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Ai Training For Finance Jobs (NOW HIRING)

TripleTen

$40 - $80/hr

Experience designing training materials, courses, workshops, or enablement content. * Experience delivering workshops, webinars, or internal training for finance professionals. * Familiarity with AI ...

Agap Technologies

Generative AI Training

Atlanta, GA · On-site

Our Training Features: • You will receive top quality instruction that is famous for Online ... AI training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM ...

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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 Jul 27, 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 are the key skills and qualifications needed to thrive in AI Training for Finance, and why are they important?

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 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 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.

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.
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:
What job categories do people searching Ai Training For Finance jobs look for? The top searched job categories for Ai Training For Finance jobs are:
Ai Training For Finance jobs near you
Infographic showing various Ai Training For Finance job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,299 per year, or $19.9 per hour.

AI for Finance Teaching Expert (Part-time, B2B)

TripleTen

On-site, Remote

$40 - $80/hr

Part-time

Posted 19 days ago

Job description

Description
Nebius Academy (powered by TripleTen) partners with forward-thinking companies to help finance teams adopt AI and build practical, job-ready skills that drive measurable business impact.
We design hands-on learning experiences that enable finance professionals to integrate artificial intelligence into their daily workflows-from financial analysis and FP&A to reporting, reconciliations, forecasting, and executive communication. Our programs focus on real-world business scenarios, helping organizations improve productivity, strengthen decision-making, and adopt AI safely and responsibly in data-sensitive financial environments.
As we continue expanding our AI for Finance portfolio, we're looking for experienced finance practitioners who have successfully integrated AI into their own workflows and can transform that expertise into high-quality learning content. This role goes beyond teaching-you will help design practical frameworks, real-world case studies, templates, and methodologies that empower finance professionals to work smarter with AI.
What you will do
  • Design and author high-quality AI for Finance learning content, including module outlines, lessons, practical exercises, and competency-based learning outcomes.
  • Create realistic, hands-on workshops using anonymized financial datasets, real business scenarios, and AI-powered finance workflows.
  • Develop practical resources such as prompt libraries, templates, playbooks, checklists, and reusable frameworks for finance professionals.
  • Translate real-world finance experience into engaging case studies covering FP&A, financial reporting, reconciliations, forecasting, executive communication, and workflow automation.
  • Ensure all content reflects current AI capabilities, finance best practices, and safe, responsible AI adoption in regulated environments.
  • Collaborate with Learning Experience Designers (LXD) and the curriculum team to create engaging, business-relevant learning experiences.
  • Review, refine, and continuously improve course materials based on learner feedback, evolving AI tools, and changes in finance practices.
  • Act as the subject matter expert for AI-powered finance workflows, ensuring technical accuracy and practical business relevance across all learning assets.

Requirements
  • 5+ years of experience in Corporate Finance, FP&A, Financial Analysis, Accounting, Controlling, Treasury, Procurement, or another finance function.
  • Hands-on experience applying generative AI tools (e.g., ChatGPT, Claude, Gemini, Microsoft Copilot) to finance, analytical, or decision-support workflows.
  • Strong understanding of core finance processes, including financial reporting, forecasting, budgeting, reconciliations, variance analysis, and executive communication.
  • Experience using AI to improve finance workflows involving structured data, financial documents, research, reporting, or automation.
  • Experience creating practical frameworks, templates, playbooks, prompt libraries, or documentation that improve finance team productivity.
  • Strong proficiency with Excel, financial modeling, and reporting tools used in day-to-day finance operations.
  • Professional fluency in English.

Nice to Have
  • Experience designing training materials, courses, workshops, or enablement content.
  • Experience delivering workshops, webinars, or internal training for finance professionals.
  • Familiarity with AI-powered finance tools such as ChatGPT Advanced Data Analysis, Julius AI, NotebookLM, Perplexity, Gamma, or Microsoft Copilot.
  • Experience collaborating with instructional designers or learning experience teams.
  • Availability to work within European time zones.

What we can offer you
  • The opportunity to create impactful content while maintaining your primary job: Share your expertise without leaving your current role
  • Competitive hourly rate of $40-$80 USD for flexible part-time collaboration with significant impact and an amazing team!
  • Remote cooperation with a schedule convenient for both you and the team: We don't focus on micromanagement
  • Cross-cultural experience: Become part of an international team and connect with professionals from diverse backgrounds
  • Meaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational content
  • Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption
  • Professional growth: Receive feedback and develop your skills as a technical content creator and thought leader

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