1

Hourly Advanced Ai Data Trainer Jobs in Spring, TX

Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder engagement. * Collaborate with distributed teams of engineers, data scientists, product owners ...

We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company. As a Data Scientist focused on ...

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company. As a Data Scientist focused on ...

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... of advanced AI-driven solutions. The ideal candidate will have over a decade of expertise in AI, machine learning, data mining, NLP, and predictive analytics, with proven success in architecting ...

Senior AI Data Scientist

Houston, TX · On-site

$140 - $210/hr

Own deep learning and agentic AI initiatives end to end, from problem framing and data exploration ... Perform advanced data mining, simulation, feature engineering, and analysis on large and complex ...

next page

Showing results 1-20

Hourly Advanced Ai Data Trainer information

See Spring, TX salary details

$11

$27

$56

How much do hourly advanced ai data trainer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for hourly advanced ai data trainer in Spring, TX is $27.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $31.68 per hour, depending on experience, location, and employer.

What is the difference between Hourly Advanced Ai Data Trainer vs Data Analyst?

AspectHourly Advanced Ai Data TrainerData Analyst
Required CredentialsRelevant certifications in AI, data science, or machine learning; often includes specialized trainingBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentRemote or on-site, focused on training AI models, data labeling, and model validationOffice or remote, analyzing datasets, creating reports, and providing insights
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, marketing, and various industries requiring data insights

While both roles involve working with data, the Hourly Advanced Ai Data Trainer specializes in training AI models and data labeling, often requiring AI-specific certifications. Data Analysts focus on interpreting data, creating reports, and providing insights across industries. The roles differ mainly in their focus on AI training versus data analysis, though they share foundational data skills.

How do hourly advanced AI data trainers typically collaborate with engineering and data science teams to ensure data quality?

Hourly Advanced AI Data Trainers often work closely with engineering and data science teams to clarify annotation guidelines, resolve ambiguous cases, and provide feedback on data quality. Regular sync meetings or communication via project management tools are common, ensuring that trainers' insights help improve model training and accuracy. This collaboration fosters a shared understanding of project goals and enables prompt resolution of any data-related challenges, making the workflow more efficient and robust.

What are the key skills and qualifications needed to thrive as an hourly advanced AI data trainer, and why are they important?

To thrive as an Hourly Advanced AI Data Trainer, you generally need expertise in data annotation, a solid understanding of AI/ML concepts, and strong analytical skills, often supported by a relevant degree or experience in computer science or linguistics. Familiarity with annotation platforms, data labeling tools, and sometimes programming languages like Python is typically expected. Attention to detail, effective communication, and the ability to follow complex guidelines are crucial soft skills for excelling in this role. These skills ensure high-quality, accurate data that directly impacts the performance and reliability of AI models.

What is an hourly advanced AI data trainer?

An Hourly Advanced AI Data Trainer is a professional who works on labeling, annotating, and refining data to train advanced artificial intelligence models. They use specialized tools and follow detailed guidelines to ensure that data fed to AI systems is accurate and relevant. This role often involves reviewing large sets of text, images, or other data types, identifying patterns, and correcting errors to improve AI performance. Paid on an hourly basis, these trainers help AI systems become more accurate and effective in understanding and generating human-like responses.
What are popular job titles related to Hourly Advanced Ai Data Trainer jobs in Spring, TX? For Hourly Advanced Ai Data Trainer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Hourly Advanced Ai Data Trainer jobs in Spring, TX look for? The top searched job categories for Hourly Advanced Ai Data Trainer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Hourly Advanced Ai Data Trainer jobs? Cities near Spring, TX with the most Hourly Advanced Ai Data Trainer job openings:
Infographic showing various Hourly Advanced Ai Data Trainer job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $57,829 per year, or $27.8 per hour.

Supervisor, AI & Data Analytics

Biourja Advisors LLC

Houston, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Description

SUMMARY OF COMPANY

BioUrja Advisors is the shared services company within BioUrja Group.  Established in 2006, BioUrja was initially founded to supply physical bioethanol to the U.S. refining industry, BioUrja has since evolved into a leading supplier of refined petroleum products and natural gas liquids, in addition to maintaining its strong presence in the bioethanol supply and trading sector. We count every major refining company as our customer, as well as most of the largest international trading houses and wholesalers. We are renowned globally in the energy industry, with a reputation for exceptional service and reliability in delivering physical commodities anywhere.


