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Remote Generative Ai Sales Jobs (NOW HIRING)

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

Nebraska, Remote Categories: Information Technology Mutual Of Omaha is seeking an experienced ... This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI ...

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

AI/ML Architect Remote JD- * AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives. * * Design and lead AI architecture for business use cases

Arize AI

AI Sales Engineer, US

$140K - $210K/yr

We are looking for an AI Sales Engineer (Solutions Architect) to join the good fight and get this ... While we are a remote-first company, we have opened offices in New York City and the San Francisco ...

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Remote Generative Ai Sales information

What is a remote generative AI sales?

A Remote Generative AI Sales job involves selling generative artificial intelligence solutions, such as AI-powered content creation tools or language models, to businesses or clients. Professionals in this role work from home or another remote location and are responsible for identifying potential customers, explaining the benefits of generative AI products, and closing sales deals. They need a good understanding of generative AI technologies, strong communication skills, and experience in sales. This role often requires collaborating with technical teams to ensure customer needs are met and keeping up with the latest AI trends to effectively pitch products.

What are the key skills and qualifications needed to thrive as a remote generative AI sales professional?

To thrive as a Remote Generative AI Sales professional, you need a solid understanding of AI concepts, proven sales experience, and a track record of meeting targets, often supported by a bachelor's degree in business, technology, or a related field. Familiarity with CRM tools like Salesforce, AI product platforms, and virtual communication systems is typically required. Excellent communication, relationship-building, and self-motivation are crucial soft skills for engaging clients and managing remote work. These competencies ensure you can effectively educate clients, close deals, and drive revenue in the fast-evolving AI market.

What are some common challenges faced by professionals in remote generative AI sales, and how can they be addressed?

One of the main challenges in Remote Generative AI Sales is effectively communicating complex technical concepts to clients who may not have a deep technical background. Building trust and credibility remotely requires clear explanations, regular follow-ups, and tailored demonstrations that address specific client needs. Additionally, coordinating with technical teams and product experts across different time zones can be challenging, so strong organizational and communication skills are essential. Staying current with rapidly evolving AI advancements is also crucial for success in this role.

What is the difference between Remote Generative Ai Sales vs Remote AI Sales?

AspectRemote Generative Ai SalesRemote AI Sales
Required CredentialsSales experience, knowledge of AI/Generative AISales experience, general AI knowledge
Work EnvironmentRemote, tech-focused companiesRemote, tech or software companies
Industry UsagePrimarily in AI and tech sectors developing Generative AI productsBroader AI industry, including various AI solutions

Remote Generative Ai Sales focuses on selling products related to Generative AI technologies, requiring specific AI knowledge. Remote AI Sales covers a wider range of AI solutions, with a broader industry application. Both roles are remote, but Generative AI Sales emphasizes specialized AI expertise and target markets.

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Generative AI Associate - Flexible Hours

Innodata Inc.

Remote

$15/hr

Full-time, Part-time

Re-posted 9 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

166th of 247 rated software companies

Job description

Scope of the Role: 

At Innodata, we're partnering with the world's leading technology companies to build the future of generative AI and large language models (LLMs). We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It's a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact-on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You'll be helping LLMs learn the intricacies of language and reasoning-not just how to write, but how to think. If you've ever dreamed of shaping the intelligence behind tomorrow's technology, this is your chance. 

This is more than just a gig-it's a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You'll Own:

  • Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  
  • Labeling elements of a piece of content rather than the content as a whole.  
  • Assigning predefined categories or labels to items.  
  • Evaluating the perceived quality and/or appropriateness of content  
  • Generating labels to advance understanding of a concept, trend etc.  
  • Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  
  • Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  
  • Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 
  • Ordering or ranking items based on a set of preferences or criteria.  
  • Creating prompts or questions that will be used to generate responses from a language model or other AI system.  
  • Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  
  • Generating responses to prompts or questions using a language model or other AI system.  
  • Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  
  • Producing concise summaries of longer pieces of text or data.  
  • Converting spoken language or audio content into written text.  
  • Converting text or spoken language from one language to another.  
  • Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.

You'll Thrive in This Role If You Have:

  • A Bachelor's degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master's or PhD)
  • Professional or Expert level proficiency (C1/C2) in English 

The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.

What Innodata employees say

Hours and flexibility

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