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Remote Ai Labeling Jobs in Micronesia (NOW HIRING)

$93K - $124K/yr

  • Medical

  • Retirement

  • PTO

Cloud AI & OCR Platform Expertise: Hands-on experience configuring and deploying OCR and ... Experience designing, training, and validating end-to-end IDP workflows, including data labeling ...

$107K - $143K/yr

  • Medical

  • Retirement

  • PTO

Cloud AI & OCR Platform Expertise: Hands-on experience configuring and deploying OCR and ... Experience designing, training, and validating end-to-end IDP workflows, including data labeling ...

Remote Ai Labeling information

What is remote AI labeling?

Remote AI labeling is a job where individuals annotate or tag data—such as images, videos, text, or audio—from a remote location, typically their home. This labeled data is used to train artificial intelligence and machine learning models to recognize patterns or make decisions. Tasks may include drawing bounding boxes around objects in photos, transcribing audio, or categorizing content. Remote AI labeling jobs are popular for their flexibility and are essential in industries like autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, though attention to detail is important.

What are some common challenges faced by remote AI labeling specialists, and how can they be addressed?

Remote AI labeling specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and managing tight deadlines. To address these, it's helpful to establish a structured work routine, use productivity tools to minimize distractions, and regularly review the labeling guidelines to avoid errors. Additionally, many companies provide collaborative platforms and regular feedback sessions, which can help clarify expectations and improve overall performance.

What are the key skills and qualifications needed to thrive as a remote AI labeling specialist, and why are they important?

To thrive as a Remote AI Labeling Specialist, you need strong attention to detail, basic computer literacy, and familiarity with data annotation principles, often supported by a high school diploma or equivalent. Experience with labeling platforms, image or text annotation tools, and sometimes knowledge of data privacy standards are typically required. Being reliable, self-motivated, and able to communicate clearly helps you consistently deliver accurate work and meet deadlines. These skills ensure high-quality labeled data, which is crucial for training effective AI models.

What is the difference between Remote Ai Labeling vs Remote Data Annotation?

AspectRemote Ai LabelingRemote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI development, machine learningData processing, machine learning
Job FocusLabeling data specifically for AI modelsAnnotating various data types for machine learning

Remote Ai Labeling and Remote Data Annotation are closely related roles in the AI industry. Both involve working remotely with data, but Ai Labeling focuses specifically on labeling data to train AI models, while Data Annotation encompasses a broader range of data types and tasks. Understanding these differences helps job seekers find roles that match their skills and career goals.

Infographic showing various Remote Ai Labeling job openings in Micronesia as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

Client Principal - Professional Services

Iron Mountain

Remote

$93K - $124K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago


Job description

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That's why we need smart, committed people to join us. Whether you're looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.

We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.

Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.

Client Principal

Job Summary

Iron Mountain is seeking a skilled Client Principal to join our Professional Services team. In this role, you will be responsible for providing executive oversight and strategic engagement with client executive stakeholders up to the C-suite. You will help shape client thinking into concrete deliverables, guide them through the "art of the possible," and ensure high-quality delivery throughout the workshop, design, and implementation phases.

What You'll Do (Responsibilities)

In this role, you will:

  • Lead Executive Engagement: Organize and lead strategic design workshops during kickoff and design phases to translate client needs into executable Statements of Work and formal contracts.

  • Manage Project Governance: Create and oversee comprehensive project documentation, including budget/finance reports, risk registers, staff utilization logs, and project status reports.

  • Drive Delivery Excellence: Own the final sign-off for architecture artifacts, user stories, sprints, final scope, and acceptance criteria while ensuring solution engineers can seamlessly execute from design plans.

  • Support Business Growth: Function as a Professional Services SME to assist pre-sales activities, identify expansion opportunities for Iron Mountain solutions, and run project P&Ls to protect commercial margins.

  • Cloud AI & OCR Platform Expertise: Hands-on experience configuring and deploying OCR and Intelligent Document Processing (IDP) solutions using cloud AI services (AWS Textract, Google Document AI, Azure Form Recognizer, or equivalent).

  • LLM Integration & Prompt Engineering for Document Extraction: Experience integrating Large Language Models (e.g., OpenAI GPT, Anthropic Claude, or open-source equivalents) into document processing pipelines to enhance extraction accuracy, handle ambiguous layouts, and generate structured outputs (JSON/XML).

  • End-to-End IDP Pipeline Development & Training: Experience designing, training, and validating end-to-end IDP workflows, including data labeling, model training, confidence scoring, and human-in-the-loop review

What You'll Bring (Skills & Qualifications)

The ideal candidate will have:

  • Professional Services Leadership: At least 10 years of experience as a consultant or professional services lead with a proven track record of delivering successful digital projects.

  • Platform Implementation Expertise: A minimum of 5 years of direct implementation experience with Enterprise Content Management platforms, advanced workflows, and agile methodologies.

  • Commercial and Technical Acumen: Strong financial acumen to manage resource P&Ls, write business cases demonstrating ROI, and maintain a solid understanding of enterprise IT architectures and cloud technologies.

  • Communication & Collaboration: Exceptional negotiation, presentation, and client-facing documentation skills used to facilitate collaboration across complex internal and external stakeholders.

What We Offer (Benefits)

  • Compensation: Competitive compensation and benefits packages aligned with your experience level.

  • Work-Life Balance: Remote work flexibility (#Li-Remote) and alternative work arrangements to support personal well-being.

  • Time Off: Generous paid time off and holiday schedules.

  • Well-being: Comprehensive health, wellness, and retirement plans.

  • Growth: Opportunities for continuous learning, professional certifications, and career advancement within a global organization.

Li-Remote

Reasonably expected salary range: $93,400.00 - $124,500.00

Please note that an employee's starting salary may vary based on a variety of factors. WhereState, Municipal, Provincial, Territorial or other legal minimum wages exceed the federal minimum wage, employees are entitled to the higher rate.

Category: Sales