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Ai Manager Remote Jobs in Springfield, MO (NOW HIRING)

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 ...

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... AI-enabled contract review, intake, automation, and knowledge management. * Help shape scalable ...

Technical Scientist - SME

Springfield, MO · On-site +1

$150K - $235K/yr

Able to work independently and manage priorities without significant hand-holding. What Would be ... Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation.

Ai Manager Remote information

See Springfield, MO salary details

$26.4K

$95.1K

$107.3K

How much do ai manager remote jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ai manager remote in Springfield, MO is $95,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $106,000.00 per year, depending on experience, location, and employer.

What does an AI manager do in a remote role?

An AI Manager working remotely oversees the development, deployment, and optimization of artificial intelligence projects within an organization. Their responsibilities include managing data science and engineering teams, setting project goals, ensuring effective collaboration, and aligning AI initiatives with business objectives. Remote AI Managers utilize virtual tools to communicate, track progress, and solve challenges related to machine learning, data analytics, and automation. They also stay updated with the latest AI technologies and ensure that ethical standards and best practices are followed throughout the project lifecycle.

What are the key skills and qualifications needed to thrive as an AI manager remote?

To thrive as an AI Manager (Remote), you need expertise in artificial intelligence, project management, and a relevant degree such as computer science or data science. Familiarity with AI development tools (like TensorFlow or PyTorch), cloud platforms, and certifications in AI or machine learning are commonly required. Excellent leadership, communication, and problem-solving skills are crucial for aligning remote teams and stakeholders. These abilities ensure successful project delivery, innovation, and effective collaboration across distributed environments.

How does an AI manager working remotely typically collaborate with cross-functional teams?

As a remote AI Manager, collaboration with cross-functional teams—such as data scientists, software engineers, and product managers—is often facilitated through digital communication platforms like Slack, Zoom, and project management tools. Regular virtual meetings and clear documentation become crucial for aligning on project goals, timelines, and deliverables. AI Managers are expected to foster a culture of open communication, coordinate tasks across time zones, and ensure that everyone stays informed and engaged. Successful remote AI Managers proactively address potential miscommunications and leverage collaborative tools to keep projects on track.

What is the difference between Ai Manager Remote vs Data Scientist Remote?

AspectAi Manager RemoteData Scientist Remote
Required CredentialsTypically requires a master's or PhD in AI, computer science, or related fields; leadership experienceUsually requires a master's or PhD in data science, statistics, or related fields; strong programming skills
Work EnvironmentLeads AI projects, manages teams, collaborates with cross-functional departmentsAnalyzes data, builds models, interprets results, often independently or in small teams
Employer & Industry UsageUsed in tech companies, AI startups, and large enterprises focusing on AI solutionsCommon in tech, finance, healthcare, and research organizations

While both roles require advanced technical skills and often similar educational backgrounds, the Ai Manager Remote focuses on leading AI initiatives and managing teams, whereas the Data Scientist Remote concentrates on data analysis and model development. Their work environments and industry applications overlap but serve different strategic functions within organizations.

What are the most commonly searched types of Ai Remote jobs in Springfield, MO?

The most popular types of Ai Remote jobs in Springfield, MO are:

What are popular job titles related to Ai Manager Remote jobs in Springfield, MO?

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

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

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

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

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

Investment Management Counsel - Remote

Springfield, MO • Remote

micro1 AI
Software Development • 11 - 50 employees

$90 - $150/hr

Part-time

Re-posted 14 days ago


Job description

Role Title: Funds Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the funds department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including LPA’s, subscription agreements, and side letters.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.