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Ai Annotation Specialist Jobs (NOW HIRING)

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating data on various tasks performed by robots, directly influencing the performance of robotic arms.

$80 - $100/hr

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and ...

Familiarity with AI and machine learning concepts. Additional language skills, which are beneficial for multilingual data annotation projects. Proven track record of handling confidential and ...

New

Familiarity with AI and machine learning concepts. Additional language skills, which are beneficial for multilingual data annotation projects. Proven track record of handling confidential and ...

$60 - $80/hr

Join us to shape the next frontier of AI-driven robotics! Dyna Robotics makes general-purpose ... As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system ...

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Ai Annotation Specialist information

What is an AI annotation specialist?

An AI Annotation Specialist is a professional responsible for labeling and categorizing data—such as images, audio, text, or video—to train and improve artificial intelligence and machine learning models. Their work involves identifying objects, transcribing speech, or tagging relevant features within datasets to ensure high-quality inputs for AI systems. These specialists must have strong attention to detail, follow specific guidelines, and often use specialized annotation tools. Their efforts are crucial in helping AI systems learn to recognize patterns and make accurate predictions.

What are the key skills and qualifications needed to thrive as an AI annotation specialist?

To thrive as an AI Annotation Specialist, you need strong attention to detail, data labeling experience, and familiarity with data management concepts, often supported by a background in computer science or related fields. Proficiency with annotation tools like Labelbox, CVAT, or Supervisely and an understanding of data formats such as JSON and XML are typically required. Excellent communication, time management, and the ability to work both independently and collaboratively help specialists deliver consistent, high-quality datasets. These skills are crucial for producing accurate training data that directly impacts the performance of machine learning models.

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

AI Annotation Specialists often encounter challenges such as maintaining high accuracy under tight deadlines, interpreting ambiguous data, and adapting to evolving annotation guidelines. To address these, clear communication with project managers, continual training, and utilizing annotation tools efficiently are key. Collaborating with team members can also help resolve uncertainties and improve the overall quality of the labeled data. Regular feedback sessions and quality checks further ensure consistency and help specialists grow in their roles.
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Infographic showing various Ai Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 5% Part Time, 5% Temporary, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

AI Annotation / Intent Verification Specialist (Entry-Level)

Somewhere

Remote

$17.50 - $21.50/hr

Other

Posted 3 days ago

New


Job description

AI Annotation / Intent Verification Specialist (Entry-Level)

Location: Remote, based in the Philippines Work Hours: U.S. PST business hours Employment Type: Full-time

Overview

We are looking for an AI Annotation Specialist to support the evaluation and improvement of a conversational AI system used to automate hotel front desk calls. This role focuses on listening to real guest calls, validating AI intent classification and responses, and helping establish high quality ground truth data that feeds model accuracy, product decisions, and future capability expansion.

You will work closely with a product and AI team to ensure annotations are consistent, reliable, and actionable.

Key Responsibilities
  • Listen to and annotate recorded hotel phone calls using internal annotation tools
  • Validate first level and second level intents predicted by the AI system
  • Verify the correctness and relevance of AI responses against hotel knowledge bases and documented policies
  • Flag incorrect answers, missing information, or failure patterns
  • Identify and propose new intents or sub-intents based on real guest conversations
  • Follow detailed annotation Standard Operating Procedures to ensure consistency
  • Log results and insights in shared spreadsheets or internal dashboards
  • Provide weekly summaries highlighting accuracy, volume, and recurring error patterns
Expected Volume
  • Approximately 500 calls per week
  • Average annotation time of around 10 minutes per call
Required Skills and Qualifications
  • Strong English listening comprehension and attention to detail
  • Prior experience in data labeling, annotation, quality assurance, or content review
  • Comfort working with transcripts, audio recordings, and structured guidelines
  • Proficiency with Google Sheets or similar spreadsheet tools
  • Ability to follow detailed processes and apply consistent judgment across large volumes of work
  • Reliable internet connection and ability to work full time hours
Nice to Have
  • Familiarity with hospitality, customer service, or call center environments
  • Experience annotating conversational AI, speech data, or customer support interactions
  • Basic understanding of AI or machine learning workflows
Tools and Collaboration
  • Internal call playback and transcript tools
  • Google Sheets and internal dashboards
  • Slack for day to day communication and weekly syncs
  • Secure access to systems handling sensitive call data
Why This Role Matters

Your work directly impacts how well the AI understands guests, answers questions, and improves over time. High quality annotation is foundational to making the system more accurate, reliable, and useful for hotels around the world.