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Remote Generative Ai Jobs in Texas (NOW HIRING)

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AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Develop generative AI solutions for text generation, summarization, audio-to-text transcription ...

US Ghost Adventures

AI Content Creation

Houston, TX · On-site +1

$42K/yr

... Generative AI & Content Design) Company: US Ghost Adventures & Tourismo Job Type: Full-Time Department: Creative Team Salary: $42,000 / year + insurance + PTO + sick + holiday Location: Remote from ...

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AI Engineer (Remote)

Austin, TX · On-site +1

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... You are fluent in the full generative AI stack-LLMs, embeddings, vector databases, semantic search ...

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AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... You are fluent in the full generative AI stack-LLMs, embeddings, vector databases, semantic search ...

Blue Cross of Idaho

AI Technical Lead

Meridian, TX · On-site +1

... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Develop and deploy machine learning and generative AI solutions that support enterprise use cases.

NTT DATA Services

Senior AI/ML Engineer - Hybrid

Irving, TX · On-site +1

$87K - $151K/yr

Integrate processed datasets with generative AI models to support realworld business use cases ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · Remote

... Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

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Remote Generative Ai information

What are some 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 are the key skills and qualifications needed to thrive as a Remote Generative AI Specialist, and why are they important?

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.

Is generative AI a good career?

A career in generative AI offers opportunities in developing and deploying AI models, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with high demand for expertise, making it a promising option for those interested in AI technology and innovation.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such roles are rare and generally found in large tech companies or specialized AI firms.

Which 3 jobs will survive AI?

For a Remote Generative AI role, jobs that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative content creators, and AI trainers or annotators. These roles involve nuanced decision-making, understanding context, and overseeing AI outputs, which are difficult to fully automate. Skills in critical thinking, domain expertise, and collaboration will remain valuable in AI-related fields.

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.

Can you work in AI remotely?

Remote Generative AI roles are common in the industry, allowing professionals to work from various locations. These jobs typically require strong skills in machine learning, programming, and familiarity with AI tools, and often involve collaboration through online platforms. Many companies offer flexible schedules and remote work arrangements for AI specialists.

What is a Remote Generative AI job?

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 are the most commonly searched types of Generative Ai jobs in Texas? The most popular types of Generative Ai jobs in Texas are:
What are popular job titles related to Remote Generative Ai jobs in Texas? For Remote Generative Ai jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai jobs in Texas look for? The top searched job categories for Remote Generative Ai jobs in Texas are:
What cities in Texas are hiring for Remote Generative Ai jobs? Cities in Texas with the most Remote Generative Ai job openings:
Remote Generative Ai jobs near you
Infographic showing various Remote Generative Ai job openings in Texas as of July 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 100% Remote job distribution.
Senior Software Engineer - Generative AI & ML, Customer Systems

Senior Software Engineer - Generative AI & ML, Customer Systems

Apple

Austin, TX • On-site, Remote

Full-time

Posted 15 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Customer Systems is part of IS&T and drives the technology behind Apple's customer support experience - from contact center operations to the software powering the iconic Genius Bar. The team also builds and operates AppleCare's online support platform, which handles 6 billion visits per year, delivering seamless, high-quality support to Apple customers around the globe.
At Apple, we are driven to deliver exceptional experiences through ultra-fast, thoughtfully designed, and meticulously crafted solutions. Our team is not just any group; we are a highly motivated, fast-paced, and dynamic collective of professionals committed to scaling new heights and achieving excellence. We seek individuals who strive beyond mediocrity and are relentless in their pursuit of perfection.
Contribute to model development and fine-tuning workflows for generative AI features.
Design and evaluate retrieval strategies for grounding large models in product-relevant data.
Prototype and benchmark multi-agent collaboration systems for structured reasoning tasks.
Partner with data and platform engineers to ensure scalable deployment and monitoring.
Description
Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.
Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
The Customer Support AI team is responsible for building multi-turn, conversational, agentic applications and frameworks to support Apple customers across numerous lines of business. You’ll be contributing hands on to a team that consists of engineers, data scientists & researchers to enhance a multi-modal, multi-agent platform with a key focus on incorporating research to improve, latency, cost and customer experience. This is an incredible opportunity to contribute innovation & research to a well established generative AI platform within Apple. There is a huge amount of opportunity and growth within this space!
Preferred Qualifications
Proficiency in machine learning libraries (transformers, datasets).
Strong problem-solving and collaboration skills, with the ability to learn quickly and adapt to production-grade systems.
Experience working with Multi-modal LLMs to enable Voice capabilities is a plus or prior experience with STT, TTS systems.
Experience with deploying to cloud environments (AWS, GCP, on-remote hybrid) is required.
Minimum Qualifications
5+ years of hands-on experience in ML, backend engineering, data engineering
1-2 years of hands-on experience in training, fine-tuning, or evaluating LLMs
Foundational understanding of RAG architectures and vector-based retrieval systems
Strong experience partnering with business and engineering team to deliver AI solutions
Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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