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Ai Task Jobs in Minnesota (NOW HIRING)

Motion Recruitment

AI Prompt Engineers

Minneapolis, MN · Hybrid

Create a wide variety of prompts tailored to different AI tasks and applications. * Innovate and experiment with new techniques for generating prompts that drive better model performance. * Conduct ...

LawPro.ai

AI Engineer - VA

Virginia, MN · On-site

... specific tasks in our orchestration pipeline proactively optimizing outcomes. * Eval Framework ... AI Pipeline Optimization: Directly implement optimizations to LLM-based orchestration pipelines for ...

Cognizant

AI Architect

Minneapolis, MN · On-site

Key Responsibilities Agentic AI Architecture & Strategy ... Design end‑to‑end architecture for multi‑agent systems that automate data engineering tasks ...

Hunt Electric Corporation

AI Agent Developer

Eagan, MN · On-site

$76K - $102K/yr

Build, deploy, and maintain AI agents capable of automating tasks, answering queries, and improving operational workflows. * Integrate AI agents with APIs, databases, and other software systems to ...

Huntelec

AI Agent Developer

Eagan, MN · Hybrid

$76K - $102K/yr

Build, deploy, and maintain AI agents capable of automating tasks, answering queries, and improving operational workflows. * Integrate AI agents with APIs, databases, and other software systems to ...

Hunt Electric

AI Agent Developer

Eagan, MN · On-site

$76K - $102K/yr

Build, deploy, and maintain AI agents capable of automating tasks, answering queries, and improving operational workflows. * Integrate AI agents with APIs, databases, and other software systems to ...

micro1 AI

Biostatistician

Minneapolis, MN · Remote

$60 - $100/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as ...

micro1 AI

Director of Biostatistics

Rochester, MN · Remote

$60 - $100/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as ...

micro1 AI

Director of Biostatistics

Minneapolis, MN · Remote

$60 - $100/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as ...

micro1 AI

Biostatistician

Saint Paul, MN · Remote

$60 - $100/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as ...

micro1 AI

Biostatistician

Rochester, MN · Remote

$60 - $100/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as ...

micro1 AI

Director of Biostatistics

Saint Paul, MN · Remote

$60 - $100/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as ...

Quality Support, Inc.

Software/AI Engineer

Virginia, MN · On-site

Experience with the Celery Task Scheduler * Experience with NGINX * Experience with the Atlassian Suite of Tools such as Jira and Confluence * Experience with AI Development Tools such as Claude Code ...

Refinitiv

Director, AI Product Ops

Eagan, MN · On-site

$237K - $248K/yr

By automating coordination and program management tasks, you will not only liberate our product ... AI-First Product Operations Drive a Near-Zero-Overhead Model: Architect and run product operations ...

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Ai Task information

What is an AI task?

AI tasks are specific activities or problems that artificial intelligence systems are designed to perform or solve. These can range from natural language processing, image recognition, and data analysis to autonomous decision-making and recommendation systems. AI tasks are typically defined based on the goals of an AI project and can be performed by machine learning models, algorithms, or other intelligent software. Understanding the nature of a particular AI task is crucial for choosing the right tools and methods to solve it effectively.

What are some common challenges faced by AI task specialists when working on multi-disciplinary teams?

AI Task specialists often collaborate with data scientists, software engineers, product managers, and domain experts. A common challenge is translating complex technical concepts into actionable insights for non-technical stakeholders while ensuring that the AI models align with business objectives. Balancing competing priorities, such as model accuracy versus deployment speed, and managing expectations around AI capabilities can also be demanding. Effective communication and adaptability are key to overcoming these challenges and achieving successful project outcomes.

What are the key skills and qualifications needed to thrive as an AI (Artificial Intelligence) engineer, and why are they important?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and programming, typically supported by a relevant degree. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and familiarity with cloud platforms is essential, and certifications in data science or AI can be advantageous. Strong problem-solving abilities, creativity, and effective communication skills help AI Engineers design innovative solutions and explain complex concepts to diverse stakeholders. These skills ensure successful development, deployment, and integration of AI technologies in real-world applications.

What is the difference between Ai Task vs Data Annotator?

AspectAi TaskData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal education, training in annotation tools often provided
Work EnvironmentRemote or on-site, often part of AI development teamsPrimarily remote, working with datasets and annotation platforms
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and data science
Search & Comparison IntentUnderstanding roles in AI projects, job requirementsClarifying data labeling tasks and skills needed

Ai Tasks involve a range of activities related to training AI models, including data labeling, model testing, and algorithm development. Data Annotators specifically focus on labeling and annotating datasets to train machine learning models. While both roles support AI development, Ai Tasks encompass broader responsibilities, whereas Data Annotators primarily handle data preparation.

Ai Task jobs near you
Infographic showing various Ai Task job openings in Minnesota as of September 2026, with employment types broken down into 25% Full Time, 50% Part Time, and 25% Contract. Highlights an 100% In-person job distribution.

AI Prompt Engineers

Minneapolis, MN • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Motion Recruitment Partners, LLCexternal

Other

Re-posted 8 days ago

Job description

Outstanding contract opportunity! A well-known Financial Services Company is looking for a Prompt Engineer in Charlotte, NC (hybrid 3 days on-site).
As a Prompt Engineer, you will play a crucial role in our AI development team by designing and developing prompts that enable optimal performance from our AI models and algorithms. Your skills in crafting clear, effective, and engaging prompts will be vital to advancing the capabilities and accuracy of our AI systems.
Contract Duration: 12+ Months
Required Skills & Experience
  • AI harness development" - writing complex, context-aware prompts
  • Dev background flexible (Python, Go, .NET, etc.) - general coding ability valued over specific language
  • DB experience: Postgres, Elastic, Cloud SQL
  • Nice-to-have (lower priority): cloud computing, GKE, Kubernetes
  • Cyber background is essential
  • Model-agnostic (OpenAI, Anthropic, even non-US frontier models) - prioritizes demonstrated prompting ability + cyber context over which tool they've used
  • Years of experience less important than raw aptitude/drive, since this is a new field

What You Will Be Doing
  • Work closely with AI researchers and developers to gather project requirements and align on objectives.
  • Create a wide variety of prompts tailored to different AI tasks and applications.
  • Innovate and experiment with new techniques for generating prompts that drive better model performance.
  • Conduct in-depth research to find and curate relevant data sources to support prompt development.
  • Develop prompts engineered to elicit precise and meaningful responses, ensuring alignment with desired outcomes.
  • Continuously test, refine, and optimize prompts based on feedback and performance metrics from AI models.
  • Analyze model outputs to make data-driven enhancements to prompt effectiveness.
  • Keep abreast of the latest trends and developments in NLP and AI technologies.
  • Collaborate with multiple teams to ensure the smooth integration of prompts within AI-driven applications.

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