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Entry Level Machine Learning Jobs in Houston, TX

Hertz

Tire and Lube Technician

Houston, TX · On-site

$16/hr

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

AMATROL

Assembly Technician

League City, TX · On-site

$19 - $21/hr

Familiarity with manufacturing processes (machining, welding, assembly, electrical) * Forklift ... Free access for our full eLearning library * Opportunity to advance your skills AND your pay!

Metal Zinc LLC

Manufacturing Associate

Tomball, TX · On-site

The Production Line Associate position ranges from entry level to a minimal amount of experience ... learning, working, performing manual tasks, caring for oneself, attending employment related ...

Metal Zinc LLC

Manufacturing Associate

Tomball, TX · On-site

The Production Line Associate position ranges from entry level to a minimal amount of experience ... learning, working, performing manual tasks, caring for oneself, attending employment related ...

84 Lumber Company

Manager Trainee

Houston, TX · On-site

$16/hr

The Manager Trainee is a full-time, entry-level position designed to prepare you for a leadership ... Manager Trainees must complete the learning plan and course of study as outlined within the ...

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All JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Houston, TX

Entry Level Machine Learning information

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How much do entry level machine learning jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for entry level machine learning in Houston, TX is $16.68, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $18.12 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Houston, TX? The most popular types of Machine Learning jobs in Houston, TX are:
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What cities near Houston, TX are hiring for Entry Level Machine Learning jobs? Cities near Houston, TX with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
AI Solutions Support Specialist

AI Solutions Support Specialist

AC Disaster Consulting

Houston, TX • Remote

$22/hr

Temporary

Posted 11 days ago

Job description

Introduction:

We are a leading, national consulting firm that provides compassionate, full-spectrum emergency management services including planning and preparedness, response, recovery, and mitigation services to the public and private sectors before, during and after a natural disaster or catastrophic event.

Our mission is to provide compassionate consulting services to local, state, federal, and industry clients, active in disaster response, recovery, and preparedness. We will be on time, on target, and on budget with the services aligned to the evolving threats and hazards facing our nation.

The position will be guided by ACDC's Corporate Values Platform in all activities.

Position Summary:

  • Job Title: AI Solutions Support Specialist
  • Full Time or Part Time: Full -Time (30+ hours per week)
  • Exempt/Non-Exempt: Non-exempt
  • Temporary/Seasonal/Regular: Temporary
  • Hourly/Salary: $22.00/hr
  • Travel/Location: Remote

Mission of Role/Position Summary:

The AI Solutions Support Specialist supports the Data, Technology & Innovation (DTI) team in the development and application of AI-driven tools and process improvements. This role focuses on assisting with the analysis, prototyping, and support of AI-enabled solutions that enhance internal operations and project-based workflows.

The position emphasizes practical application of AI technologies, such as automation, data analysis, and natural language processing, within defined business use cases. The specialist will work under the direction of the DTI team to support ongoing initiatives, contribute to solution development, and help ensure outputs are accurate, usable, and aligned with organizational needs.

This role is designed as a junior/entry-level technical support position within AI initiatives and does not involve independent ownership or deployment of production AI systems.

Tasks, Duties, and Responsibilities:

Reasonable accommodation will be made to enable individuals with disabilities to perform the following essential functions:

  • Support the DTI team in identifying opportunities to apply AI-driven solutions to improve business processes and workflow efficiency.
  • Assist in the design, prototyping, and support of AI tools and applications for internal and client-facing use cases.
  • Analyze existing workflows and operational processes to identify opportunities for automation and optimization.
  • Support data analysis efforts involving structured and unstructured data to generate insights and inform decision-making.
  • Assist in validating AI-generated outputs for accuracy, consistency, and usability.
  • Troubleshoot operational and technical issues related to AI-supported tools and workflows under team guidance.
  • Document processes, methodologies, assumptions, and findings to support transparency, repeatability, and continuous improvement.
  • Participate in cross-functional meetings to support collaboration and understand business needs.
  • Conduct research on emerging AI tools, frameworks, and best practices relevant to organizational objectives.
  • Maintain accurate records of work, documentation, and progress across assigned tasks and projects.
  • Perform other duties as assigned.

