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Temporary Generative Ai Jobs in Michigan (NOW HIRING)

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Temporary Salary: $47.82-53.13 Hourly W2 Start Date: ASAP Partner with Aquent to join a leading ... Build and integrate Generative AI solutions utilizing large language models (LLMs) to create ...

Aquent

AI Software Test Engineer (SDET)

Ann Arbor, MI · On-site

$42.06 - $46.73/hr

Temporary Salary: $42.06-46.73 Hourly W2 Start Date: Jul 13, 2026 Partnering with Aquent, we are ... generative AI solutions. In this pivotal role, you will be instrumental in ensuring that our AI ...

Publicis Groupe Holdings B.V

Copywriter

Birmingham, MI

$66K - $87K/yr

Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

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Temporary Generative Ai information

What is the difference between Temporary Generative Ai vs Data Scientist?

AspectTemporary Generative AiData Scientist
Required credentialsKnowledge of AI tools, programming, and data handlingDegree in Data Science, Computer Science, or related fields
Work environmentTech companies, AI startups, project-based rolesCorporate, research institutions, analytics teams
Employer usageDeveloping and testing AI models temporarilyAnalyzing data, building predictive models, ongoing projects
Search intentTemporary AI roles, AI project contractsData analysis, machine learning careers

Temporary Generative Ai roles focus on short-term AI model development and deployment, often requiring specific technical skills. Data Scientists typically engage in ongoing data analysis and model building within organizations. While both roles involve data and AI, Temporary Generative Ai positions are project-based, whereas Data Scientists work on continuous data-driven initiatives.

Can you get a job with temporary generative AI?

Temporary generative AI roles are available in fields such as AI development, data annotation, and content generation, often requiring skills in machine learning, programming, and familiarity with AI tools like GPT models. These positions are typically project-based or seasonal, and candidates may need relevant certifications or experience in AI and data handling. Job availability depends on industry demand and the specific company's needs for short-term AI projects.
What are the most commonly searched types of Generative Ai jobs in Michigan? The most popular types of Generative Ai jobs in Michigan are:
What are popular job titles related to Temporary Generative Ai jobs in Michigan? For Temporary Generative Ai jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Temporary Generative Ai jobs in Michigan look for? The top searched job categories for Temporary Generative Ai jobs in Michigan are:
What cities in Michigan are hiring for Temporary Generative Ai jobs? Cities in Michigan with the most Temporary Generative Ai job openings:
Temporary Generative Ai jobs near you

AI Software Developer

Aquent

Ann Arbor, MI • On-site

$47.82 - $53.13/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

Placement Type:
Temporary
Salary:
$47.82-53.13 Hourly
W2
Start Date:
ASAP
Partner with Aquent to join a leading organization at the forefront of financial services innovation. This company is dedicated to empowering individuals and institutions through advanced technology, delivering cutting-edge solutions that shape the future of finance. You'll be part of a mission-driven team that values innovation, collaboration, and making a tangible impact on millions of users.
Are you a passionate AI professional ready to transform the financial landscape with intelligent solutions? This is your chance to build scalable AI solutions using modern machine learning, generative AI, and agent frameworks, making a significant impact on our products and the experiences of our users. As a key contributor, your expertise will directly drive the design, development, and deployment of state-of-the-art AI-powered applications and services that will shape the future of finance.
Key Responsibilities
  • Design, develop, test, and deploy AI-enabled applications and services, ensuring high quality and reliability.
  • Build and integrate Generative AI solutions utilizing large language models (LLMs) to create innovative features.
  • Develop sophisticated AI agents, workflows, prompts, tools, and orchestration frameworks.
  • Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to enhance information access.
  • Build robust APIs, microservices, and backend services to support complex AI workloads.
  • Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency for peak efficiency.
  • Develop automated testing, monitoring, and observability solutions for AI applications, ensuring operational excellence.
  • Collaborate closely with product owners and business stakeholders, translating requirements into impactful technical solutions.
  • Implement responsible AI, security, privacy, and governance controls within AI solutions, upholding ethical standards.
  • Contribute to architectural decisions, coding standards, and engineering best practices, shaping our technical direction.
  • Provide essential support for AI applications in production, participating in troubleshooting and incident resolution.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
  • 3-6 years of software development experience.
  • 2+ years of experience building AI/ML or Generative AI applications.
  • Strong programming skills in one or more of: Python, Java, C#, TypeScript/JavaScript.
  • Experience developing REST APIs and distributed services.
  • Experience working with cloud platforms such as Azure, AWS, or GCP.
  • Strong understanding of software engineering fundamentals, including design patterns, testing, CI/CD, security, and observability.

Nice-to-Have Qualifications
  • Experience with LLM platforms such as OpenAI, Anthropic Claude, Azure OpenAI, or Gemini.
  • Experience building AI agents, integrations, tool calling frameworks, or multi-agent workflows.
  • Experience with RAG architectures and vector databases.
  • Familiarity with prompt engineering and evaluation frameworks.
  • Experience with containerization and orchestration technologies like Docker, Kubernetes, or Cloud Run.
  • Experience working in Agile development environments.

About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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