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Remote Generative Ai Jobs in Haslet, TX (NOW HIRING)

AI Lead Engineer (Remote)

Dallas, TX ยท Remote

$104K - $138K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI ... Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt Engineering

New

AI Lead Engineer

Dallas, TX ยท Remote

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

New

AI Lead Engineer

Dallas, TX ยท On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

New

Senior AI Product Associate, IT

Dallas, TX ยท On-site +1

$104K - $160K/yr

Apply generative-AI capabilities relevant to professional services - LLMs, document intelligence ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

Irving, TX (Remote) Job Type: Contract We are rapidly expanding our team and seeking highly skilled ... Exposure to Generative AI concepts and their practical application. A strong focus on Applied AI ...

Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations ... Remote Our Approach to Office Workplace Type Certain positions outside our branch network may be ...

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Remote Generative Ai information

See Haslet, TX salary details

$15.1K

$139.9K

$180.2K

How much do remote generative ai jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote generative ai in Haslet, TX is $139,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,300.00 and $158,000.00 per year, depending on experience, location, and employer.

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 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 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 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 are the most commonly searched types of Generative Ai jobs in Haslet, TX? The most popular types of Generative Ai jobs in Haslet, TX are:
What cities near Haslet, TX are hiring for Remote Generative Ai jobs? Cities near Haslet, TX with the most Remote Generative Ai job openings:
Infographic showing various Remote Generative Ai job openings in Haslet, TX as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution, with an average salary of $139,866 per year, or $67.2 per hour.

AI Lead Engineer (Remote)

Delan Associates, Inc

Dallas, TX โ€ข Remote

$104K - $138K/yr

Full-time

Posted 2 days ago

New


Job description

AI Lead Engineer

Dallas, TX (REMOTE)

15+ Years


Must-Have Skills

* Artificial Intelligence (AI) & Machine Learning (ML)

* Deep Learning

* Generative AI (GenAI)

* Large Language Models (LLMs)

* Prompt Engineering

* Retrieval-Augmented Generation (RAG)

* Embeddings & Vector Databases

* Fine-tuning LLMs

* Python

* TensorFlow

* PyTorch

* Scikit-learn

* Data Preprocessing & Feature Engineering

* Model Training, Validation & Evaluation

* Statistics & ML Algorithms

* MLOps

* CI/CD Pipelines

* Docker

* Kubernetes

* REST APIs & Microservices

* Cloud Platforms (Azure / AWS / GCP)

* AI Model Deployment & Productionization

* Security, Privacy & Responsible AI

* Problem Solving & Analytical Skills

* Agile/Scrum

Preferred (Good to Have):

* Retail domain experience

* Enterprise Transformation projects

* Model Governance

* Stakeholder Management

* Excellent Communication Skills