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Remote Generative Ai Engineer Jobs in Kansas (NOW HIRING)

Locatee AG

$97K/yr

We are looking for an AI Workflow Engineer (Internal) to build & maintain the internal AI tools ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

PICTOR LABS INC

$89K - $123K/yr

Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... Deep understanding of computer vision model architectures, particularly generative models (GANs ...

Epiq

Lead AI Software Engineer

Overland Park, KS · Remote

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

Epiq

Lead AI Software Engineer

Kansas City, KS · Remote

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

Locatee Ag

Partner with Product and AI Engineering to define jobs-to-be-done for agent-powered workflows and ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Locatee AG

Partner with Product and AI Engineering to define jobs-to-be-done for agent-powered workflows and ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Scopely

$108K - $143K/yr

Explore and integrate emerging technologies, including generative AI, to accelerate development and ... engineers, and execs alike. * Quantitative fluency. An ability to see what numbers do and don't say ...

CrowdStrike

You will champion engineering excellence, focusing on shipping fast, writing elegant, high-quality ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

Trend Micro

Reverse engineer and research network protocols, file formats, and software * Develop and verify ... the generative-AI agent era and enabling enterprises to stay ahead of evolving threats. What We ...

Ascend Learning

Manager User Experience

Leawood, KS · On-site +1

$113K/yr

Model and champion responsible, high-leverage use of AI tools, including Claude, generative design ... Partner closely with Product Management, Engineering, and stakeholders to align UX efforts with ...

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Remote Generative Ai Engineer information

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
What are the most commonly searched types of Generative Ai Engineer jobs in Kansas? The most popular types of Generative Ai Engineer jobs in Kansas are:
What are popular job titles related to Remote Generative Ai Engineer jobs in Kansas? For Remote Generative Ai Engineer jobs in Kansas, the most frequently searched job titles are:
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What cities in Kansas are hiring for Remote Generative Ai Engineer jobs? Cities in Kansas with the most Remote Generative Ai Engineer job openings:
Remote Generative Ai Engineer jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Topeka, KS • Remote

$90 - $120/hr

Part-time

Posted 10 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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