ZipRecruiter

Log In

1

Contract Machine Learning Testing Jobs in Houston, TX

NobleAI

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 ...

Expand Energy

Sr. ML Ops Engineer

Spring, TX · On-site

$96K - $132K/yr

Participate in code reviews, testing, and deployment activities, adhering to SDLC best practices * Evaluate and recommend tools, patterns, and process improvements to enhance machine learning and ...

Raas Infotek LLC

AI/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

W2 Contract Location: Open / Hybrid / Remote Job Summary We are looking for a highly experienced Senior AI/ML Engineer with 10+ years of software engineering and machine learning experience to design ...

Chevron

AI Engineer

Houston, TX · On-site

$93K - $127K/yr

Design and develop AI and Machine Learning solutions. * Design and develop agentic solutions ... Apply software engineering best practices including testing, source control, architecture reviews ...

Chevron Corporation

AI Engineer

Houston, TX · On-site

... testing methodologies, CI/CD, etc. * Ability to engage business and technical experts at all organizational levels and assess opportunities to apply machine learning and analytics to improve their ...

New

Varsity Tutors

Data Science Tutor

Pearland, TX · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

previous pagenext page

Showing results 21-40

All JobsContract Machine Learning Testing JobsContract Machine Learning Testing Jobs in Houston, TX

Contract Machine Learning Testing information

See Houston, TX salary details

$13

$21

$29

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

As of Aug 20, 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 are popular job titles related to Contract Machine Learning Testing jobs in Houston, TX?

For Contract Machine Learning Testing jobs in Houston, TX, the most frequently searched job titles 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:

Contract Machine Learning Testing jobs near you

Lead Machine Learning Engineer

NobleAI

Houston, TX • On-site, Remote

$97K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

At NobleAI, we believe that energy, material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows, materials development, and chemical designs. We enable companies to accelerate innovation and reduce costs in developing sustainable technologies and products.
We're a team of excellence-driven individuals who value thoughtfulness and respect while focusing on delivering products that empower engineers and researchers to create better solutions faster.
At NobleAI, we are developing the next generation of intelligent chemical informatics platform. Our goal is to create a seamless, intuitive experience that empowers users to achieve unprecedented productivity in data processing, visualization, and model building. We are seeking a forward-thinking team member who thrives on innovation, collaboration, and rapid iteration, and has the ability to solve challenging problems in science and technology.
As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP platform. This role is ideal for individuals passionate about the cutting edge of LLMs and eager to build AI systems that can reason, plan, and act.
Join us in building a more sustainable world through the power of AI and scientific innovation.
Requirements
  • Design domain specific AI systems and chatbots capable of complex dialogue management and workflow execution via tools, API calls and multi step tasks based on user goals, multi-agent orchestration.
  • Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain specific data to support accuracy measurement for use cases
  • Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models.
  • Collaborate with product and software engineers to integrate the features into our platform.
  • Establish prompt engineering and data management best practices for transparency and governance.
  • Establish best practices for monitoring and evaluation of data and models across the model lifecycle (development, testing, and production)
  • Keep a pulse on the latest advancements in NLP, LLMs, and agentic AI research, and act as a subject matter expert on architecture decisions on platform and use cases.

What We're Looking For
  • MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of hands-on experience building and deploying AI/ML systems, with a strong focus on Natural Language Processing (NLP).
  • Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures.
  • Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow
  • Hands-on experience with LLM agent frameworks for building complex, tool-using applications, multi-agent orchestration, or establishing MCP services for platform capabilities.
  • Demonstrated experience with Retrieval-Augmented Generation (RAG), including the use of vector databases like Pinecone, Weaviate, or ChromaDB.
  • Familiarity with techniques for fine-tuning LLMs (e.g., LoRA/QLoRA) and experience working with open-source models (e.g., Llama, Mistral) or major model APIs (e.g., OpenAI, Anthropic).
  • 5+ years of experience with cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable microservices using Docker and Kubernetes (KFP, KServe).
  • Solid software engineering fundamentals, including version control (Git), automated testing, and CI/CD principles.
  • Excellent communication skills with the ability to articulate complex technical ideas to both technical and non-technical stakeholders.

Benefits
We offer great pay & benefits.
  • Top-tier health benefits coverage, including medical, dental, vision, disability and life insurance
  • Flexible paid time off & generous holidays
  • Remote-first with co-working access at Industrious offices
  • 401(k) with employer match
  • Equity package
  • Salary Range $190,000 - $205,000 (Depending on experience & Geographic location)
  • Performance-based bonus plan

Apply