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Remote Director Machine Learning Jobs in Iowa (NOW HIRING)

Revit Technical Instructor

Sioux Center, IA · On-site +1

$70K - $87K/yr

Plan, direct, and facilitate training through classroom, hands-on, virtual, e-learning, workshop ... Flexibility in work arrangements may allow occasional remote work, depending on the assignment and ...

Products are sold both direct and through a growing network of elite dealers across the USA and ... Remote within the assigned territory (e.g., Southeast, Midwest, Great Plains, or other key ag ...

Products are sold both direct and through a growing network of elite dealers across the USA and ... Remote within the assigned territory (e.g., Southeast, Midwest, Great Plains, or other key ag ...

Colorado Director of Sales Why Join Glenwood Insurance? At Glenwood Insurance, we believe great ... Continuous learning mindset Minimum Qualifications * Active Life & Health License (or ability to ...

Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies ... Exceptionally self-motivated and directed WANT AN EMPLOYER THAT VALUES YOUR CONTRIBUTION? At MCI ...

Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies ... Exceptionally self-motivated and directed COMPENSATION DETAILS WANT AN EMPLOYER THAT VALUES YOUR ...

Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies ... Exceptionally self-motivated and directed WANT AN EMPLOYER THAT VALUES YOUR CONTRIBUTION? At MCI ...

Showing results 41-60

Remote Director Machine Learning information

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What are popular job titles related to Remote Director Machine Learning jobs in Iowa?

For Remote Director Machine Learning jobs in Iowa, the most frequently searched job titles are:

What cities in Iowa are hiring for Remote Director Machine Learning jobs?

Cities in Iowa with the most Remote Director Machine Learning job openings:

Infographic showing various Remote Director Machine Learning job openings in Iowa as of June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Claims Supervisor- Remote

American Enterprise Group, Inc.

Des Moines, IA • On-site, Remote

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Wellabe is looking for a Claims Supervisor to join our team. This person responsible for coordinating the day-to-day activities of a team of claims employees. Monitors team member's workload, provides training, and monitors individual claim activities. Provides technical guidance to team on claims adjudication. Ensures team members have the needed training and are in compliance with regulatory and company standards.
Core Responsibilities
  • Responsible for the direction of the claims team to ensure consistent delivery of services that meet or exceed customer expectations and complies with regulatory and company standards.
  • Provides technical guidance to team members.
  • Resolves complaints, problems, and coverage questions.
  • Participates in management related duties including performance management, recruitment and selection of new hires.
  • Provides ongoing training and coaching to team members. Ensures all receive communication of corporate/department policies and procedures.
  • Complies, reviews and analyzes management reports and takes appropriate action.
  • Performs quality review on claims in compliance with audit requirements, service contract requirements, and quality standards.
  • Ensures claim files are coded correctly and adequate documentation is made.
  • Manage direct reports including overseeing workflow, providing feedback, fostering a positive work environment, training, hiring, and performance management.
Qualifications
  • Knowledge of claims administration processes, insurance regulations, and quality standards.
  • Strong interpersonal, verbal, and written communication skills, including the ability to explain complex information to others.
  • Ability to coach, develop, and support team performance while managing workloads and priorities.
  • Strong analytical, problem-solving, and decision-making skills.
  • Ability to make sound, timely decisions by evaluating available information, balancing risks, and applying policies and procedures consistently.
  • Customer service and conflict resolution skills for handling escalated situations.
  • Strong attention to detail, organization, and proficiency with business technology and Microsoft Office applications.
Education
  • Bachelor's degree in related discipline. Combination of education and experience may be accepted in lieu of a degree.
  • Professional certifications as applicable.
Benefits
  • Hybrid availability
  • 401(k) with company match
  • Health insurance
  • Paid time off, holidays
  • Volunteer time off
  • Lifestyle Spending Account (LSA)
  • Paternity leave
Growth opportunities
We believe each of us has potential to grow and adapt with our business. We take your career as seriously as you do. Helping you develop your skills and talents leads to opportunities - not only for you, but also for our company. That's why we provide:
  • LinkedIn Learning Premium access
  • CliftonStrengths® assessment and coaching
  • On-site and virtual workshops and cohorts featuring world-class content from FranklinCovey, Crucial Learning, Gallup, and more
  • Free world-class insurance acumen courses through AHIP and LOMA
  • Reimbursement and bonus opportunities for professional designations and certifications, including a tuition reimbursement program
  • Opportunities to take part in Wellabe's mentorship programs
About Wellabe
Since 1929, Wellabe has been finding solutions to help our customers protect their health and financial well-being. And we're committed to fostering an internal culture of inclusivity, well-being, and development so each of our team members can succeed. Learn more about Wellabe's culture of betterment by visiting wellabe.com/culture.
Wellabe is full of smart, caring, hard-working people with a broad range of talents who understand collaboration is key. We bring our best selves every day, to connect with others to solve problems, spark innovation, and bring ideas to life. Meet the team and learn what makes Wellabe a great place to work by visiting wellabe.com/news/employee-spotlights.
Our core values:
  • Be dedicated: Show unwavering commitment by proactively taking initiative, setting clear goals, and managing time effectively.
  • Be trustworthy: Take accountability for actions, navigate difficult conversations with integrity, and build strong relationships through consistent, honest behavior.
  • Be determined: Demonstrate enthusiasm and a relentless drive to overcome obstacles and achieve goals.
  • Be collaborative: Foster teamwork by being self-aware, actively listening, and effectively communicating across all levels.
  • Be open: Embrace diversity and new ideas to create an inclusive environment.
  • Be generous: Embody generosity and compassion by serving a greater purpose and helping others.
  • Be better: Commit to continuous improvement and adapt effectively to change.
  • Be well: Prioritize physical and mental health, manage stress, and demonstrate emotional intelligence.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.