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Document Annotation Specialist Jobs (NOW HIRING)

SmarterDx

Clinical Coding Specialist

$75K - $105K/yr

Familiarity with evaluation frameworks, labeling, or annotation workflows * Certified Clinical Documentation Specialist (CCDS) or Clinical Documentation Improvement Practitioner (CDIP) credentials ...

Latent

Clinical Informatics Specialist

New York, NY · On-site

$75K - $100K/yr

The Clinical Specialist will play a critical role in data generation, annotation, and evaluation to ... Communicate complex clinical concepts clearly through written documentation and internal ...

Batchelor & Kimball

VDC (BIM) Specialist

Conyers, GA · Remote

... documents or 3D design models of Plumbing, Mechanical and HVAC systems into fabrication and ... Creation and annotation of shop drawings * Creation and annotation of hanger drawings * Creation ...

Batchelor & Kimball

VDC (BIM) Specialist

Conyers, GA · On-site

... documents or 3D design models of Plumbing, Mechanical and HVAC systems into fabrication and ... Creation and annotation of shop drawings * Creation and annotation of hanger drawings * Creation ...

Batchelor & Kimball

VDC (BIM) Specialist

Conyers, GA · On-site

... documents or 3D design models of Plumbing, Mechanical and HVAC systems into fabrication and ... Creation and annotation of shop drawings * Creation and annotation of hanger drawings * Creation ...

SmarterDx

Clinical Coding Specialist

$75K - $105K/yr

Familiarity with evaluation frameworks, labeling, or annotation workflows * Certified Clinical Documentation Specialist (CCDS) or Clinical Documentation Improvement Practitioner (CDIP) credentials ...

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How much do document annotation specialist jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for document annotation specialist in the United States is $27.84, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $31.97 per hour, depending on experience, location, and employer.

What is a document annotation specialist?

Document Annotation Specialists are professionals who label, categorize, and tag data within documents to make them understandable and usable for machine learning models and artificial intelligence systems. Their work involves adding notes, highlights, or metadata to documents such as text, images, or PDFs, which helps software learn to recognize patterns and interpret data correctly. These specialists play a crucial role in preparing high-quality datasets for AI training, ensuring accuracy and consistency in the annotation process.

What are the key skills and qualifications needed to thrive as a document annotation specialist?

To thrive as a Document Annotation Specialist, you need strong attention to detail, proficiency in data labeling best practices, and typically a background in linguistics, computer science, or a related field. Familiarity with annotation tools such as Labelbox, Prodigy, or AWS SageMaker Ground Truth, along with experience handling various data formats, is often required. Excellent organizational skills, time management, and clear communication help ensure accuracy and consistency when collaborating with teams or meeting project deadlines. These skills are crucial for producing high-quality, reliable labeled data sets that directly impact the success of machine learning and AI initiatives.

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

Document Annotation Specialists often encounter challenges such as maintaining consistency in labeling, handling ambiguous or unclear data, and meeting tight deadlines. To manage these challenges, it is essential to follow detailed guidelines, communicate frequently with team members or project leads, and utilize annotation tools efficiently. Regular quality checks and feedback sessions also help ensure high accuracy and continuous improvement. Being proactive in asking questions and seeking clarification can greatly enhance both individual performance and overall project outcomes.

What are popular job titles related to Document Annotation Specialist jobs?

For Document Annotation Specialist jobs, the most frequently searched job titles are:

Infographic showing various Document Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $57,910 per year, or $27.8 per hour.

Ophthalmologist (Medical Data Labeling Specialist)

Boston, MA • On-site

Saviance
IT Services • 201 - 500 employees
Learn more about Savianceexternal

Other

Re-posted 15 days ago

Job description

Ophthalmologist (Medical Data Labeling Specialist)
Location: India, Remote
Duration: Ongoing Part-Time
About BigRio
BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI/ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions.
About Job:
This role leverages the clinical expertise of an ophthalmologist to accurately annotate and label medical data, primarily images and structured clinical data related to eye health, for the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.
Responsibilities
Key responsibilities include:
  • Data Annotation: Reviewing and annotating various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
  • Adherence to Protocols: Applying standardized grading protocols consistently for accurate and consistent labeling.
  • Quality Control & Feedback: Participating in calibration sessions and reviews to maintain annotation consistency.
  • Collaboration: Working with AI engineers and data scientists to ensure the clinical validity of guidelines.
  • AI Model Validation: Validating AI model outputs for clinical accuracy and safety.
  • Patient Education Material Development (potential): Possibly creating or reviewing materials for AI/ML algorithms to provide accurate patient education.
  • Privacy and Security: Ensuring compliance with patient privacy and data security policies, like HIPAA.
Qualifications
Essential qualifications typically include:
  • Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
  • Extensive Clinical Knowledge: In-depth understanding of various eye conditions.
  • Experience in Clinical Data Review: Familiarity with medical record documentation.
  • Attention to Detail: Commitment to accurate annotation.
  • Communication Skills: Excellent communication skills, both written and verbal, in English.
  • Teamwork: Ability to collaborate effectively with a multidisciplinary team.
Required skills often include:
  • Medical Image Annotation: Proficiency in using annotation tools to delineate structures and pathologies
  • Data Interpretation and Assessment: Skill in interpreting data related to medical products and AI model performance.
  • Problem Solving: Ability to identify challenges and recommend solutions.
  • Adaptability: Ability to adapt to varying image resolutions and file formats.

This role offers a unique opportunity to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.
Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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