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Contract Machine Learning Startup Jobs in Houston, TX

... contract compliance monitoring, and delivery of targeted training on legal best practices to business unit heads, and functional teams. Advise on legal risks associated with AI, machine learning, and ...

MLOPS Engineer

Texas City, TX ยท On-site

$70/hr

MLOPS Engineer Job Type : w2 Contract Location: Texas City, TX, USA Duration: 10 Months Bill Rate ... machine learning training and inference Qualifications: 6+ years of experience in ML Ops with ...

New

Data Science Tutor

Missouri City, TX ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Pearland, TX ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Houston, TX ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Sugar Land, TX ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Project Manager, AI and Data Science

Houston, TX ยท Hybrid

$49.50 - $66.75/hr

On the platform side, you will work across AWS services to support building Machine Learning and ... and contract performance. * Ensure high quality documentation for requirements, test plans ...

On the platform side, you will work across AWS services to support building Machine Learning and ... and contract performance. * Ensure high quality documentation for requirements, test plans ...

... machine learning, advanced analytics, and generative AI. You will also have a strong product ... Our "startup mentality," backed by the institutional knowledge and established reputation of the ...

Showing results 41-60

Contract Machine Learning Startup information

See Houston, TX salary details

$28

$46

$94

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

As of Sep 5, 2026, the average hourly pay for contract machine learning startup in Houston, TX is $46.73, according to ZipRecruiter salary data. Most workers in this role earn between $39.23 and $48.41 per hour, depending on experience, location, and employer.

What is a contract machine learning startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.

What are the key skills and qualifications needed to thrive in a contract machine learning startup role?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the most commonly searched types of Machine Learning Startup jobs in Houston, TX?

The most popular types of Machine Learning Startup jobs in Houston, TX are:

What cities near Houston, TX are hiring for Contract Machine Learning Startup jobs?

Cities near Houston, TX with the most Contract Machine Learning Startup job openings:

Operation Analyst - Operations/Regulatory Retail Power

Gridmatic Inc

Houston, TX โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston, dedicated to accelerating the clean energy transition. We leverage deep expertise in data, machine learning,ย and energy markets to drive innovation in the power sector. We are a startup that has multipleย years of profitability without raising venture capital.
Our Houston-based Retail team is focused on delivering exceptional service and a uniquely data-driven, tech-forward offering to commercial customers across the ERCOT and PJMย markets.ย 
At Gridmatic, we foster a workplace culture rooted in teamwork, continuous learning, and a strong commitment to diversity and inclusion. We move fast, solve problems with agility, and areย both environmentally and data-driven. With a growth-oriented, academic mindset, we holdย integrity and excellence as equal pillars of our success.
ย 
About this Role:
We are seeking a detail-oriented and highly motivated professional to join our Retail Operationsย team, focused on serving commercial electricity customers in ERCOT and PJM. This role isย critical to ensuring the seamless execution of key operational functions including billing,ย enrollment, regulatory compliance, broker commissions, and customer support.ย The ideal candidate will have strong analytical and problem-solving skills, a proactive mindset,ย and the ability to thrive in a fast-paced, data-driven environment. You'll work cross-functionallyย to drive accuracy, efficiency, and compliance across the retail energy and customer lifecycle,ย while delivering exceptional service to both customers and broker partners.This is a high-impact role with broad exposure across the business, ideal for someone whoย enjoys working at the intersection of operations, data, and strategy.

Key Responsibilities:
1. Billing
  • Oversee the timely and accurate generation of customer invoices
  • Manage complex billing scenarios based on product and contract structures
  • Monitor and resolve billing exceptions and discrepancies
  • Partner with internal teams to improve billing accuracy and automation
2. Customer Enrollment
  • Ensure all commercial customers are enrolled accurately and on schedule
  • Manage enrollment exceptions and troubleshoot issues as they arise
  • Collaborate with IT and third-party vendors to enhance and automate enrollment systems
3. Regulatory
  • Monitor and interpret regulations across ERCOT, PJM, and other U.S. power markets
  • Ensure in compliance with market rules and commission guidelines (FERC, PUC, State, and utilities) and prepare data and assist with regulatory filings, audits, and reports
  • Partner with legal, compliance, and operations teams to assess and manage regulatory risk
4. Commissions
  • Manage broker relationships and ensure timely, accurate payment of commissions
  • Track and report on commission structures, performance, and exceptions
  • Address broker inquiries professionally and efficiently
  • Develop tools and reporting processes to automate and optimize commission workflows
5. Customer Service
  • Lead efforts to deliver high-quality support across multiple communication channels
  • Respond to customer inquiries and issues with clarity, professionalism, and urgency
  • Implement systems and processes that enhance customer satisfaction and retention
  • Ensure seamless coordination between operations, billing, and support teams
6. Data & Analytics
  • Analyze operational and financial data to identify trends, gaps, and opportunities
  • Develop dashboards and predictive models using SQL, Python, Tableau, and Power BI
  • Translate complex data into actionable insights for cross-functional teams
  • Support business decisions with clear, concise reports and visualizations
7. Strategic Operations Support
  • Collaborate with cross-functional teams to improve tools, systems, and workflows
  • Contribute to special projects including workflow scaling and new service rollouts
  • Drive operational improvements to support customer satisfaction and company growth
Qualifications
  • 3+ years of experience in data analytics, operations, or regulatory roles, ideally within the energy or utilities sector.
  • Proven ability to analyze complex problems and present data-driven recommendations.
  • Strong Microsoft PowerPoint, Excel, and communication skills-able to distill technical information into clear, actionable insights.
  • Self-starter with the ability to work independently and thrive in a fast-paced, evolving environment.
  • Knowledge of U.S. power markets, including ERCOT and PJM, is strongly preferred.
  • Experience with billing systems such as Vertexone and data tools, SQL, Python, andย visualization platforms like Power BI or Tableau is a plus.
ย 
Taking care of you today:
- Continuing Education Opportunities
- Flexible PTO
- Medical, Dental and Vision plans with competitive employer contributions
- Pre-Tax commuter benefits
- $1500/year non profit donation matching program through Millie
- Home Office Stipend
ย 
Protecting your future for you and your family:
- 401K contribution match up to 4%
- Company-paid parental leave
- Company Paid Life Insurance
- Stock Option Loan Program