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Ai Manager Remote Jobs in Nevada (NOW HIRING)

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Pharmacovigilance Expert

Reno, NV · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote Insurance Agent

Reno, NV · Remote

$60K - $110K/yr

Manage client pipeline using our CRM system * Follow up to ensure satisfaction and policy retention ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Remote Insurance Agent

Las Vegas, NV · Remote

$60K - $110K/yr

Manage client pipeline using our CRM system * Follow up to ensure satisfaction and policy retention ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Showing results 21-40

Ai Manager Remote information

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 Nevada?

The most popular types of Ai Remote jobs in Nevada are:

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

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

What cities in Nevada are hiring for Ai Manager Remote jobs?

Cities in Nevada with the most Ai Manager Remote job openings:

Clinical Pharmacy Technicians

micro1 AI

North Las Vegas, NV • Remote

$70 - $80/hr

Part-time

Posted 14 days ago


Job description

Role Title: Pharmacovigilance Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety expertise on a key customer 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. This opportunity is ideal for professionals experienced in authoring and reviewing complex safety reports, passionate about data quality, and committed to clear written and verbal communication.


Scope of Work

  1. Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and case-level records.
  2. Apply expert judgment to assess the accuracy and adequacy of interval safety findings, signal evaluations, and benefit-risk conclusions in alignment with best practices.
  3. Assess template and structural conformity to ICH E2F and ICH E2C requirements, including proper section content, presentation of cumulative versus interval data, and completeness of appendices.
  4. Reconcile figures and case counts across report sections and data sources, identifying and documenting discrepancies significant for regulatory review.
  5. Evaluate safety conclusions in light of new data or events, and provide clear, structured written rationales supporting your determinations.
  6. Deliver structured feedback to inform the development of AI-driven tools for pharmacovigilance documentation and analysis.


Preferred Qualifications

  1. 5+ years of pharmacovigilance or drug safety experience at a sponsor, CRO, or as an independent consultant.
  2. Demonstrated proficiency in authoring or reviewing DSURs and/or PSURs/PBRERs from start to finish.
  3. Working fluency with ICH E2F, ICH E2C(R2), and GVP guidelines, including signal management and benefit-risk assessment methodology.
  4. Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness determination, and aggregate safety data analysis.
  5. Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level information.
  6. Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent).
  7. Experience in both development-stage and post-marketing safety reporting, QPPV or deputy QPPV roles, safety committee participation, or AI-assisted safety review tools is a plus.