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Contract Machine Learning Testing Jobs in Houston, TX

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability). * Apply machine learning ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

... testing, and code review * 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

... testing, and code review * 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

... testing, and code review * 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production ...

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/yr

... testing, and code review • 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in ...

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Solid software engineering fundamentals, including version control (Git), automated testing, and CI ...

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Solid software engineering fundamentals, including version control (Git), automated testing, and CI ...

New

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Solid software engineering fundamentals, including version control (Git), automated testing, and CI ...

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Contract Machine Learning Testing information

See Houston, TX salary details

$13

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How much do contract machine learning testing jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for contract machine learning testing in Houston, TX is $21.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $24.33 per hour, depending on experience, location, and employer.

What is the difference between Contract Machine Learning Testing vs Contract Data Analyst?

AspectContract Machine Learning TestingContract Data Analyst
Required CredentialsKnowledge of ML algorithms, programming skills (Python, R), understanding of testing frameworksStatistical skills, data visualization, proficiency in SQL and Excel
Work EnvironmentTech companies, AI startups, consulting firmsBusiness intelligence teams, marketing agencies, finance firms
Employer & Industry UsagePrimarily in AI/ML development projects across tech and research sectorsData-driven decision making in various industries like finance, marketing, and healthcare

Contract Machine Learning Testing focuses on evaluating and validating ML models for accuracy and performance, requiring technical skills in algorithms and programming. Contract Data Analysts interpret data, generate reports, and support business decisions using statistical tools. While both roles involve working with data, Machine Learning Testing is more technical and specialized in AI models, whereas Data Analysts focus on broader data analysis and reporting.

What are the most commonly searched types of Machine Learning Testing jobs in Houston, TX? The most popular types of Machine Learning Testing jobs in Houston, TX are:
What job categories do people searching Contract Machine Learning Testing jobs in Houston, TX look for? The top searched job categories for Contract Machine Learning Testing jobs in Houston, TX are:

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 9 days ago


Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.