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Remote Generative Ai Jobs in Lexington, SC (NOW HIRING)

Toptal

VP, AI Services - US-Based

North, SC · Remote

This is a remote position. Applicants must be authorized to work in the US at the time of hire ... Now Assist, Virtual Agent, Predictive Intelligence, ITOM AIOps, NLU, and generative AI integrations.

Greenlight Guru

Sr. Software Engineer I

North, SC · On-site +1

$113K - $149K/yr

Hands-on experience with large language models (LLMs), generative AI APIs, and intelligent ... Remote-first culture * Home Office stipend upon hire * Multiple Health insurance options (vision ...

Connection

Sr Solution Architect, 0365 - Remote

SC · Remote

$120K - $156K/yr

Microsoft 365 Copilot and generative AI solutions (horizontal and vertical) * Microsoft Entra ID, Conditional Access, Identity Governance, and Zero Trust Security * Microsoft Intune, Endpoint Manager ...

Connection

Sr Solution Architect, 0365 - Remote

SC · On-site +1

$120K - $156K/yr

Microsoft 365 Copilot and generative AI solutions (horizontal and vertical) * Microsoft Entra ID, Conditional Access, Identity Governance, and Zero Trust Security * Microsoft Intune, Endpoint Manager ...

All JobsGenerative Ai JobsRemote Generative Ai JobsRemote Generative Ai Jobs in Lexington, SC

Remote Generative Ai information

See Lexington, SC salary details

$13.7K

$126.9K

$163.5K

How much do remote generative ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote generative ai in Lexington, SC is $126,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $143,400.00 per year, depending on experience, location, and employer.

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

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

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What are the best remote generative AI jobs?

Remote generative AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, focusing on developing and deploying AI models like GPT or DALL·E. These positions often require skills in programming, deep learning frameworks, and experience with large language models, with many opportunities available through tech companies, research institutions, and startups. They typically offer flexible schedules and may require certifications or advanced degrees in computer science or related fields.

What jobs can I get with remote generative AI?

Remote generative AI skills can qualify you for roles such as AI content developer, machine learning engineer, data scientist, or AI research scientist. These positions often require knowledge of AI frameworks, programming languages like Python, and experience with large language models or neural networks. Many of these jobs are available in tech companies, research institutions, and startups, often with flexible schedules and remote work options.

What are popular job titles related to Remote Generative Ai jobs in Lexington, SC?

For Remote Generative Ai jobs in Lexington, SC, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai jobs in Lexington, SC look for?

The top searched job categories for Remote Generative Ai jobs in Lexington, SC are:

What cities near Lexington, SC are hiring for Remote Generative Ai jobs?

Cities near Lexington, SC with the most Remote Generative Ai job openings:

Remote Generative Ai jobs near you

AI Consultant - Contract - Columbia, SC

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Full-time

Posted 21 days ago

Job description

AI Consultant SME Location: Fully Remote with occasional onsite visits required. Interview Process: 1 round, Virtual/Online Duration: 12 Months Employment Type: Contract Experience Required: 05+ Years Candidate location: No South Carolina residency required. Open to nationwide candidates; must be able to work eastern time zone hours.

All travel-related costs for onsite work will be the responsibility of the resource, regardless of the frequency of onsite work. Project Scope: We are seeking an experienced AI Consultant SME to provide technical leadership in the evaluation, design, and responsible implementation of Artificial Intelligence solutions. The ideal candidate will support enterprise AI initiatives by assessing AI use cases, evaluating AI platforms and vendors, developing secure AI architectures, and implementing scalable AI solutions aligned with governance, security, and privacy standards.

Key Responsibilities: Support the development and implementation of enterprise AI strategies. Evaluate AI use cases, vendors, and platforms to ensure compliance with organizational standards. Promote standardized AI governance, processes, and best practices.

Design secure AI architectures and reusable technical patterns. Develop AI prototypes and conduct proof-of-concept (POC) and feasibility assessments. Design and implement AI agents and Retrieval-Augmented Generation (RAG) solutions.

Build dashboards and reports to monitor AI adoption, performance, costs, risks, and operational outcomes. Integrate AI capabilities with Azure and AWS cloud platforms. Provide technical guidance, documentation, and knowledge transfer to stakeholders.

Stay current with emerging AI technologies, tools, and industry best practices. Required Skills & Experience: 5+ years of overall IT experience. 1+ year of experience establishing proof-of-concept success criteria and evaluating AI solutions.

2+ years of hands-on experience with ChatGPT, Microsoft Copilot, and similar Generative AI platforms. 2+ years of experience designing and implementing AI agents and Retrieval-Augmented Generation (RAG) solutions. 1+ year of experience using AI-assisted coding tools for development, testing, debugging, and documentation.

1+ year of experience defining AI use case success criteria, KPIs, and production monitoring metrics. 1+ year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes. 1+ year of hands-on experience integrating AI capabilities with Azure and AWS.

Strong analytical, problem-solving, and communication skills. Preferred Skills: Experience with multiple programming languages and software development principles. Knowledge of Artificial Neural Networks (ANNs), Transformers, Natural Language Processing (NLP), image classification, and time-series analysis.

Experience with data storage, retrieval, and data cleansing techniques. Experience delivering complex enterprise AI projects. Education Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (required).

Advanced degree is preferred.

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