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Ai Director Jobs in Spring, TX (NOW HIRING)

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

This role will report to and work closely with the Assistant Director on these AI initiatives to accomplish firmwide initiatives. This position is available in the following offices: Charlotte ...

Showing results 41-60

Ai Director information

What does an AI Director do?

An AI Director oversees the development and implementation of artificial intelligence strategies within an organization or project. Their responsibilities include managing AI teams, setting project goals, ensuring ethical AI practices, and integrating AI technologies to meet business objectives. They often collaborate with data scientists, engineers, and other stakeholders to drive innovation and solve complex problems using AI solutions.

What are the key skills and qualifications needed to thrive as an AI Director?

To thrive as an AI Director, you need deep expertise in artificial intelligence, machine learning, and data science, typically supported by an advanced degree in computer science or related fields. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and experience managing large-scale AI projects are crucial, as are certifications in relevant technologies. Strong leadership, strategic thinking, and communication skills help drive cross-functional teams and align AI initiatives with business objectives. These abilities ensure the successful development, deployment, and adoption of AI solutions that deliver real business value.

How does an AI Director typically collaborate with cross-functional teams in an organization?

An AI Director works closely with various departments such as engineering, product management, data science, and executive leadership to align AI initiatives with business goals. Collaboration often involves leading strategy sessions, setting project priorities, and ensuring technical teams have the resources and guidance needed to deliver on objectives. Effective communication is key, as the AI Director must translate complex technical concepts into business value and coordinate efforts across multiple stakeholders. Regular meetings and progress reviews help maintain alignment and address challenges proactively.

What is the difference between Ai Director vs Data Scientist?

AspectAi DirectorData Scientist
Required CredentialsAdvanced degrees in AI, computer science, or related fields; leadership experienceBachelor's or master's in data science, statistics, or related fields; strong programming skills
Work EnvironmentOversees AI projects, manages teams, collaborates with executivesAnalyzes data, builds models, reports findings, often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI strategiesTech firms, finance, healthcare, research institutions

While both roles involve working with data and AI, the Ai Director focuses on strategic oversight, leadership, and managing AI initiatives, whereas the Data Scientist concentrates on data analysis, model development, and technical implementation.

How to become a director of AI?

To become a director of AI, candidates typically need a strong background in computer science, machine learning, or data science, often with a master's or doctoral degree. Relevant experience includes leading AI projects, managing teams, and proficiency with AI tools and frameworks such as TensorFlow or PyTorch. Developing leadership skills and a strategic understanding of AI applications are also essential for this senior role.

What are the most commonly searched types of Ai jobs in Spring, TX?

The most popular types of Ai jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Director jobs?

Cities near Spring, TX with the most Ai Director job openings:

Infographic showing various Ai Director job openings in Spring, TX as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Tax (SALT) AI Training Specialist

micro1 AI

Pasadena, TX • Remote

$20 - $30/hr

Part-time

Posted 9 days ago


Job description

Job Title: Accountant (CPA/CA)


Job Type: Contract


Location: Remote


Job Summary: You'll use your tax expertise to help train next-generation AI systems. The core work is reading US sales and use tax statutes and defining exactly what an AI's formal translation of the law must capture to be correct. Work spans multiple state jurisdictions, with some federal provisions as well. No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters.


Key Responsibilities:

  1. Read and interpret sales and use tax statutes and regulations across US state jurisdictions, and occasionally federal tax provisions, at the level of individual subsections.
  2. Author rubrics: break a section of law into a checklist of discrete requirements the AI's translation must satisfy, grounded strictly in the statute text and written independently of the AI's output.
  3. Assign severity to each requirement (critical vs. secondary vs. minor) based on genuine statutory weight, not defaulting everything to critical.
  4. Review the AI's formal translation of a statute and score it pass/fail against your rubric, checking that conditions, thresholds, AND/OR logic, and exceptions are captured accurately.
  5. Write clear, self-contained test scenarios (including edge cases) for failed criteria, with explicit facts, dates, amounts, and expected outcomes.
  6. Identify and flag discrepancies, statutory exceptions, and genuine ambiguities in the law.
  7. Work within a digital review platform, submitting structured written evaluations.


Required Skills and Qualifications:

  1. Active CPA license, Chartered Accountant designation, or experience as a US tax attorney.
  2. Sales and use tax or broader state and local tax statutory experience strongly preferred.
  3. Proven ability to read and interpret tax statutes and regulations, not just prepare returns.
  4. Comfort working with legal logic: conditions, thresholds, AND/OR structures, exceptions, and defined terms.
  5. Strong written communication with a focus on precision. Another reviewer should reach the same conclusion from your criteria.
  6. High attention to detail, especially around "except for" clauses and edge cases.
  7. Comfort providing structured feedback through a digital review interface.


Preferred Qualifications:

  1. Experience across multiple state tax jurisdictions.
  2. Enrolled Agent designation, or federal tax experience relevant to the scenario-review track.
  3. Direct experience reviewing or validating AI or technology-driven tax content.
  4. Background in training teams or giving written feedback on legal/tax language.
  5. Interest in the intersection of technology and tax compliance.