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Part Time Machine Learning Research Scientist Jobs in Houston, TX

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Houston, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Pearland, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Sugar Land, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Part Time Machine Learning Research Scientist information

See Houston, TX salary details

$48.2K

$124.3K

$166.2K

How much do part time machine learning research scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for part time machine learning research scientist in Houston, TX is $124,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $165,200.00 per year, depending on experience, location, and employer.

What does a part time machine learning research scientist do?

A Part Time Machine Learning Research Scientist conducts research and development in the field of machine learning while working less than full-time hours. Their responsibilities typically include designing experiments, analyzing data, developing new algorithms, and collaborating with other researchers or engineers. They often work on specific projects or problems, contributing their expertise in machine learning to advance knowledge or improve products. This role allows for flexible scheduling, making it suitable for students, professionals with other commitments, or those seeking a better work-life balance.

What are the key skills and qualifications needed to thrive as a part time machine learning research scientist?

To thrive as a Part Time Machine Learning Research Scientist, you typically need strong skills in mathematics, statistics, and programming (especially Python), as well as an advanced degree in a relevant field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with version control systems, and knowledge of data preprocessing tools are essential. Critical thinking, effective communication, and time management are important soft skills for succeeding in a flexible, research-driven environment. These abilities enable you to develop innovative models, collaborate efficiently, and contribute meaningful insights while balancing part-time responsibilities.

How does working part-time as a machine learning research scientist impact collaboration and project involvement?

As a part-time Machine Learning Research Scientist, you’ll typically coordinate closely with full-time team members to ensure smooth project handoffs and clear communication. While you may have a more flexible schedule, regular check-ins and collaborative meetings are essential to stay aligned with research goals and ongoing experiments. You may focus on specific research components or model development tasks that fit within your available hours, and it’s common to leverage digital tools for asynchronous collaboration. This structure allows you to contribute meaningfully while balancing other commitments, but staying proactive about updates and documentation is key to effective teamwork.

What cities near Houston, TX are hiring for Part Time Machine Learning Research Scientist jobs?

Cities near Houston, TX with the most Part Time Machine Learning Research Scientist job openings:

Infographic showing various Part Time Machine Learning Research Scientist job openings in Houston, TX as of August 2026, with employment types broken down into 20% Full Time, and 80% Part Time. Highlights an 100% In-person job distribution, with an average salary of $124,258 per year, or $59.7 per hour.

Product Manager (Specialized in Machine Learning)

Carter Support Services

Houston, TX • On-site

Part-time

Re-posted 2 days ago


Job description

Product Manager (Machine Learning)
Company: Carter Support Services
Location: Houston
Position Summary
We are seeking a Product Manager with deep experience in machine learning-driven products to lead the strategy, development, and lifecycle of ML-powered solutions. This role sits at the intersection of business, data science, engineering, and user experience, translating complex machine learning capabilities into scalable, valuable, and user-friendly products.
The ideal candidate understands both product management fundamentals and machine learning concepts, and can effectively guide teams through experimentation, model iteration, and production deployment while keeping a strong focus on customer outcomes and business impact.
Key Responsibilities
  • Define product vision, strategy, and roadmap for machine learning-based products
  • Translate business problems into ML product requirements and measurable success metrics
  • Partner closely with data science and engineering teams to guide model development, training, evaluation, and deployment
  • Own product discovery, including user research, hypothesis testing, and experimentation
  • Define and prioritize features using data, experimentation results, and business impact
  • Establish KPIs for ML products, including model performance, business outcomes, and user adoption
  • Manage product lifecycle from concept through launch, iteration, and scale
  • Communicate product strategy and progress to stakeholders and executive leadership
  • Ensure responsible AI practices, including fairness, transparency, and compliance considerations
Required Qualifications
  • 4+ years of product management experience, with at least 2 years working on machine learning or data-driven products
  • Strong understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation, training pipelines)
  • Experience working with data scientists, ML engineers, and software engineers
  • Ability to translate technical concepts into clear product requirements and user value
  • Experience defining success metrics and using data to drive product decisions
  • Excellent communication, stakeholder management, and prioritization skills
Preferred Qualifications
  • Experience launching ML products into production at scale
  • Familiarity with MLOps practices and model lifecycle management
  • Experience with cloud-based ML platforms (AWS, GCP, Azure)
  • Background in AI-driven products such as recommendations, forecasting, NLP, or computer vision
  • Knowledge of regulatory, ethical, and responsible AI considerations
Core Competencies
  • Strategic thinking with strong execution focus
  • Data-driven decision making
  • Customer-centric mindset
  • Ability to manage ambiguity and complex problem spaces
  • Strong cross-functional leadership
Why Join Us
  • Build innovative products powered by cutting-edge machine learning
  • Work closely with talented data science and engineering teams
  • High ownership and visibility across the organization
  • Competitive compensation, benefits, and growth opportunities