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Ai Manager Remote Jobs in Spring, TX (NOW HIRING)

Houston, TX or Remote (USA) Duration: 6-12 Months Position Overview We are seeking an experienced Project Manager to lead and coordinate AI-focused initiatives across multiple delivery teams. This ...

Key Responsibilities: • Manage and reconcile accounts payable and accounts receivable, ensuring ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

Key Responsibilities: • Manage and reconcile accounts payable and accounts receivable, ensuring ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

Key Responsibilities: • Manage and reconcile accounts payable and accounts receivable, ensuring ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

Driven to stay ahead of industry trends, including actively learning how AI and automation can ... Effectively manage approximately five mid-tier and enterprise accounts * Meet and exceed department ...

Project manage and organize your accounts * Build relationships with your point of contacts * Deep ... Driven to stay ahead of industry trends, including actively learning how AI and automation can ...

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Ai Manager Remote information

See Spring, TX salary details

$25.8K

$93.1K

$105K

How much do ai manager remote jobs pay per year?

As of Jun 26, 2026, the average yearly pay for ai manager remote in Spring, TX is $93,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $103,700.00 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.
What job categories do people searching Ai Manager Remote jobs in Spring, TX look for? The top searched job categories for Ai Manager Remote jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai Manager Remote jobs? Cities near Spring, TX with the most Ai Manager Remote job openings:

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Houston, TX • Remote

$20/hr

Contractor

Posted 18 days ago


Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology