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Temporary Artificial Intelligence Finance Jobs (NOW HIRING)

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

Description Position Summary The Lead Artificial Intelligence Engineer develops and produces AI and ... Experience working with large-scale financial or transactional data is preferred. Credit One Bank ...

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Temporary Artificial Intelligence Finance information

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How much do temporary artificial intelligence finance jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for temporary artificial intelligence finance in the United States is $20.40, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a temporary artificial intelligence finance professional, and why are they important?

To thrive as a Temporary Artificial Intelligence Finance professional, you need a solid background in finance, data analysis, and an understanding of AI-driven financial modeling, often supported by a degree in finance, mathematics, or computer science. Familiarity with financial software, programming languages like Python or R, and AI platforms such as TensorFlow or PyTorch is typically required. Strong analytical thinking, adaptability, and effective communication skills help professionals collaborate with interdisciplinary teams and interpret complex data insights. These skills are crucial for leveraging AI tools to drive financial decision-making and optimize business outcomes in a dynamic environment.

What is the difference between Temporary Artificial Intelligence Finance vs Temporary Data Analyst?

AspectTemporary Artificial Intelligence FinanceTemporary Data Analyst
Required CredentialsDegree in Finance, Computer Science, or related field; knowledge of AI toolsDegree in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentFinance firms, tech companies, consulting agenciesCorporate offices, financial institutions, consulting firms
Employer & Industry UsageFinance industry integrating AI solutionsData-driven decision making across industries
Common Search & Comparison IntentUnderstanding roles in AI finance projectsComparing data analysis roles in finance

Temporary Artificial Intelligence Finance professionals focus on applying AI technologies within financial contexts, often requiring knowledge of finance and AI tools. Temporary Data Analysts interpret data to inform business decisions across various industries. While both roles involve data handling, AI Finance emphasizes AI integration in finance, whereas Data Analysts focus on data interpretation and reporting.

What is a temporary artificial intelligence finance?

A Temporary Artificial Intelligence Finance job involves using AI technologies and data analytics to support financial tasks or projects on a short-term or contract basis. Professionals in this role may help automate financial processes, analyze large datasets, build predictive models, or assist with AI tool implementation for finance departments. These roles are usually hired for specific projects or to cover staff absences, and require strong technical, analytical, and finance-related skills. Temporary positions can offer valuable experience in the rapidly evolving field of AI in finance.

What types of projects might I work on in a temporary artificial intelligence finance role, and how does this position typically interact with other departments?

In a Temporary Artificial Intelligence Finance role, you may be involved in projects such as developing predictive models for financial forecasting, automating routine financial reporting, or analyzing transactional data to identify trends and anomalies. This position often requires close collaboration with IT teams, data scientists, and business analysts to ensure accurate data integration and model deployment. You’ll also interact with finance managers to translate business needs into AI solutions and communicate findings to non-technical stakeholders. This collaborative environment helps broaden your exposure to both technical and financial aspects of the organization.
What cities are hiring for Temporary Artificial Intelligence Finance jobs? Cities with the most Temporary Artificial Intelligence Finance job openings:
What are the most commonly searched types of Artificial Intelligence Finance jobs? The most popular types of Artificial Intelligence Finance jobs are:
What states have the most Temporary Artificial Intelligence Finance jobs? States with the most job openings for Temporary Artificial Intelligence Finance jobs include:
Temporary Artificial Intelligence Finance jobs near you

Director Artificial Intelligence

ORANGE EV LLC

Kansas City, KS • On-site

Full-time

Re-posted 20 days ago

Job description

Join Orange EV, a fast-growing manufacturer of electric vehicles that are better for the earth, people and the bottom line. Make a difference for the world as part of a company leading the electric vehicle revolution.

Position Summary

Orange EV is a technology-forward OEM seeking a Director of Artificial Intelligence to serve as the company's AI authority and strategic enabler. This is a role reporting directly to the CEO, designed to ensure our internal leaders can move quickly and confidently with AI — while protecting the company's data, systems, reputation, and competitive position. This is not a role built primarily around building a large team or running large-scale engineering projects. It is a role built around enabling speed with guardrails — empowering every business function to leverage AI effectively, responsibly, and in alignment with company strategy. As the company grows, limited supervisory responsibilities may develop, but the core mission is always to make the business faster and smarter, safely.

