 a day?

High-paying jobs that can pay around $2000 a day often include specialized roles such as senior software engineers, data scientists, management consultants, and certain freelance or contract positions in finance, law, or technology. These roles typically require advanced skills, extensive experience, and sometimes certifications, and may involve project-based or consulting work with flexible schedules.

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.

How much does Hugging Face pay?

Salaries at Hugging Face vary depending on the role, experience, and location, but the company generally offers competitive compensation for AI and machine learning positions. Entry-level roles may start around $80,000 annually, while more experienced engineers and researchers can earn over $150,000 per year. Benefits often include flexible schedules, remote work options, and opportunities to work with cutting-edge NLP tools.
What are popular job titles related to Hugging Face jobs in Arizona? For Hugging Face jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Arizona look for? The top searched job categories for Hugging Face jobs in Arizona are:
What cities in Arizona are hiring for Hugging Face jobs? Cities in Arizona with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Arizona as of June 2026, with employment types broken down into 14% As Needed, 46% Full Time, 3% Part Time, 22% Temporary, 14% Nights, and 1% Summer. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $29,961 per year, or $14.4 per hour.
req26245

req26245

The University of Arizona

Tucson, AZ • On-site

Other

This job post has expired today. Applications are no longer accepted.

University Of Arizona rating

7.1

Company rating: 7.1 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

351st of 539 rated colleges and universities

Job description

Technical Development Assistance:

  • Troubleshoot technical issues related to the implementation ofautomated pronunciation assessment tools.
  • Apply machine learning and speech modeling techniques toanalyze speech data and detect potential speech difficulties.
  •  With supervisor oversight, process and analyze childspeech recordings, includingaudio preprocessing and metadata organization.
  •  Assist with the extraction of acoustic and phoneticfeatures from adult speech data for use with children's speech data to adaptand fine-tune models for analyzing children's pronunciation.

Metric Design Support:

  • Using established procedures, support the design andevaluation of scoring metrics such as phoneme accuracy, normalized edit distance, syllable-level correctness,item-level pass/fail scores, and pronunciation quality scores.
  • Ensuring integrity of data is correct by performingquality assurance checks and resolving discrepancies in the data.

Research Support:

  • Collaborate with supervisors and research teams to aligndevelopment with educational goals.
  • Contribute to research documentation and proposal writing.

Knowledge,Skills, and Abilities (KSAs):

  • Proficiency in Python, speech/audio processing, andmachine learning.
  • Experience with PyTorch, Librosa, Hugging Face models.
  • Strong problem-solving skills and the ability to work independently.
  • Ability to analyze data and provide solutions.
  • Strong written and verbal communication skills.
  • Ability to communicate effectively with interdisciplinaryteams.

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