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Remote Prompt Engineering Jobs in Chanhassen, MN

UnitedHealth Group

Sr AI/ML Engineer - Remote

Minnetonka, MN · On-site +1

$106K - $146K/yr

Experience utilizing generative AI development tools (such as LangChain, Hugging Face, or prompt engineering frameworks) to build application solutions * Experience with vector databases, knowledge ...

UnitedHealth Group

Sr AI/ML Engineer - Remote

Minnetonka, MN · On-site +1

$106K - $146K/yr

Experience utilizing generative AI development tools (such as LangChain, Hugging Face, or prompt engineering frameworks) to build application solutions * Experience with vector databases, knowledge ...

UnitedHealth Group

Senior Software Engineer

Eden Prairie, MN · Remote

$124K - $164K/yr

Remote: You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on ... Experience with vector databases, prompt engineering patterns, or AI agent framework tools (e.g ...

UnitedHealth Group

Software Engineer

Eden Prairie, MN · Remote

Remote: You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on ... prompt engineering concepts * Experience working in regulated environments such as healthcare, ...

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Remote Prompt Engineering information

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$33

$48

How much do remote prompt engineering jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote prompt engineering in Chanhassen, MN is $33.63, according to ZipRecruiter salary data. Most workers in this role earn between $26.88 and $38.89 per hour, depending on experience, location, and employer.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What job categories do people searching Remote Prompt Engineering jobs in Chanhassen, MN look for?

The top searched job categories for Remote Prompt Engineering jobs in Chanhassen, MN are:

What cities near Chanhassen, MN are hiring for Remote Prompt Engineering jobs?

Cities near Chanhassen, MN with the most Remote Prompt Engineering job openings:

Remote Prompt Engineering jobs near you

Senior Manager, AI/ML Engineering - Remote

Eden Prairie, MN • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 895 rated healthcare providers

Good employer

Recommended by students

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Learn more about UnitedHealth Groupexternal

Full-time

Retirement

Posted 10 days ago

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Senior Manager of AI/ML Engineering within the Chief Digital Office, Consumer Engineering team, you will lead and manage the engineering team responsible for owning the intelligence layer of our digital solutions. In this remote leadership role, you will direct the strategy, design, evaluation, and operational delivery of enterprise AI components-including LLM workflows, RAG pipelines, agentic behaviors, classifiers, copilots, and AI evaluation frameworks. You will guide engineering talent to ensure all AI capabilities are useful, measurable, safe, performant, and fit for enterprise scale.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Lead, manage, and empower a high-performing engineering team responsible for designing, building, and deploying the intelligence layer for digital consumer applications
  • Direct the architectural strategy and technical execution for LLM workflows, prompt chains, agentic behaviors, RAG patterns, copilots, and classification/summarization systems aligned to business goals and risk profiles
  • Establish engineering standards, prompt strategies, tool-calling patterns, and safety guardrails to ensure AI solutions are explainable, testable, and governable across the enterprise
  • Drive team delivery and continuous improvement using enterprise-approved AI tools to streamline workflows, automate complex technical tasks, and optimize engineering velocity
  • Oversee the implementation of evaluation datasets, scoring rubrics, model-performance testing, and failure-mode analysis to continuously improve output quality, accuracy, latency, and cost efficiency
  • Evaluate emerging AI/ML trends, industry advancements, and novel architectures to inform solution design, technology roadmaps, and strategic innovation
  • Partner with Data Engineering leadership to ensure AI applications integrate with trusted, governed, and enterprise-grade data pipelines
  • Collaborate with cross-functional executive leadership, QA, Responsible AI, security, privacy, compliance, and architecture teams to ensure AI components fulfill enterprise compliance and risk standards
  • Champion production readiness, model observability, drift monitoring, and thorough technical documentation to enable steady-state supportability
  • Mentor, coach, and develop engineering talent, setting clear performance goals, conducting reviews, and cultivating an inclusive culture of engineering excellence

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, AI, or a related technical field, OR 4+ years of equivalent software/AI engineering experience in lieu of a degree
  • 8+ years of experience in software engineering, data science, machine learning, or AI engineering
  • 4+ years of practical engineering experience building and deploying production AI applications (including LLMs, RAG patterns, vector search, embeddings, prompt engineering, and agent frameworks)
  • 4+ years of strong hands-on Python engineering experience, including model APIs, orchestration frameworks, data pipelines, and evaluation tooling
  • 3+ years of technical leadership or engineering management experience leading and developing engineering teams
  • 3+ years of experience designing testable, governable AI workflows and applying Responsible AI practices (mitigating hallucination risks, bias/fairness concerns, and model safety risks)

Preferred Qualifications:
  • Proven experience leading engineering teams in building and scaling LLM-enabled applications and copilots within enterprise settings
  • Demonstrated experience establishing controlled testing, evaluation frameworks, scoring rubrics, and model monitoring prior to broad rollout
  • Experience developing AI/ML solutions within healthcare, consumer digital platforms, or large-scale consumer applications
  • Proven professional background as an ML Engineer, AI Engineer, Applied Scientist, Data Scientist with engineering depth, or Forward-Deployed Engineer with AI specialization
  • Proven solid cross-functional collaboration skills with Responsible AI, security, legal, compliance, and enterprise architecture teams

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $148,900 - $255,300 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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