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Remote Virtual Stylist Jobs (NOW HIRING)

Sally Beauty

MANAGER FIELD TRAINING

Plano, TX · Remote

Design blended learning modules (live workshops, virtual sessions, e-learning, and field ... Franchisee and stylist engagement scores (NPS or AES metrics). Knowledge, skills & abilities ...

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Remote Virtual Stylist information

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$8

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$28

How much do remote virtual stylist jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote virtual stylist in the United States is $18.84, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $24.04 per hour, depending on experience, location, and employer.

What is a Remote Virtual Stylist?

A Remote Virtual Stylist is a fashion professional who provides personalized styling advice and wardrobe recommendations to clients online, rather than in person. Using video calls, chat, or specialized platforms, they assess clients' style preferences, body types, and needs to curate outfits and shopping suggestions. This role allows clients to access expert fashion advice from anywhere, making style consultations more convenient and accessible.

What are the key skills and qualifications needed to thrive as a Remote Virtual Stylist, and why are they important?

To thrive as a Remote Virtual Stylist, you need a solid understanding of fashion trends, body types, and color theory, often supported by a background in fashion or styling. Familiarity with virtual styling platforms, video conferencing tools, and digital mood board applications is typically required. Excellent communication, active listening, and adaptability are crucial soft skills for building rapport with clients and understanding their personal style needs remotely. These skills ensure personalized, effective styling advice and high client satisfaction in a competitive, online environment.

How does a Remote Virtual Stylist typically collaborate with clients and team members to deliver personalized fashion recommendations?

As a Remote Virtual Stylist, you will primarily interact with clients through digital platforms such as video calls, chat, or email, gathering information about their style preferences, body type, and wardrobe needs. Collaboration with team members, such as other stylists and customer support staff, often takes place via internal messaging tools and regular virtual meetings to discuss trends, share client insights, and coordinate on curated looks. The role requires strong communication skills and the ability to leverage digital resources to ensure each client receives personalized and consistent styling advice, while also keeping up with evolving fashion trends as a team.

What is the difference between Remote Virtual Stylist vs Remote Fashion Consultant?

AspectRemote Virtual Stylist

Remote Virtual Stylists and Remote Fashion Consultants often share similar credentials, such as fashion knowledge and client service skills. Both work remotely, providing styling advice via online platforms. Employers in retail, fashion brands, and personal styling services frequently utilize both roles. The main difference lies in focus: Remote Virtual Stylists typically assist with personal styling, outfit selection, and wardrobe updates, while Remote Fashion Consultants may offer broader fashion advice, trend analysis, and brand recommendations. Both roles are in high demand for online styling services and require strong communication skills.

More about Remote Virtual Stylist jobs
What cities are hiring for Remote Virtual Stylist jobs? Cities with the most Remote Virtual Stylist job openings:
What are the most commonly searched types of Virtual Stylist jobs? The most popular types of Virtual Stylist jobs are:
What states have the most Remote Virtual Stylist jobs? States with the most job openings for Remote Virtual Stylist jobs include:
What job categories do people searching Remote Virtual Stylist jobs look for? The top searched job categories for Remote Virtual Stylist jobs are:
Remote Virtual Stylist jobs near you
Infographic showing various Remote Virtual Stylist job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution, with an average salary of $39,190 per year, or $18.8 per hour.
Chatbot Developer - Conversational AI

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 2 days ago

Job description

Role: Chatbot Developer - Conversational AI

Location: Remote (US) EST hours

Duration: 3 months

  

Role Overview
We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implantations and designing, building, and optimizing our next-generation conversational experiences. In this role, you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. You will be responsible for maintaining our robust enterprise foundations while actively driving our migration strategy toward autonomous agent frameworks.
 
The ideal candidate possesses a deep technical background in the Microsoft conversational ecosystem, a strong understanding of enterprise integration layers, and a passion for delivering seamless, human-like, yet transparent user experiences.
 
Key Responsibilities
  • End-to-End Development: Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots, virtual assistants, and AI agents.
  • Architecture Migration: Maintain and optimize our current Azure Bot Framework SDK v4 stack while actively participating in the architectural migration toward Microsoft Foundry and Agents 365 Azure SDK.
  • Enterprise Integration: Design and implement robust API integrations using MuleSoft as the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems, including PeopleSoft and Salesforce.
  • Omnichannel Dialog Management: Author and manage rich, dynamic conversational interfaces using Microsoft Dynamics Adaptive Cards, Knowledge Management systems, and Automation Flows across web, mobile, and messaging channels.
  • Live Chat and Case Management: Build seamless escalation protocols, including live agent handoffs to Salesforce Live Chat and automated ticket routing via Salesforce Case Management APIs.
  • NLU and LLM Orchestration: Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing, fallback handling, and contextual content generation.
  • Performance Optimization: Analyze conversation logs, containment rates, and intent accuracy metrics using data visualization tools to continuously optimize conversational flows and minimize hallucinations.
  • Cross-Functional Collaboration: Partner closely with Product Managers, UX Designers, and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.
 
Technical & Professional Qualifications
Required Experience
  • 3+ years of dedicated experience in software development with a specialized focus on Conversational AI, NLP/NLU, or LLM agent development.
  • Microsoft Bot Stack Expertise: Deep, hands-on proficiency with Azure Bot Framework SDK v4 (including Waterfall Dialogs, custom middleware, and state management) alongside experience or strong theoretical knowledge of Copilot Studio / Agents 365.
  • Core Backend Skills: Strong programming fundamentals with advanced proficiency in C#, .NET, and JavaScript, combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
  • Enterprise Systems Integration: Direct experience working with MuleSoft layers to pull/push data from legacy enterprise platforms like PeopleSoft and CRM systems like Salesforce.
 
Preferred Qualifications
  • Data and State Management: Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
  • Analytics Driven: Familiarity utilizing Power BI or Azure Application Insights to analyze drop-off points, intent confusion matrices, and chatbot containment metrics.
  • Modern DevOps: Experience defining and maintaining CI/CD pipelines for conversational assets across Dev, Test, and Production environments.
  • Industry Context: Experience implementing conversational solutions within Higher Education or complex, multi-stakeholder enterprise environments is a plus.
  • Soft Skills: Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.
 
Benefits & Culture
  • Cutting-Edge Innovation: Be part of a forward-thinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
  • Impact-Driven Work: Build tools that directly solve user pain points, handling high-volume transactions with immediate real-world impact.
  • Professional Growth: Work in a fast-paced environment that actively supports upskilling in Generative AI, LLM orchestration, and next-generation Microsoft AI technologies.