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$104.6K

$118K

How much do ai manager remote jobs pay per year?

As of Jun 16, 2026, the average yearly pay for ai manager remote in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 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 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.

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 are the key skills and qualifications needed to thrive as an AI Manager (Remote), and why are they important?

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.
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Ai Manager Remote jobs near you
Corporate Development Operations Manager - Remote

Corporate Development Operations Manager - Remote

micro1 AI

San Antonio, TX • Remote

$50 - $58/hr

Part-time

Posted 11 days ago

Job description

Job Title: Corporate Finance Expert

Job Type: Contract

Location: Remote


Job Summary: 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.


Key Responsibilities:

  1. Design technically demanding finance prompts and tasks that mirror investment banking, private equity, and corporate finance complexity
  2. Develop gold-standard solutions in Excel and PowerPoint to set objective benchmarks for AI model evaluation
  3. Create and refine clear grading rubrics for assessing AI outputs on transaction and modeling exercises
  4. Construct, modify, and review advanced financial models (3-statement, valuation, LBO, M&A, sensitivity analyses)
  5. Produce transaction analyses and investment materials with a client-ready, production-grade level of detail
  6. Develop and adapt professional templates, decks, and supporting materials commonly used across IB, PE, and Corp Dev
  7. Ensure all deliverables are precise, unambiguous, and uphold industry standards


Required Skills and Qualifications:

  1. Hands-on experience in financial modeling, valuation, and transaction analysis
  2. Advanced Excel proficiency, including scenario analysis and model integrity checks
  3. Expertise in building polished, professional PowerPoint presentations and investment decks
  4. Strong familiarity with standard IB/PE/Corp Dev templates and processes
  5. Proven track record working on live deals, investments, or transaction execution
  6. Exceptional written and verbal communication skills, with a keen eye for detail and clarity
  7. Ability to independently produce client-grade financial materials under tight timelines


Preferred Qualifications:

  1. Experience evaluating or testing AI models, or developing technical prompts and assessments
  2. Exposure to multiple finance domains (e.g., IB to PE, consulting to Corp Dev)
  3. Prior work creating training data or technical assessments for advanced technology initiatives

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