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Medical Data Annotation Jobs in New Jersey (NOW HIRING)

Principal Medical Writer

Cranbury, NJ · On-site

$95K - $105K/yr

... data. * Adhere to appropriate reference and annotation standards and resolving fact-check queries ... Medical Event Attendance: * Attend live events such as consensus meetings and professional ...

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

Extensive experience with the full imaging data workflow: DICOM I/O, visualization, registration, harmonization, annotation, and segmentation of 3D medical images. * Strong peer-reviewed publication ...

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Showing results 1-20

Medical Data Annotation information

See New Jersey salary details

$9

$21

$50

How much do medical data annotation jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for medical data annotation in New Jersey is $21.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.56 and $22.31 per hour, depending on experience, location, and employer.

What is a medical data annotation?

A Medical Data Annotation job involves labeling and categorizing medical data, such as patient records, medical images, and clinical notes, to help train artificial intelligence (AI) models. Annotators ensure that AI systems can accurately interpret medical information by applying domain-specific knowledge and following strict guidelines. This role requires attention to detail, familiarity with medical terminology, and sometimes collaboration with healthcare professionals to ensure accuracy.

What are the key skills and qualifications needed to thrive in medical data annotation?

To thrive in Medical Data Annotation, you need a solid understanding of medical terminology, attention to detail, and familiarity with clinical or healthcare data formats, often backed by relevant coursework or experience in healthcare or life sciences. Proficiency with data annotation platforms, medical coding software, and sometimes certifications like HIPAA compliance are highly valued. Strong communication skills, a high level of accuracy, and the ability to work both independently and collaboratively set standout candidates apart. These skills help ensure data integrity and support the development of reliable AI-powered healthcare solutions.

What are the typical challenges faced in medical data annotation?

One of the main challenges in Medical Data Annotation is accurately interpreting complex medical information and ensuring consistency across large datasets. Annotators often work with sensitive patient data, so maintaining confidentiality and adhering to strict data security protocols is essential. The work can be repetitive and detail-oriented, but it is crucial for training reliable medical AI systems. Successful Medical Data Annotation professionals stay motivated by understanding the impact of their work on advancing medical research and patient care.

What are the most commonly searched types of Medical Data Annotation jobs in New Jersey?

The most popular types of Medical Data Annotation jobs in New Jersey are:

Infographic showing various Medical Data Annotation job openings in New Jersey as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $45,363 per year, or $21.8 per hour.

Senior Data Management Professional - Data Engineering (Data AI)

Bloomberg LP

Princeton, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 246 rated software companies


Job description

Senior Data Management Professional - Data Engineering (Data AI)
Location
Princeton
Business Area
Data
Ref #
10052626
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team:
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. We provide evaluation and annotation frameworks connecting natural language processing and human judgment in order to elevate the quality, intelligence, and usability of the data that drives our products.
By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. Our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. As a result our clients will continue to have high quality data and access to new types of datasets.
The Role:
As a Data Engineer within Data AI, you will build and evolve the infrastructure, data pipelines, and operational tooling that power scalable AI and data workflows. You will enable reliable data collection, annotation, training, and evaluation processes by developing systems that improve data quality, operational visibility, and workflow efficiency. Through automation, observability, and platform engineering, you will help create the foundations that allow teams to deliver data and AI products with confidence and at scale.
We'll trust you to:
  • Design, build, and maintain scalable data pipelines that support data collection, annotation, training, evaluation, analytics, and reporting workflows.
  • Develop and operate systems for dataset management, storage, versioning, and lifecycle governance to ensure reliable and reproducible AI workflows.
  • Implement monitoring, observability, and alerting capabilities that provide visibility into data quality, system health, and operational performance.
  • Build dashboards, tooling, and self-service capabilities that improve transparency, efficiency, and decision-making across data operations.
  • Partner with Product, Engineering, and Data teams to evolve the infrastructure and platforms supporting AI-enabled products and workflows.
  • Identify bottlenecks and opportunities for automation, delivering scalable solutions that improve reliability, consistency, and operational efficiency.

You'll need to have:
  • Bachelor's degree in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications
  • 3+ years in data engineering (Python, SQL)
  • Experience building ETL/data pipelines at scale and creating data collection frameworks for structured and unstructured data
  • Experience with data modeling and developing proactive data quality strategies that ensure data is fit for purpose
  • Experience working with ML/AI datasets or experimentation workflows.
  • Excellent problem-solving and analytical thinking skills with strong attention to detail.
  • Proven track record of stakeholder relationship management, communication, and cross-team collaboration.

We'd love to see:
  • Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI.
  • Experience in semantic structures or large scale data modeling
  • Experience using data visualization tools such as Tableau, QlikSense, or PowerBI
  • Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models.
  • Deep domain expertise in financial markets/news and understanding of our customers' needs.

If this sounds like you:
Apply! If you think we're a good match. We'll get in touch to let you know the next steps!
Salary Range = 110,000 - 190,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981