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Freelance Agent Based Modeling Jobs in Spring, TX

Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency. NLP & Agent-Based AI Applications * Build LLM-powered solutions using prompt ...

AWS ML Ops Engineer

Houston, TX

$50.25 - $69/hr

... agent-based (agentic) systems and workflows Write and deploy production-ready agent code Support MLOps processes, including model deployment, monitoring, and iteration Define and manage ...

AI Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Design end-to-end AI systems, including retrieval-based architectures, agent-based orchestration, and multi-model workflows in production environments. * Partner with business and back-office teams ...

AI Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Design end-to-end AI systems, including retrieval-based architectures, agent-based orchestration, and multi-model workflows in production environments. * Partner with business and back-office teams ...

Legal Counsel - Freelance

Houston, TX · Remote

$100 - $120/hr

We partner with independent contractors to support large-scale model evaluation, alignment, and ... Project duration varies based on client needs and demand. When we receive projects that match your ...

We partner with independent contractors to support large-scale model evaluation, alignment, and ... Project duration varies based on client needs and demand. When we receive projects that match your ...

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Freelance Agent Based Modeling information

See Spring, TX salary details

$13

$42

$117

How much do freelance agent based modeling jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for freelance agent based modeling in Spring, TX is $42.45, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $55.00 per hour, depending on experience, location, and employer.

What is the difference between Freelance Agent Based Modeling vs Freelance Data Analyst?

AspectFreelance Agent Based ModelingFreelance Data Analyst
CredentialsBackground in modeling, simulation, or computational sciencesBackground in statistics, data analysis, or related fields
Work EnvironmentProject-based, often remote, involving simulation softwareRemote or on-site, analyzing datasets and generating reports
Industry UsageResearch, academia, complex system modelingBusiness, marketing, finance, healthcare

Freelance Agent Based Modeling focuses on creating simulations of individual agents within systems, requiring specialized modeling skills. In contrast, Freelance Data Analysts interpret existing data to inform decisions. Both roles are project-based and often remote but serve different industry needs and require distinct skill sets.

What are popular job titles related to Freelance Agent Based Modeling jobs in Spring, TX? For Freelance Agent Based Modeling jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Freelance Agent Based Modeling jobs in Spring, TX look for? The top searched job categories for Freelance Agent Based Modeling jobs in Spring, TX are:

Principal Scientist, Data

Augment

Houston, TX

$80 - $83/hr

Other

Posted 3 days ago


Job description

Job Title: Data Scientist – AI/ML Focus
Worksite: Onsite Monday–Thursday (Mandatory) – Houston, TX

Must-Have Technologies: Snowflake, SQL, Palantir (or similar data decision/operational AI platform)

Position Summary

We are seeking a highly curious, proactive, and innovative Data Scientist with deep experience in AI/ML, NLP, and Large Language Models (LLMs). The ideal candidate will excel at blending complex datasets, building predictive and statistical models, and delivering AI-driven solutions that create measurable business impact.

This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy, and optimize AI applications within a real-world operational environment. You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies.

Key Responsibilities

AI/ML Model Development

  • Design, train, fine-tune, and evaluate machine learning and deep learning models—including LLMs—for predictive analytics and automated decision-making.

Data Engineering & Feature Development

  • Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency.

NLP & Agent-Based AI Applications

  • Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures.

Business Decision Support

  • Convert statistical and ML findings into practical insights and recommendations that support strategic decisions.

End-to-End Deployment (MLOps)

  • Implement, deploy, and monitor ML models using best practices for reliability, scalability, and performance.

Data Storytelling & Communication

  • Create dashboards, visualizations, and presentations that clearly communicate insights to non-technical stakeholders.

Required Skills & Experience

Technical Expertise

  • Hands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Advanced SQL skills and experience integrating data from multiple sources.
  • Experience with Snowflake, AWS (SageMaker, S3, Redshift), and automated ML pipelines.
  • Strong understanding of version control (Git) and collaborative development.

Soft Skills

  • Highly curious, innovative, and growth-oriented mindset.
  • Ability to drive projects independently from ideation to deployment.
  • Strong business acumen with the ability to align technical output to business needs.
  • Excellent communication skills with the ability to simplify technical concepts.

Preferred Qualifications

  • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
  • Experience using BI or model-monitoring tools (Power BI, Dash, Streamlit).
  • Familiarity with reinforcement learning or agent-based AI systems.

Why This Role?

This opportunity is ideal for a Data Scientist who wants to work at the forefront of AI innovation—building advanced LLM-based solutions, deploying operational ML models, and driving real business impact within a forward-thinking organization.

Job Type: Full-time

Work Location: In person