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Ai Training For Finance Jobs (NOW HIRING)

AI Training Manager

Reston, VA · On-site

$140K - $203K/yr

In this role, you will be responsible for equipping all Bechtel employees with consistent AI ... The AI Training Manager leads a team of content authors, facilitators, and coordinators and ...

AI Training Manager

Reston, VA · On-site

$140K - $203K/yr

In this role, you will be responsible for equipping all Bechtel employees with consistent AI ... The AI Training Manager leads a team of content authors, facilitators, and coordinators and ...

AI Training Analyst Be You. The Digital Experience & Academic Technology Solutions (DEATS) team is ... To help prepare students, faculty, and staff for this, Duke has a growing portfolio of self-paced ...

This role is responsible for creating impactful learning experiences that help employees understand, adopt, and effectively apply emerging technologies in their daily work. The AI Training Specialist ...

New

... tool for finance professionals. We're seeking experienced finance professionals with advanced ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

Posted today

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Ai Training For Finance information

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How much do ai training for finance jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for ai training for finance in the United States is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.36 per hour, depending on experience, location, and employer.

What is AI training for finance?

AI training for finance refers to the process of teaching artificial intelligence systems to understand, analyze, and make decisions related to financial data and operations. This includes tasks like fraud detection, risk assessment, algorithmic trading, and customer service automation. The training involves feeding large datasets into machine learning models so they can identify patterns, make predictions, and improve over time. Professionals working in AI training for finance often collaborate with data scientists and financial experts to create effective, accurate models tailored to the industry’s needs.

What are the key skills and qualifications needed to thrive in AI training for finance?

To thrive in AI Training for Finance, you need a solid understanding of finance principles, data analysis, and machine learning concepts, often supported by degrees in finance, computer science, or data science. Familiarity with programming languages like Python or R, experience with financial modeling tools, and knowledge of AI frameworks such as TensorFlow or PyTorch are typically required. Strong problem-solving skills, attention to detail, and effective communication set standout professionals apart in this field. These skills enable accurate development and deployment of AI solutions that drive financial insights and business value.

What are some common challenges faced by professionals in AI training for finance, and how can they be overcome?

Professionals working in AI training for finance often encounter challenges such as handling sensitive financial data, ensuring regulatory compliance, and addressing biases in training datasets. Navigating strict data privacy laws and maintaining data quality requires close collaboration with compliance and IT teams. Additionally, staying updated with evolving regulations and adapting to rapidly changing AI technologies are essential to success. Building strong communication channels across departments and investing in ongoing professional development can help overcome these challenges.

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

AspectAi Training For FinanceData Analyst in Finance
Required CredentialsOften requires knowledge of AI, machine learning, and finance certificationsRequires data analysis, statistics, and finance certifications
Work EnvironmentTypically in training programs, tech-focused teams, or AI development settingsIn financial institutions, analyzing data, creating reports, and supporting decision-making
Employer & Industry UsageUsed by financial tech companies, banks, and investment firms for AI model developmentCommon in banks, asset management firms, and financial consultancies for data insights

Ai Training For Finance focuses on developing AI models and algorithms tailored for financial applications, often requiring technical and AI-specific skills. Data Analysts in Finance interpret financial data, generate reports, and support strategic decisions. While both roles work within the finance industry, Ai Training For Finance is more technical and development-oriented, whereas Data Analysts focus on data interpretation and reporting.

More about Ai Training For Finance jobs

What cities are hiring for Ai Training For Finance jobs?

Cities with the most Ai Training For Finance job openings:

What states have the most Ai Training For Finance jobs?

States with the most job openings for Ai Training For Finance jobs include:

Infographic showing various Ai Training For Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $41,299 per year, or $19.9 per hour.

Financial Documentation Expert (AI Training)

Remote

Contractor

Re-posted 28 days ago


Job description

This role is for one of our clients
$20 - $40/hourpay
Role Title: Financial Documentation Expert (AI Training)
Role Type: Contractor
Location: Remote
We are seeking experienced finance professionals to contribute their domain expertise to the development of next-generation AI systems. In this role, you will provide high-quality, self-authored financial documents that help improve AI models' ability to understand, analyze, and reason about complex financial concepts.
No prior AI experience is required-your professional expertise in finance, financial analysis, and documentation is the key qualification.
Requirements
Key Responsibilities
  • Submit original, self-created financial documents such as financial reports, investment analyses, valuation models, research papers, or internal business reports in PDF or Word format.
  • Provide documentation that includes rich, multimodal content such as tables, charts, graphs, diagrams, and financial visualizations.
  • Demonstrate strong financial expertise through detailed analysis, modeling, forecasting, and reporting.
  • Ensure all submitted materials are accurate, well-structured, professionally presented, and appropriately sourced.
  • Contribute documents of varying lengths (ideally 10-100 pages) to support diverse AI training scenarios.
  • Participate in project-related discussions and provide clarification on submitted materials when required.
  • Maintain confidentiality by removing or anonymizing any sensitive or proprietary information before submission.
Required Skills & Qualifications
  • Proven experience creating high-quality financial documentation, investment reports, valuation models, or business analyses.
  • Strong expertise in financial analysis, financial modeling, reporting, budgeting, forecasting, or investment research.
  • Experience presenting financial insights using charts, tables, dashboards, and other visual elements.
  • Excellent analytical, written, and verbal communication skills.
  • Exceptional attention to detail with a strong focus on accuracy and data integrity.
  • Ability to produce clear, well-organized, and technically sound documentation.
Preferred Qualifications
  • Background in Finance, Accounting, Economics, Investment Banking, Equity Research, Financial Consulting, Corporate Finance, or related fields.
  • Experience as a Financial Analyst, Finance Manager, Investment Analyst, Consultant, Research Professional, or Academic.
  • Familiarity with financial reporting standards, compliance requirements, and documentation best practices.
  • Experience developing comprehensive reports for internal business use, clients, or academic purposes.
Must-have Skills
  • Financial Analysis
  • Financial Documentation
  • Financial Modeling
Good-to-have Skills
  • Investment Research
  • Valuation
  • Corporate Finance
  • Financial Reporting