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Remote Ai Jobs in Springfield, MO (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Springfield, MO · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

AI Training Expert - US Tax Law

Springfield, MO · Remote

$65 - $70/hr

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The core work is reading US sales and use tax statutes and defining exactly what an AI's formal translation ...

micro1 AI

Accountant - Remote

Springfield, MO · Remote

$20 - $30/hr

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... No prior AI experience needed. Your ability to read a statute and break it into precise, testable ...

micro1 AI

CPA - Tax Consultant - Remote

Springfield, MO · Remote

$65 - $70/hr

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... No prior AI experience needed. Your ability to read a statute and break it into precise, testable ...

micro1 AI

Medical Writing Manager

Springfield, MO · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer's project focused on developing advanced AI-assisted writing tools for clinical documentation. In ...

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Remote Ai information

See Springfield, MO salary details

$76K

$115.6K

$155.5K

How much do remote ai jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote ai in Springfield, MO is $115,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $130,500.00 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 popular job titles related to Remote Ai jobs in Springfield, MO?

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

What job categories do people searching Remote Ai jobs in Springfield, MO look for?

The top searched job categories for Remote Ai jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Ai jobs?

Cities near Springfield, MO with the most Remote Ai job openings:

Remote Ai jobs near you
Infographic showing various Remote Ai job openings in Springfield, MO as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $115,551 per year, or $55.6 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Springfield, MO • Remote

$80 - $110/hr

Part-time

Posted 21 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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