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Ai Support Jobs in Kansas (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Olathe, KS · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Deliver structured feedback designed to support iterative enhancement of submitted work and project ...

micro1 AI

AI Training Specialist - Physics

Topeka, KS · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Deliver structured feedback designed to support iterative enhancement of submitted work and project ...

micro1 AI

AI Training Specialist - Physics

Kansas City, KS · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Deliver structured feedback designed to support iterative enhancement of submitted work and project ...

micro1 AI

AI Training Specialist - Physics

Wichita, KS · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Deliver structured feedback designed to support iterative enhancement of submitted work and project ...

Velora

$22 - $24/hr

Strong Excel skills; uses templates, automation, and AI support to move faster without sacrificing accuracy. * Builds trust with customers through proactive updates, clear expectations, and ...

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Ai Support information

What is an AI Support?

An AI Support job involves assisting users or businesses in utilizing artificial intelligence tools effectively. Responsibilities may include troubleshooting AI-related issues, providing guidance on AI functionalities, and optimizing AI solutions for specific needs. AI Support professionals may work with chatbots, machine learning systems, or automation tools to enhance user experience and operational efficiency. Strong problem-solving skills and technical knowledge are typically required for this role.

What are the key skills and qualifications needed to thrive in the AI Support position, and why are they important?

To thrive as an AI Support professional, you need a solid understanding of artificial intelligence and machine learning concepts, technical troubleshooting skills, and typically a background in computer science or information technology. Familiarity with tools like ticketing systems (e.g., Zendesk or Jira), cloud platforms, and AI frameworks such as TensorFlow or PyTorch is often required. Excellent problem-solving abilities, patience, and strong communication skills help distinguish top performers in this field. These competencies are critical for effectively assisting users, resolving complex AI-related issues, and ensuring smooth operation of AI-powered systems.

What are some common challenges AI Support professionals face on the job?

AI Support professionals often encounter issues such as diagnosing complex technical problems, keeping up with rapidly evolving AI technologies, and translating highly technical solutions into understandable guidance for non-technical users. Working in AI support may involve collaborating closely with software engineers, data scientists, and end-users to ensure systems run smoothly and efficiently. Additionally, professionals in this field must be adept at handling high volumes of support requests and managing competing priorities. These challenges underscore the importance of continuous learning and clear communication in providing exceptional support. Overcoming these hurdles offers valuable experience and can open doors to advanced roles within AI and IT support teams.

What is the easiest AI support job to get into?

An entry-level AI support role typically requires basic technical skills, such as familiarity with AI tools, customer service experience, and problem-solving abilities. Positions may involve assisting users with AI applications or troubleshooting, often requiring minimal formal certifications and offering on-the-job training.

What jobs are needed to support AI?

Supporting AI requires roles such as AI engineers, data scientists, machine learning engineers, data annotators, and AI research scientists. These jobs involve developing algorithms, managing large datasets, training models, and ensuring ethical AI deployment, often requiring skills in programming, statistics, and familiarity with AI tools like TensorFlow or PyTorch.

What are the most commonly searched types of Ai Support jobs in Kansas?

The most popular types of Ai Support jobs in Kansas are:

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For Ai Support jobs in Kansas, the most frequently searched job titles are:

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What cities in Kansas are hiring for Ai Support jobs?

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Ai Support jobs near you
Infographic showing various Ai Support job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, and 6% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Kansas City, KS • Remote

$80 - $110/hr

Part-time

Posted 14 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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