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Remote Ai Jobs in Kansas (NOW HIRING)

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How much do remote ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote ai in Kansas is $113,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $128,000.00 per year, depending on experience, location, and employer.

What is a remote AI?

A Remote AI job refers to a position where professionals work on artificial intelligence projects from a remote location. These roles can include machine learning engineers, data scientists, AI researchers, and software developers who build, improve, and maintain AI models and systems. Remote AI jobs allow professionals to collaborate online, using cloud-based tools and communication platforms to develop intelligent solutions for various industries.

What are the key skills and qualifications needed to thrive in the remote AI position?

To thrive as a Remote AI Engineer, you need expertise in machine learning, data analysis, and proficiency in programming languages like Python or R, supported by a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow or PyTorch and familiarity with cloud platforms (AWS, Azure, or Google Cloud) are commonly required, and certifications can add value. Excellent communication, self-motivation, and time-management skills are crucial for collaborating effectively in a distributed team environment. These skills ensure you can develop, deploy, and maintain AI solutions efficiently while working remotely with cross-functional teams.

What are common challenges faced by remote AI engineers, and how do teams typically address them?

Remote AI Engineers often encounter challenges such as collaborating across time zones, communicating complex technical concepts virtually, and maintaining alignment with rapidly evolving project goals. Companies usually address these by leveraging robust project management tools, scheduling regular virtual meetings, and encouraging active participation through collaborative platforms like Slack or GitHub. Teams may also implement documentation best practices and mentorship programs to foster skill sharing and support remote integration. With access to virtual collaboration resources and clear processes, remote engineers are empowered to contribute effectively and stay aligned with team objectives.

Can I get a remote AI job with no experience?

Remote AI jobs often require some background in programming, data analysis, or machine learning, but entry-level positions may be available for those with basic knowledge of tools like Python or TensorFlow. Gaining relevant skills through online courses, certifications, or personal projects can improve chances, even without prior professional experience.

How can I work from home with AI?

Working from home with AI involves roles such as AI developer, data scientist, or machine learning engineer, which typically require skills in programming, data analysis, and understanding AI frameworks. These jobs often involve remote collaboration tools and may require certifications in AI or related fields. Many companies offer remote AI positions that allow flexible schedules and home-based work environments.

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

The most popular types of Ai jobs in Kansas are:

What are popular job titles related to Remote Ai jobs in Kansas?

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

What job categories do people searching Remote Ai jobs in Kansas look for?

The top searched job categories for Remote Ai jobs in Kansas are:

What cities in Kansas are hiring for Remote Ai jobs?

Cities in Kansas with the most Remote Ai job openings:

Remote Ai jobs near you
Infographic showing various Remote Ai job openings in Kansas as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $113,293 per year, or $54.5 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Kansas City, KS • Remote

$80 - $110/hr

Part-time

Posted 16 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.

Apply