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Vector Remote Jobs in Minneapolis, MN (NOW HIRING)

AI/ML Engineer

Minneapolis, MN · Remote

$106K - $131K/yr

Minneapolis, MN(Remote) 1. Design, develop, test, document, and deploy Salesforce solutions based ... pipelines using vector databases and Large Language Models (LLMs) for improved contextual ...

Sr AI/ML Engineer - Remote

Minnetonka, MN · On-site +1

$106K - $146K/yr

Design and implement retrieval-augmented generation (RAG) pipelines that integrate enterprise knowledge sources, vector search, embeddings, and LLM orchestration patterns * Support agentic AI ...

Sr AI/ML Engineer - Remote

Minnetonka, MN · On-site +1

$106K - $146K/yr

Design and implement retrieval-augmented generation (RAG) pipelines that integrate enterprise knowledge sources, vector search, embeddings, and LLM orchestration patterns * Support agentic AI ...

Cloud Security Engineer/Architect (Remote)

Eagan, MN · Remote

$66.75 - $88.75/hr

This remote contract-to-hire position can be originated in Falls Church, VA, Morrisville, NC or ... vectors. * Automated Guardrails (Policy as Code): Develop and enforce enterprise-wide security ...

Senior Software Engineer

Minneapolis, MN · Remote

$125K - $165K/yr

This opportunity is remote with a preference for candidates in the Twin Cities area (Minneapolis ... Own retrieval quality -- hybrid search combining vector, keyword, and metadata retrieval ...

Senior Software Engineer

Minneapolis, MN · On-site +1

$127K - $168K/yr

This opportunity is remote with a preference for candidates in the Twin Cities area (Minneapolis ... Own retrieval quality - hybrid search combining vector, keyword, and metadata retrieval ...

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... You can independently manage GIS tasks, including dataset design, spatial analysis using vector and ...

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Vector Remote information

See Minneapolis, MN salary details

$116.4K

$215K

How much do vector remote jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vector remote in Minneapolis, MN is $209,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $214,000.00 and $214,000.00 per year, depending on experience, location, and employer.

What is a Vector Remote?

Vector Remote jobs refer to employment opportunities offered by Vector Marketing that allow representatives to work remotely, typically selling CUTCO® products from home or any location with internet access. These positions often involve conducting virtual demonstrations, managing customer relationships online, and setting appointments through digital platforms. Remote roles offer flexible scheduling, making them attractive to students and those seeking supplemental income. Training and support are usually provided virtually, ensuring remote reps have the resources needed to succeed. This setup allows individuals to gain sales and communication experience without needing to work in a traditional office environment.

What skills and qualifications are needed to thrive as a Vector Remote?

To thrive as a Vector Remote Sales Representative, you need strong sales acumen, effective communication skills, and a high school diploma or equivalent. Familiarity with CRM software, virtual meeting platforms, and online order processing systems is typically required. Exceptional interpersonal skills, self-motivation, and resilience help individuals stand out in this role. These skills are crucial for building client relationships, meeting sales targets, and succeeding in a remote work environment.

What are some unique challenges faced when working as a remote sales representative for Vector Marketing?

As a remote sales representative for Vector Marketing, one of the main challenges is maintaining self-motivation and discipline, since you are often managing your own schedule without direct in-person supervision. Additionally, building rapport with customers virtually requires strong communication skills and adaptability to different digital platforms. You may also need to proactively seek feedback and support from your team, as remote work can sometimes feel isolating. However, the company offers regular virtual meetings, training, and resources to help you stay connected and succeed in your sales goals.

What is the difference between Vector Remote vs Data Analyst?

AspectVector RemoteData Analyst
Required CredentialsBachelor's degree in relevant field, technical skills in data toolsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentRemote, flexible hours, tech-focusedTypically office-based or remote, analytical and reporting tasks
Employer & Industry UsageTech companies, startups, remote-first organizationsBusiness, finance, healthcare, and various industries
Search & Comparison IntentRemote data roles, tech jobs, data-focused positionsData analysis careers, analytics roles, data reporting jobs

Vector Remote and Data Analyst roles often require similar technical skills and educational backgrounds. While Vector Remote emphasizes remote work environments and tech industry usage, Data Analysts are found across multiple industries with both remote and on-site options. Understanding these differences helps job seekers target the right roles based on work setting and industry focus.

Is a vector a remote job?

A vector is not a job but a term used in various fields such as mathematics, biology, and computer graphics. If referring to a specific job role, many remote positions exist that require skills like programming, design, or data analysis, which can often be performed from anywhere with internet access.

What are the most commonly searched types of Vector jobs in Minneapolis, MN?

The most popular types of Vector jobs in Minneapolis, MN are:

Infographic showing various Vector Remote job openings in Minneapolis, MN as of August 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 70% Physical, 6% Hybrid, and 24% Remote job distribution, with an average salary of $209,292 per year, or $100.6 per hour.

AI/ML Engineer

Noblesoft Technologies

Minneapolis, MN • Remote

$106K - $131K/yr

Contractor

Re-posted 21 days ago


Job description

Job Title: AI/ML Engineer
Location: Minneapolis, MN(Remote)
Job Description:    

1.    Design, develop, test, document, and deploy Salesforce solutions based on business needs.
2.    Develop and deploy AI/ML models for real-time decision-making and automation.
3.    Integrate AI/ML solutions into Salesforce CRM to enable intelligent data retrieval, personalized recommendations, workflow automation, forecasting, scoring, and opportunity insights.
4.    Enhance Salesforce applications with advanced AI features using both native (Einstein/Einstein GPT) and external technologies (Python-based models or Azure/AWS ML services).
5.    Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and Large Language Models (LLMs) for improved contextual understanding within Salesforce workflows.
6.    Extend platform functionality using Apex (Triggers/Classes), LWC, Aura Framework, Visualforce Pages, Apex APIs and web services.
MUST HAVE SKILLS    
1.    Bachelor's degree in Computer Science, Information Systems, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous
2.    5-7 years of experience in Power BI development and implementation
3.    AI/ML Expertise: Building and deploying models for real-time decision-making and automation.
4.    Integration Skills: AI/ML integration with Salesforce CRM (Einstein/Einstein GPT and external technologies like Python-based models or Azure/AWS ML services).
5.    Generative AI Knowledge: Familiarity with transformers, LLMs, and Retrieval-Augmented Generation (RAG) pipelines using vector databases.
6.    Automation Development: Creating AI-powered automation solutions, including Einstein Bots and custom bots for sales/service workflows.
7.    CI/CD Proficiency: Managing deployment processes using Git.
8.    Cloud Platforms: Experience with Azure/AWS ML services and enterprise-grade integrations.
9.    Security & Compliance: Ensuring data privacy, scalability, and reliability of AI models in production.
10.    Collaboration: Ability to work with product managers, engineers, and data teams for AI-driven enhancements.
11.    Continuous Improvement: Monitoring model accuracy and implementing feedback loops for better user experience