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Medical Annotation Jobs in Baltimore, MD (NOW HIRING)

... annotation, model training/validation, and knowledge extraction from unstructured data ... We offer competitive compensation and benefits to include: - Medical/Dental/Vision - 20 Days of ...

... annotation, verifying document numbers (transactions), and submitting documents to auditors for ... Our package also includes: · Medical, Dental & Vision Insurance · Flexible Spending Accounts · ...

Logistics Specialist IV

Aberdeen, MD · On-site

$125K - $142K/yr

... annotation, verifying document numbers (transactions), and submitting documents to auditors for ... Our package also includes: • Medical, Dental & Vision Insurance • Flexible Spending Accounts ...

Supply Chain Specialist

Aberdeen, MD · On-site

$65K - $80K/yr

... annotation, verifying document numbers (transactions) and submitting documents to auditors for ... Our package also includes: • Medical, Dental & Vision Insurance • Flexible Spending Accounts ...

Medical Annotation information

See Baltimore, MD salary details

$47.2K

$76.9K

$103.8K

How much do medical annotation jobs pay per year?

As of Jul 27, 2026, the average yearly pay for medical annotation in Baltimore, MD is $76,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $89,400.00 per year, depending on experience, location, and employer.

What does a medical annotator do?

A medical annotator reviews and labels medical data such as images, clinical notes, and reports to help train machine learning models for healthcare applications. They ensure data accuracy and consistency, often using specialized tools and following strict guidelines. Attention to detail and knowledge of medical terminology are essential for this role.

What is a Medical Annotation job?

A Medical Annotation job involves labeling and categorizing medical data, such as patient records, images, or clinical notes, to train AI models in healthcare applications. Annotators ensure that data is accurately tagged for use in machine learning, often working with radiology scans, electronic health records, or biomedical texts. This role requires attention to detail and may involve domain knowledge in medicine or life sciences to ensure high-quality annotations.

How much do annotators get paid?

Medical annotators typically earn between $12 and $25 per hour, depending on experience, complexity of tasks, and the employer. Some positions offer fixed project-based rates or part-time schedules, and familiarity with annotation tools and medical terminology can influence pay rates.

What are the key skills and qualifications needed to thrive in the Medical Annotation position, and why are they important?

To thrive in Medical Annotation, you need a strong background in life sciences or health care, familiarity with medical terminology, and acute attention to detail. Experience with annotation platforms, electronic health records (EHRs), and possibly certifications in medical coding or data annotation are often expected. Excellent communication, analytical thinking, and the ability to follow structured guidelines are standout soft skills. These competencies are essential to ensure the accuracy, consistency, and reliability of annotated medical data used in research, AI training, or clinical analysis.

What are the typical daily responsibilities of someone working in Medical Annotation?

In Medical Annotation, your day-to-day work often involves reviewing and labeling various types of medical data, such as clinical notes, radiology images, or laboratory reports, according to strict guidelines. You may collaborate with data scientists, healthcare professionals, or other annotators to ensure accuracy and resolve ambiguities. Attention to detail is crucial, as your annotations directly support the training of AI systems or research projects. Regular feedback sessions and audits are common to maintain high-quality standards. This role offers a mix of independent work and teamwork, fostering both focus and professional growth.

Can you actually make money with data annotation?

Medical annotation jobs are paid positions where individuals label medical data for AI training, and earnings depend on factors like experience, workload, and platform. While some annotators earn a steady income, pay rates vary widely, and it is generally considered a part-time or freelance opportunity rather than a full-time career. Developing skills in relevant tools and maintaining accuracy can improve earning potential.

What qualifications do I need for data annotation?

For medical annotation roles, candidates typically need a background in healthcare, life sciences, or related fields, along with strong attention to detail and familiarity with medical terminology. Basic computer skills and experience with annotation tools or software are also important. Some positions may require certification or training in medical coding or data management.
What are popular job titles related to Medical Annotation jobs in Baltimore, MD? For Medical Annotation jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Medical Annotation jobs in Baltimore, MD look for? The top searched job categories for Medical Annotation jobs in Baltimore, MD are:
Infographic showing various Medical Annotation job openings in Baltimore, MD as of July 2026, with employment types broken down into 23% Locum Tenens, 24% Full Time, 13% Part Time, 1% Contract, 38% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $76,916 per year, or $37 per hour.
ME00579-Data Scientist 3

ME00579-Data Scientist 3

Momentum Engineering, Inc.

Fort George G Meade, MD • On-site

$135K - $180K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 27 days ago


Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary
  • Seeking a Data Scientist to support a Natural Language Processing (NLP) project focused on developing automated solutions to process, analyze, and annotate language data derived from both spoken and written sources
  • This role involves building and improving models that tokenize language data, assign linguistic features such as parts of speech, and evaluate model performance against human-generated annotations to ensure accuracy and reliability

Primary Responsibilities
  • Develop and implement NLP models and algorithms to tokenize and process spoken and written language data
  • Design and build automated annotation solutions for labeling language data, including parts-of-speech tagging and related linguistic features
  • Evaluate and improve model performance by comparing outputs against human-generated annotations and refining algorithms accordingly
  • Analyze large volumes of structured and unstructured language data to identify patterns and improve model accuracy
  • Support development of training datasets and annotation frameworks to enhance model performance
  • Collaborate with cross-functional teams to align NLP solutions with mission and data requirements
  • Perform data preprocessing, cleansing, and transformation to prepare datasets for modeling
  • Document methodologies, model performance metrics, and findings to support repeatability and continuous improvement
  • Stay current with advancements in NLP, machine learning, and language modeling techniques

Required Qualifications
  • Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
  • Master's Degree with 6 years of relevant experience, Bachelor's Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing (NLP) techniques and tools
  • Proficiency in Python and common NLP/data science libraries (e.g., NLTK, spaCy, scikit-learn)
  • Experience with text and speech data processing, including tokenization and annotation
  • Ability to evaluate model performance using quantitative metrics and comparison methods
  • Strong analytical and problem-solving skills

Desired Qualifications
  • Experience working with annotated language datasets and linguistic frameworks
  • Familiarity with machine learning or deep learning models for NLP
  • Experience with speech processing or audio data analysis
  • Knowledge of model evaluation techniques and performance benchmarking
  • Experience working in mission-driven or government environments

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
135,000 - 180,000 USD per year (Ft. Meade MD)