1

Ai In Finance Jobs in Spring, TX (NOW HIRING)

In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets • Leverage your education and work experience to check ...

In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets • Leverage your education and work experience to check ...

In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets • Leverage your education and work experience to check ...

Participate in rotations every 6 months across different departments and/or divisions within the ... A digital mindset and curiosity about emerging technologies, including AI-enabled tools such as ...

In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets • Leverage your education and work experience to check ...

In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets • Leverage your education and work experience to check ...

next page

Showing results 1-20

Ai In Finance information

See Spring, TX salary details

$22.2K

$82.4K

$120.6K

How much do ai in finance jobs pay per year?

As of Jun 22, 2026, the average yearly pay for ai in finance in Spring, TX is $82,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai In Finance vs Data Analyst in Finance?

AspectAi In FinanceData Analyst in Finance
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Finance, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven finance teams, AI development labs, financial institutionsFinancial firms, banks, investment companies, data analysis departments
Employer & Industry UsageFinancial technology companies, banks integrating AI solutionsFinancial services firms analyzing market data, risk, and client information

Ai In Finance focuses on developing and implementing AI solutions within finance, requiring technical and financial expertise. Data Analysts in Finance interpret financial data to support decision-making. While both roles work with financial data, Ai In Finance emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

How do professionals in AI in Finance typically collaborate with other departments within a financial institution?

Professionals working in AI in Finance often collaborate closely with teams such as risk management, compliance, and data engineering. They work together to define business requirements, ensure the quality and security of financial data, and interpret AI models’ results for practical decision-making. Effective communication is key, as AI specialists must translate complex technical findings into actionable insights for non-technical stakeholders. This collaborative environment fosters innovation and helps drive solutions that align with both regulatory standards and business goals.

What is AI in finance?

AI in finance refers to the use of artificial intelligence technologies and machine learning algorithms to automate, enhance, and optimize various financial services and processes. This includes applications such as fraud detection, algorithmic trading, credit risk assessment, customer service chatbots, and personalized financial advice. By leveraging large datasets and advanced analytics, AI can improve decision-making, reduce operational costs, and deliver more accurate and timely financial insights. Many financial institutions are increasingly adopting AI to stay competitive and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as an AI professional in Finance, and why are they important?

To thrive as an AI professional in Finance, you need a strong background in data science, machine learning, quantitative analysis, and finance, often supported by degrees in computer science, mathematics, or finance. Familiarity with programming languages like Python or R, experience with AI/ML frameworks (such as TensorFlow or PyTorch), and understanding of financial systems or regulatory standards are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this field. These skills are vital for developing robust AI solutions that drive financial insights, improve decision-making, and ensure regulatory compliance.
What job categories do people searching Ai In Finance jobs in Spring, TX look for? The top searched job categories for Ai In Finance jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai In Finance jobs? Cities near Spring, TX with the most Ai In Finance job openings:
Financial Advisor (CFA or CFP) - AI Trainer

Financial Advisor (CFA or CFP) - AI Trainer

micro1 AI

Conroe, TX • Remote

$80 - $110/hr

Part-time

Posted 6 days ago


Job description

Job Title: Financial Advisor (CFA or CFP)


Job Type: Contractor - US ONLY


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Evaluate and review realistic advisory scenarios involving budgets, emergency funds, debt management, retirement planning, and investment decisions tailored to mainstream households.
  2. Assess AI-generated recommendations for suitability, clarity, compliance, and actionable practicality for W-2 earners and middle-income families.
  3. Document how actual advisor-client conversations unfold, including prioritizing goals, discussing tradeoffs, and walking clients through decision points.
  4. Detail decision rules, rules of thumb, and benchmarks commonly used in practice (e.g., cash reserve targets, debt payoff sequencing, retirement savings rates).
  5. Deliver clear, plain-language written feedback to enhance AI explanations, next steps, and client communication.
  6. Identify and flag compliance or risk issues, emphasizing a fiduciary, client-first approach and appropriate referral scenarios (CPA, attorney, insurance).
  7. Contribute to the development of workflows and processes that reflect best practices in everyday personal finance advising.


Required Skills and Qualifications:

  1. 3+ years of hands-on, client-facing experience providing holistic financial planning to mainstream households in roles such as Financial Advisor, Wealth Advisor, or Personal Financial Consultant.
  2. Expertise in budgeting, cash flow analysis, debt management, retirement savings strategies, college planning, and basic risk management (insurance needs analysis).
  3. CFP® certification strongly preferred (or CFP exam passed with substantial relevant experience); CFA, ChFC, or similar planning credentials considered with strong mainstream client work.
  4. Exceptional written and verbal communication skills, with a talent for breaking down complex topics for non-experts.
  5. Demonstrated commitment to fiduciary standards, compliance, and high-integrity client service.
  6. Experience mentoring others, developing workflows, or standardizing planning processes.
  7. Comfort working asynchronously and independently in a remote setting.


Preferred Qualifications:

  1. Prior experience in roles blending financial planning and ongoing coaching, such as workplace financial consultant or advisor at national firms.
  2. Background designing or improving standardized planning processes or digital advisory journeys.
  3. Familiarity with personal finance apps, digital advice platforms, or AI-driven tools and a strong interest in innovation within the advisory space.