Knowledge, Skills, and Abilities:

Technical Knowledge:

  • Foundational understanding of AI concepts, including machine learning, natural language processing, and automation
  • Familiarity with data analysis concepts and tools
  • Awareness of AI-assisted workflows and practical business applications

Programming and Tools:

  • Basic experience with one or more of the following: Python, SQL, JavaScript/TypeScript, or R
  • Familiarity with data manipulation, scripting, or prototyping environments
  • Exposure to Microsoft 365 tools; familiarity with Power Platform or similar tools is a plus

AI Application & Governance:

  • Understanding of prompt engineering fundamentals and AI-assisted workflows
  • Awareness of responsible AI practices, including data privacy, confidentiality, and output validation
  • Ability to work within established governance and security guidelines

Analytical Skills:

  • Strong problem-solving and critical thinking skills
  • Ability to analyze workflows and identify efficiency improvements

Communication and Collaboration:

  • Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
  • Strong written documentation skills
  • Ability to work collaboratively in cross-functional environments

Organization and Execution:

  • Ability to manage time effectively and handle multiple tasks or projects
  • Strong attention to detail and accuracy in documentation and deliverables
  • Ability to follow direction and work independently within defined scope

Professionalism:

  • Demonstrates discretion when handling sensitive or confidential information
  • Adaptable to changing priorities and evolving business needs

Expected Hours of Work:

Schedule may vary. Work on evenings and weekends may be required. Dependability and punctuality are paramount.

Travel Requirements:

  • Must be willing to travel and deploy to client sites for extended periods of time.

Physical Demands:

  • Mobility required on-site with clients.
  • Sitting or standing for hours at a time.
  • Ability to work at a computer for extended periods of time if needed.
  • Ability to lift up to 15 lbs. repetitively throughout the day and as needed.

Working Environment:

  • All AC Disaster Consulting (ACDC) positions are remote work site positions with the home location agreed upon at time of hire.
  • If the remote work site locations change, ACDC Human Resources must be made aware, and leadership needs to approve any site changes for business registration and payroll tax purposes.

Workplace Health & Safety:

We are committed to fostering a safe and healthy workplace. Employees are expected to champion a culture of safety by complying with all health and safety policies and procedures, completing required training, identifying and reporting hazards, exercising sound judgment, and taking reasonable care to protect the health and safety of themselves, their colleagues, clients, and the communities we serve.

Requirements

Experience/Education Required:

  • Bachelor's degree (in progress or completed) in Computer Science, Data Science, Artificial Intelligence, Information Systems, Business Analytics, or a closely related field.
  • 1+ year experience with foundations of AI concepts such as machine learning, natural language processing, and automation
  • 1+ year experience with data analysis tools or platforms
  • 1+ year experience or coursework involving programming (e.g., Python, SQL, R, or similar)
  • Demonstrated proficiency in MS365.

Preferred Experience:

  • Reside within reasonable local daily commuting distance to Denver, CO. While this position is remote, some onsite work is required.
  • Educational GPA of 3.0 or higher from an accredited higher education program.
  • 1+ year experience with hands-on work with AI tools, labs, simulations, or applied coursework
  • 1+ year exposure to workflow automation, data analysis, or business process improvement
  • 1+ year experience working in team-based or cross-functional environments
  • 1+ year exposure to project coordination, documentation, or administrative support roles
  • Any experience participating in technical competitions or practical challenges (e.g., CCDC, NCL, hackathons)

Additional Qualifications:

  • Must be 18 years of age or older. 
  • Eligibility to work in the United States without employer sponsored visa is required. We are not able to employ those located outside of the US. 
  • Must pass company and any applicable client background check and reference check upon offer of employment.

Benefits

Temporary positions are not benefits eligible except where required by law.

EEO Statement

AC Disaster Consulting is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity, national origin, disability, or veteran status. 

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence,compensation,and training.AC Disaster Consultingwill not tolerate discrimination or harassment based on any protected characteristic. 

Please redact or remove information that identifies applicant's age, date of birth, or dates of attendance at (or graduation from) an educational institution from the resume or other application documents prior to submitting the application. 

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodation by contacting AC Disaster Consulting Human Resources team at hr@acdisaster.com. 

We use E-Verify for all candidates who are offered and accept a position with us. Please visit this link to theE-Verify Websiteand this link to view theE-Verify rights posterto understand your rights in this process. 

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