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Remote Generative Ai Sales Jobs in Virginia (NOW HIRING)

$50/hr

Proven knowledge and expertise in generative AI applications, including deep generative modeling ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

AI/ML Engineer, Mid

Chantilly, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245169 Location: Chantilly,VA,US Share job via: Share AI/ML Engineer ... Experience working with LLMs, generative AI systems, or agentic frameworks * Experience with Python ...

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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.

What are the most commonly searched types of Generative Ai Sales jobs in Virginia?

The most popular types of Generative Ai Sales jobs in Virginia are:

What job categories do people searching Remote Generative Ai Sales jobs in Virginia look for?

The top searched job categories for Remote Generative Ai Sales jobs in Virginia are:

What cities in Virginia are hiring for Remote Generative Ai Sales jobs?

Cities in Virginia with the most Remote Generative Ai Sales job openings:

Research Intern on Generative and Protective AI for Content Creation

Sony

Annandale, VA โ€ข On-site, Remote

$50/hr

Full-time

Re-posted 6 days ago


Key responsibilities

  • Investigate and apply novel algorithms related to the generation and editing of video, sound, and 3D visual geometry.

  • Analyze and develop techniques to identify and mitigate ethical flaws in generative models, including memorization detection, concept erasure, and data attribution.

  • Publish research findings in top-tier conferences.


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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