POSITION SUMMARY

The Supervisor, AI & Data Analytics is responsible for leading and developing a centralized team of analysts supporting trading, energy, terminals, logistics, manufacturing, finance, and corporate functions across BioUrja Group through data analytics, business intelligence, AI, and process automation initiatives. This role combines advanced technical expertise, including artificial intelligence (AI), data analytics, and automation-with strong leadership. The Supervisor will oversee a team of approximately five analysts, driving high-quality analytical outputs, identifying opportunities for AI-driven efficiencies, and building scalable data solutions that support business decision-making across multiple functions and geographies. This position will report to the VP of IT Infrastructures & Security.


RESPONSIBILITIES 

  • Lead, manage, mentor, and develop a centralized team of analysts supporting BioUrja Group companies across multiple business functions and geographies.
  • Oversee the intake, prioritization, and execution of analytics, reporting, AI, and automation initiatives to ensure alignment with business objectives.
  • Partner with business leaders to identify opportunities where data analytics, artificial intelligence, and process automation can improve operational efficiency, profitability, and decision-making.
  • Design, develop, and implement AI-driven solutions, machine learning models, and intelligent automation tools that deliver measurable business value.
  • Establish and maintain enterprise reporting frameworks, dashboards, key performance indicators (KPIs), and self-service analytics capabilities.
  • Develop scalable data models, workflows, and processes that improve data accessibility, consistency, and quality across the organization.
  • Serve as a subject matter expert in artificial intelligence, machine learning, data analytics, and emerging technologies, providing guidance to both technical and non-technical stakeholders.
  • Ensure data integrity, governance, security, and compliance standards are maintained across all analytics and AI initiatives.
  • Collaborate with IT, operations, finance, trading, logistics, and other business teams to deliver cross-functional data and AI solutions.
  • Evaluate emerging AI technologies, platforms, and vendors, recommending solutions that align with organizational goals and technology strategy.
  • Provide hands-on technical leadership in areas including data analysis, dashboard development, AI solution design, automation, and advanced reporting.
  • Prepare and present executive-level insights, recommendations, and performance metrics to senior leadership.
  • Establish best practices, standards, and governance processes for analytics, AI development, and automation initiatives.
  • Support strategic projects and special initiatives as assigned by leadership.


REQUIREMENTS & QUALIFICATIONS

  • Bachelor's degree in relevant field (Master's preferred). 
  • 5+ years of experience in analytics or technical field.
  • Prior team leadership experience preferred. 
  • Advanced AI/ML knowledge. 
  • Experience with Python, SQL, Power BI or Tableau, Excel, and modern AI platforms including Microsoft Copilot, ChatGPT, Claude, Gemini and related LLM technologies.
  • Experience building AI-enabled workflows, automation, agents, or machine learning solutions preferred.
  • Strong communication skills. 
  • Ability to translate technical insights into business value. 
  • Partner with business leaders to identify opportunities where analytics, AI, and automation can improve operational efficiency, profitability, and decision-making.

Success in this role will be measured by the team's ability to deliver actionable business insights, increase organizational adoption of AI solutions, improve operational efficiency through automation, and maintain high standards of data quality and governance.


Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.


BENEFITS

  • Competitive Salary.
  • Comprehensive Benefits (medical, dental, vision, life).
  • 401(k)/ Retirement savings.
  • Friendly work environment.
  • Paid-Time Off/holidays.

EEO STATEMENT

We are an equal opportunity employer, and all qualified candidates will receive consideration without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or any other characteristic protected by law. 


BioUrja Advisors LLC participates in the E-Verify Employment Verification Program. 


BioUrja Advisors LLC is not currently accepting unsolicited resumes from search firms. Regardless of past practice, all resumes submitted by search firms to any employee at BioUrja Advisors LLC, via-email, the Internet or directly to hiring managers at BioUrja Advisors LLC in any form without a valid written agreement in place for that specific position will be deemed the sole property of BioUrja Advisors LLC. As a result, no fee will be paid in the event the candidate is hired by BioUrja Advisors LLC.