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Ai Lab Jobs in Kansas (NOW HIRING)

$97K/yr

The Internal AI Solution Architect is the first hire on the central AI Transformation team and the builder behind Tango's AI Lab. The role reports to the Head of AI Transformation and works directly ...

$97K/yr

The Internal AI Solution Architect is the first hire on the central AI Transformation team and the builder behind Tango's AI Lab. The role reports to the Head of AI Transformation and works directly ...

Travel Cath Lab Technician

Olathe, KS · On-site

$2.2K - $2.9K/wk

... call, AI-generated text, or email--you consent to receive communications regarding job ... Cath Lab Tech,08:00:00-18:00:00 About Zack Group Zack Group has been active in the medical staffing ...

Travel Cath Lab Technician

Olathe, KS · On-site

$2.2K - $2.9K/wk

... call, AI-generated text, or email--you consent to receive communications regarding job ... Cath Lab Tech,08:00:00-18:00:00 About Zack Group Zack Group has been active in the medical staffing ...

... call, AI-generated text, or email--you consent to receive communications regarding job ... Cath Lab,06:00:00-14:00:00 About Zack Group Zack Group has been active in the medical staffing ...

Shield AI is seeking an experienced Flight Test Engineer to plan, execute, analyze, and improve ... Strong troubleshooting skills in field and/or lab environments * Excellent communication skills and ...

Shield AI is seeking an experienced Flight Test Engineer to plan, execute, analyze, and improve ... Strong troubleshooting skills in field and/or lab environments * Excellent communication skills and ...

The Media Bias Detector uses AI, machine learning, human-in-the-loop raters to track and classify ... The Deliberation Lab is an open-science platform that enables researchers to conduct large-scale ...

Specialty: Electrophysiology Lab * Discipline: RN * Start Date: ASAP * Duration: 13 weeks * 40 ... call, AI-generated text, or email--you consent to receive communications regarding job ...

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... LabCorp is seeking a Clinical Lab Professional to join our team at Ascension Via Christi Hospital ...

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... LabCorp is seeking a Clinical Lab Professional to join our team at Ascension Via Christi Hospital ...

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... LabCorp is seeking a Clinical Lab Professional to join our team at Ascension Via Christi Hospital ...

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Showing results 1-20

Ai Lab information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or executive role, which offers compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in deep learning, data science, and experience with AI tools and frameworks, and they are usually found in large tech companies or specialized AI firms. Such positions are highly competitive and demand extensive expertise and leadership experience.

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

How to get a job at an AI lab?

To get a job at an AI lab, candidates should have a strong background in computer science, machine learning, or data science, often demonstrated through relevant degrees or research experience. Proficiency in programming languages like Python, experience with AI frameworks such as TensorFlow or PyTorch, and a portfolio of projects or publications can improve chances. Networking, internships, and staying updated on the latest AI advancements also help in securing positions in AI labs.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

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

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

Which AI job is high paying?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer salaries exceeding $100,000 annually, especially with experience and specialized skills in areas like natural language processing or computer vision.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

How much do AI scientists get paid?

AI scientists typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning, deep learning, or data analysis can command higher salaries, often exceeding $200,000.
What job categories do people searching Ai Lab jobs in Kansas look for? The top searched job categories for Ai Lab jobs in Kansas are:
What cities in Kansas are hiring for Ai Lab jobs? Cities in Kansas with the most Ai Lab job openings:
Infographic showing various Ai Lab job openings in Kansas as of July 2026, with employment types broken down into 70% Full Time, 26% Part Time, and 4% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution.

AI Workflow Engineer (Internal)

Locatee AG

On-site, Remote

$97K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Let's Tango. Where Innovation Meets Impact. At Tango Analytics, we're all about helping businesses make smarter decisions through powerful technology, insightful data, and a whole lot of collaboration.

Whether you're a creative thinker, a strategic planner, a tech wizard, or a customer champion, there's a place for you on our team. We believe work should be meaningful and fun - so if you're ready to make a difference while enjoying the journey, come join us and let's Tango. We are looking for an AI Workflow Engineer (Internal) to build & maintain the internal AI tools across the business.

Role Summary: Tango is building an AI-native operating model across every function (Go-To-Market, Tech, Finance, HR/Legal, and Services). The Internal AI Solution Architect is the first hire on the central AI Transformation team and the builder behind Tango's AI Lab. The role reports to the Head of AI Transformation and works directly across all internal functions to land AI in real workflows, not just in demos.

Key Responsibilities: Partner with leaders across Finance/RevOps, Go-To-Market, Services, HR/Legal, and Engineering to identify the highest-leverage opportunities to embed AI into real operating workflows (not one-off demos). Facilitate discovery: map current-state processes, quantify pain points, define "good" outcomes, and translate ambiguous needs into clear workflow requirements and success metrics. Build and maintain an AI workflow roadmap sequenced by business impact, readiness, and change capacity; align priorities with function leaders and the AI Transformation team.

Drive build-versus-buy assessments for each opportunity (SaaS tools, platforms, automation solutions), delivering a clear recommendation and implementation approach. Lead change management and enablement: run working sessions, produce playbooks, host trainings/brown bags, and coach teams to raise AI literacy and sustained adoption. Create reusable patterns and standards for "AI in internal tools" (workflow templates, governance checklists, measurement frameworks) so other teams can move faster.

Establish operational guardrails for AI-enabled workflows in partnership with Security, Legal, and Compliance (data handling, PII safety, access controls, prompt injection resilience, human-in-the-loop requirements). Define evaluation and monitoring expectations for workflows (accuracy/quality, safety, cost, latency, adoption); implement feedback loops so workflows improve over time. Required Skills: 6+ years of experience in internal consulting, business operations, business systems, product operations, solutions architecture, or an equivalent role that sits at the intersection of business and technology.

Must have software-engineering experience, including 4+ years shipping internal AI-native tools to production. Must have experience standing up an internal AI program, workflow automation COE, or "AI for employees" capability at a prior company. Experience in B2B SaaS, enterprise workflows, and/or regulated or high-compliance environments (privacy, security, auditability).

Strong stakeholder management: comfortable influencing across functions, aligning senior leaders, and driving decisions amid competing priorities. Ability to translate business problems into structured requirements, operating metrics, and phased delivery plans. AI fluency: understanding of how LLM-based systems work (prompting, retrieval, tool use/function calling at a conceptual level) and how to evaluate quality, risk, and cost/latency trade-offs.

Experience evaluating and implementing software solutions (build vs buy), including vendor assessment, security reviews, rollout planning, and ongoing ownership models. Comfort working with technical teams and artifacts (PRDs/briefs, user stories, acceptance criteria, basic data models). Ability to prototype in low-code/no-code tools is a must.

Strong analytical and measurement skills: can baseline, instrument, and report outcomes; can distinguish adoption activity from true impact. Excellent written and verbal communication: can create crisp briefs, run effective workshops, and communicate trade-offs to both technical and non-technical audiences. High ownership and bias to action; thrives in fast-moving SaaS environments with evolving AI tooling.

Bachelor's degree in a related field (Business, Information Systems, Engineering, Computer Science) or equivalent practical experience. What We Offer We're committed to creating an environment where you can thrive-professionally and personally. Our offerings include: Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value.

Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being. Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance. Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.

Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status. Base pay offered is contingent on qualifications and other operational considerations.

Base pay is just one piece of the full compensation structure offered at Tango. If this pay range is outside of your expectations, we still encourage you to apply and have a conversation with us. Base pay offered for this position is: $170,000 - $220,000 *Applicants must be authorized to work in the U.S

for any employer. *We cannot sponsor employment-based visas at this time.