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Remote Ai Implementation Jobs in Dallas, TX (NOW HIRING)

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... AI/LLM applications. * Analyze performance bottlenecks and implement optimization strategies.

New

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

AI Engineer

Addison, TX ยท On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Implement function calling, tool use, and API integrations enabling LLMs to interact with ...

Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

Showing results 41-60

Remote Ai Implementation information

See Dallas, TX salary details

$26

$50

$79

How much do remote ai implementation jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote ai implementation in Dallas, TX is $50.85, according to ZipRecruiter salary data. Most workers in this role earn between $38.03 and $60.38 per hour, depending on experience, location, and employer.

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What are the key skills and qualifications needed to thrive as a remote AI implementation specialist?

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.

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

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What are the most commonly searched types of Ai Implementation jobs in Dallas, TX?

The most popular types of Ai Implementation jobs in Dallas, TX are:

What are popular job titles related to Remote Ai Implementation jobs in Dallas, TX?

For Remote Ai Implementation jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Ai Implementation jobs in Dallas, TX look for?

The top searched job categories for Remote Ai Implementation jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Ai Implementation jobs?

Cities near Dallas, TX with the most Remote Ai Implementation job openings:

Infographic showing various Remote Ai Implementation job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $105,776 per year, or $50.9 per hour.

GPU Programming Expert - Remote

YO AI Labs

Dallas, TX โ€ข Remote

$60 - $85/hr

Full-time

Posted 2 days ago

New


Job description

GPU Programming Expert - Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities
  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications
  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan