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Artificial Intelligence Machine Learning Jobs in Spring, TX

AI Automation Analyst

Spring, TX · On-site

$130K - $150K/yr

Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools * Hands-on experience using AI for document analysis, text summarization, and data extraction * Basic ...

Patent Agent

Houston, TX

$140K - $240K/yr

Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging, and Signal Processing. This ...

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence, and machine learning to apply advanced analytics in business contexts. Qualifications : Required ...

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

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Artificial Intelligence Machine Learning information

See Spring, TX salary details

$12

$23

$43

How much do artificial intelligence machine learning jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for artificial intelligence machine learning in Spring, TX is $23.45, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $24.81 per hour, depending on experience, location, and employer.

Is AI machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals. Careers in this area often require knowledge of programming languages like Python, data analysis, and understanding of algorithms, offering strong job prospects and competitive salaries.

What is an Artificial Intelligence Machine Learning job?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What are some typical projects or tasks an Artificial Intelligence Machine Learning professional might work on?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Machine Learning position, and why are they important?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

What is AI ML salary?

The salary for artificial intelligence and machine learning professionals varies based on experience, location, and skill level, but typically ranges from $80,000 to over $150,000 annually. Entry-level roles may start around $70,000, while experienced specialists with advanced skills in deep learning, data analysis, and programming can earn higher salaries, especially in tech hubs or companies with specialized AI projects.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Deep Learning Engineer, and AI Research Scientist. These positions typically require knowledge of programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of algorithms and data analysis.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record in AI development.
What are popular job titles related to Artificial Intelligence Machine Learning jobs in Spring, TX? For Artificial Intelligence Machine Learning jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning jobs in Spring, TX look for? The top searched job categories for Artificial Intelligence Machine Learning jobs in Spring, TX are:
What cities near Spring, TX are hiring for Artificial Intelligence Machine Learning jobs? Cities near Spring, TX with the most Artificial Intelligence Machine Learning job openings:
Infographic showing various Artificial Intelligence Machine Learning job openings in Spring, TX as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $48,769 per year, or $23.4 per hour.

AI Automation Analyst

Diablo Convoy

Spring, TX • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 26 days ago

Be an early applicant


Job description

Location: In-Office
Employment Type: Full-time
Benefits: Medical, Dental, Vision, 401K
Experience Level: Mid-level

Overview: 
We are seeking a detail-oriented  AI Analyst / AI Automation Specialist to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on using artificial intelligence tools, prompt engineering techniques, and structured workflows to analyze large volumes of unstructured data and produce accurate, actionable outputs.
This position is ideal for candidates early in their careers with hands-on experience using AI tools and a strong interest in automation, analytics, and AI-assisted reporting.

Key Responsibilities: 
  • Use AI tools and large language models (LLMs) to summarize, classify, and analyze unstructured documents
  • Apply prompt engineering techniques to generate consistent, repeatable AI outputs
  • Assist in building and maintaining AI automation workflows for reporting and analysis
  • Review, validate, and refine AI-generated content to ensure accuracy and data integrity
  • Support creation of AI-generated visual content, diagrams, and concept imagery
  • Assist with AI-supported floor plan, layout, or spatial analysis projects
  • Collaborate with cross-functional teams to support AI-powered reporting needs
  • Document workflows, prompts, and processes for repeatable use and continuous improvement

Required Qualifications (Must-Have): 
  • Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools
  • Hands-on experience using AI for document analysis, text summarization, and data extraction
  • Basic understanding of prompt engineering and structured prompting techniques
  • Strong written communication, analytical skills, and attention to detail
  • Ability to review AI outputs for quality assurance and make necessary adjustments
  • Strong organizational skills and ability to follow defined workflows