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Remote Machine Learning Jobs in Port Neches, TX (NOW HIRING)

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Port Neches, TX

Remote Machine Learning information

See Port Neches, TX salary details

$22.7K

$38K

$78.5K

How much do remote machine learning jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote machine learning in Port Neches, TX is $37,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,000.00 and $41,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What cities near Port Neches, TX are hiring for Remote Machine Learning jobs? Cities near Port Neches, TX with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Port Neches, TX as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $37,977 per year, or $18.3 per hour.

Adjunct Instructor - General Education

Lamar Institute of Technology

Beaumont, TX • On-site, Remote

Part-time

Re-posted 26 days ago

Job description

Salary: Depends on Qualifications
Location : Main Campus
Job Type: Adjunct
Remote Employment: Flexible/Hybrid
Job Number: 202500004
Department: General Education
Opening Date: 10/10/2025
FLSA: Exempt
  • Lamar Institute of Technology is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including and as it pertains to pregnancy and wages), national origin, disability, age, genetic information, protected veteran status, and/or retaliation.
  • LIT's is provided in compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (20 USC § 1092(f), 34 CFR
    668.46). This report contains information regarding campus safety and security including topics such as: campus law enforcement authority; crime reporting policies; campus alerts
    (Timely Warnings and Emergency Notifications); programs to prevent dating violence, domestic violence, sexual assault and stalking; the procedures the Institute will follow when one of these crimes is reported; and other matters of importance related to security on campus. The report also contains information about crime statistics for the three most recent
    calendar years concerning reported crimes that occurred on campus; in non-campus buildings or property owned or controlled by the Institute or a recognized student
    organization; and on public property within, or immediately adjacent to and accessible from, the campus. If you would like to receive a paper copy of the Annual Security Report, you can
    stop by Lamar Institute of Technology, Eagles' Nest building at 855 East Lavaca, Beaumont, TX, 77705, or you can request that a copy be mailed to you by calling 409-247-4838 or emailing titleix@lit.edu.
  • If you have questions, please email the Human Resources department at hr@lit.edu or call 409-981-6824.
Job Summary
The Adjunct Instructor's responsibilities include, but are not limited to, providing instruction for students enrolled in courses within the General Education department at Lamar Institute of Technology, including dual credit high school students. Courses and programs within the GEDS department include:
  • Childcare and Development
  • College Success Skills (DORI)
  • English
  • Government/Political Science
  • History
  • Humanities
  • Math
  • Philosophy
  • Psychology
  • Sociology
  • Speech and Communications

Adjunct Instructors must be qualified and competent to teach applicable courses within the degree and certificate programs - requirements vary. Hours vary depending on the need and course schedule and may include day, evening, and/or weekend classes, including online. Flexible scheduling and online work arrangements are available (depending upon course type and configuration). This is an exempt position.
Duties/Responsibilities
  • Teach courses as scheduled and actively engage students in the learning process
  • Demonstrate commitment to teaching and supporting diverse student populations, including traditional, non-traditional, and dual credit students.
  • Maintain ethical and professional behavior
  • Attend adjunct faculty meetings
  • Assess courses on departmental and institutional levels
  • Complete required training, such as Blackboard Online Instructor Certification and Title IX Training, etc.
  • Utilize LIT's Teaching and Learning Center (TLC) and Sam Houston State University (SHSU) Faculty Online Development Training to continually hone and improve professional knowledge and teaching skills
  • Maintain knowledge of and adherence to the policies and procedures contained in the TSUS and LIT Policies and Procedures Manual
  • Other related duties as assigned

Minimum/Preferred Qualifications
Minimum Qualifications:
  • Master's degree with at least 18 credit hours of related coursework in the applicable subject is required for transferrable courses. An associate degree may be accepted for the Childcare and Development program. A bachelor's degree with teaching experience is required for DORI classes.
  • Work experience in the specifically-targeted program or related field
  • Working knowledge of Microsoft Office applications
  • Knowledge of teaching methodologies/pedagogical strategies
  • Possess good verbal and written communication skills
  • Possess good time management skills

Preferred Qualifications:
  • Master's degree in related coursework
  • Experience teaching in higher education
  • Related field and/or industry certifications

Supplemental Information
Physical Requirements:
This position requires the ability to: remain in a stationary position for most of the time; occasionally move about inside an office to access documents, office equipment, etc.; constantly operate a computer or other office equipment, such as a printer or copy machine.
  • Lamar Institute of Technology is an E-Verify Employer.
  • This position is security-sensitive and thereby subject to the provisions of the Texas Education Code §51.215, which authorizes the employer to obtain criminal history record
    information. Click for the Security Sensitive Release Form.

This position is not eligible for benefits.
01
What is the highest level of education you have achieved?
  • High school diploma or the equivalent (GED)
  • Associate degree
  • Bachelor's degree
  • Master's degree
  • Professional degree such as Law or Medicine
  • Doctorate degree or Ph.D.

02
In what subject(s) did you receive your degree(s)?
03
How many years of teaching experience do you have?
  • No experience
  • 0-2 years
  • 2-4 years
  • 5 or more years

04
In what subject or academic area are you applying for and qualified to be an instructor?
  • Childcare and Development
  • College Success Skills (DORI)
  • English
  • Government/Political Science
  • History
  • Humanities
  • Math
  • Philosophy
  • Psychology
  • Sociology
  • Speech/Communications

Required Question

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