The Opportunity

This is a rare opportunity to shape how a growing, technology-driven OEM harnesses AI across its entire enterprise. You will work at the intersection of strategy, operations, and technology — with direct access to the CEO and the ability to influence how the company competes and grows. Specifically, you will:

  • Define the AI governance framework that gives business leaders the confidence to move fast without undue risk
  • Be the trusted advisor who translates AI possibilities into practical, high-impact business decisions
  • Operate as a hands-on strategist — more architect and guide than manager
  • Build the foundation of an AI-capable culture in a company with the technical DNA to embrace it


Position Responsibilities

AI Strategy & Governance

  • Develop and own the company-wide AI strategy, roadmap, and governance framework — aligned to business objectives and the realities of an OEM operating environment
  • Establish clear AI policies, guardrails, and decision-making frameworks that enable internal leaders to move fast while protecting company data, IP, and regulatory standing
  • Define acceptable use standards for AI tools, platforms, and third-party integrations across all departments
  • Advise the CEO and executive team on AI trends, risk, and competitive implications specific to OEM and manufacturing-adjacent sectors

Enablement & Implementation

  • Partner with department heads across engineering, operations, supply chain, sales, finance, and HR to identify and prioritize high-value AI use cases
  • Lead the total Orange EV Team in an ongoing effort to begin to implement AI Vibe Coding projects that have ROI
  • Lead evaluation and selection of AI tools, platforms, and vendors — ensuring fit, security, and scalability
  • Guide proof-of-concept initiatives through to scaled deployment, ensuring business outcomes are realized and documented
  • Serve as the primary point of escalation when AI projects surface compliance, data privacy, or ethical concerns

Internal Capability & Culture

  • Design and deliver AI literacy programs to help business leaders understand what AI can and cannot do — and how to use it responsibly
  • Translate complex AI concepts into plain-language guidance that non-technical leaders can act on confidently
  • Champion responsible AI practices across the organization, building trust in AI outputs and processes
  • May supervise a small team of AI-focused staff as the company's AI program matures; initial scope is individual contributor with strategic influence


Position Qualifications

  • 5+ years of progressive experience in AI strategy, data science, machine learning, or enterprise technology leadership
  • Demonstrated success designing and implementing AI governance frameworks, acceptable use policies, or enterprise AI risk management programs
  • Strong business acumen — able to tie AI decisions directly to operational outcomes, margin, compliance, and competitive positioning
  • Proven ability to enable and guide non-technical business leaders through AI adoption, not just oversee technical builds
  • Experience operating effectively as an individual contributor with executive-level influence in a fast-moving, resource-conscious organization
  • Exceptional communication skills — able to simplify complex AI topics for a CEO, a plant manager, and a legal team equally


Ideal Candidates Will Also Have

  • Background in OEM, manufacturing, engineered products, or technology-intensive product companies
  • Familiarity with ERP platforms, PLM systems, supply chain software, or industrial data environments
  • Experience with AI regulatory and compliance topics including data privacy (GDPR, CCPA), export controls, or product liability considerations relevant to manufactured goods
  • Exposure to responsible AI standards, AI ethics frameworks, or enterprise AI audit practices
  • Advanced degree in Computer Science, Data Science, Engineering, or equivalent experience in a technology-forward industry environment


What Success Looks Like

In the first 90 days:

  • Complete AI readiness and risk assessment across all major business functions
  • Draft a foundational AI Acceptable Use Policy and governance framework for executive review
  • Identify the top 3–5 AI opportunities with the highest near-term business impact and lowest governance risk
  • Complete the implementation of AI Vibe Coding project within 10 weeks


In year one:

  • Governance framework is adopted and actively used by internal leaders as a decision-making tool, not a bottleneck
  • At least three AI initiatives are live, with documented ROI or operational improvement
  • Improve the efficiency of Orange EV within 6 months through the implementation of AI Vibe Coding
  • Department leaders describe the Director of AI as a trusted partner who helps them move faster — not a gatekeeper who slows them down


Orange EV is an Equal Opportunity Employers and seek diversity in candidates for employment.

EEO Employer W/M/Vet/Disabled/Sexual Orientation/Gender Identity