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Temporary Medical Data Annotation Jobs in New York

Aquent

Senior AI Data Operations Analyst

Manhattan, NY · On-site +1

$47 - $51/hr

  • Medical

  • Retirement

Temporary Salary: $47-51 Hourly W2, Benefits and 401k matching Start Date: Aug 10, 2026 Our media ... Data Quality / Annotation Background: Proven experience in data annotation, data quality, or ...

Welo Data

Data Labeling Associate

New York, NY

$34/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... Medical, Dental, and Vision Insurance * Free Breakfast, Lunch, and Dinner (where applicable)

Mercor

Nursing Expert - Lexidrug Specialist

New York, NY · On-site

$75 - $110/hr

Confirm a medication is safe to administer against the patient's full active med list and ... Prior data annotation, labeling, or AI evaluation experience is a plus Application Process (Takes ...

New

Sun River Health

Medical Assistant

Amityville, NY · On-site

$20.50 - $23.56/hr

Sun River Health is currently seeking a temporary Medical Assistant at to support our Amityville ... record patient data in eCW, (laboratory results, pain level, PEAS, PhQ, Smoke status, etc ...

Sun River Health

Medical Assistant

Amityville, NY · On-site

$20.50 - $23.56/hr

Sun River Health is currently seeking a temporary Medical Assistant at to support our Amityville ... record patient data in eCW, (laboratory results, pain level, PEAS, PhQ, Smoke status, etc ...

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All JobsMedical Data Annotation JobsTemporary Medical Data Annotation JobsTemporary Medical Data Annotation Jobs in New York

Temporary Medical Data Annotation information

What is the difference between Temporary Medical Data Annotation vs Medical Data Labeler?

AspectTemporary Medical Data AnnotationMedical Data Labeler
CredentialsBasic understanding of medical terminology, training in annotation toolsSimilar, often requires familiarity with medical terminology
Work EnvironmentRemote or on-site, healthcare or tech companiesRemote or on-site, healthcare or AI companies
Industry UsageUsed in AI training for medical imaging, EHR dataUsed in AI model development, data preparation
Search/Comparison IntentUnderstanding role differences, job requirementsClarifying job scope, responsibilities

Temporary Medical Data Annotation involves annotating medical data for AI training, often requiring specific medical terminology knowledge. Medical Data Labeler performs similar tasks, focusing on labeling data for machine learning. Both roles are essential in healthcare AI development, with overlapping skills and environments. The main difference lies in job titles used by employers and specific project scopes.

What is a temporary medical data annotation?

A temporary medical data annotation job involves labeling or tagging medical data, such as images, texts, or recordings, to help train machine learning models. These roles often require attention to detail, knowledge of medical terminology, and familiarity with annotation tools, and they are typically short-term or project-based positions.
What are the most commonly searched types of Medical Data Annotation jobs in New York? The most popular types of Medical Data Annotation jobs in New York are:
What are popular job titles related to Temporary Medical Data Annotation jobs in New York? For Temporary Medical Data Annotation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Temporary Medical Data Annotation jobs in New York look for? The top searched job categories for Temporary Medical Data Annotation jobs in New York are:
What cities in New York are hiring for Temporary Medical Data Annotation jobs? Cities in New York with the most Temporary Medical Data Annotation job openings:
Temporary Medical Data Annotation jobs near you
Infographic showing various Temporary Medical Data Annotation job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior AI Data Operations Analyst

Aquent

Manhattan, NY • On-site, Remote

$47 - $51/hr

Temporary

Medical, Retirement

Posted 17 days ago

Job description

Placement Type:
Temporary
Salary:
$47-51 Hourly
W2, Benefits and 401k matching
Start Date:
Aug 10, 2026
Our media client, partnered with Aquent, is a global leader in the entertainment industry, dedicated to connecting millions of users with engaging audio experiences. They are at the forefront of innovation, continuously evolving how listeners discover and interact with audio content. This is an incredible opportunity to join a team that shapes the daily experience of a vast global audience, directly influencing how users discover and engage with content through cutting-edge AI and machine learning.
Senior AI Data Operations Analyst
Are you passionate about the intersection of AI, data quality, and user experience? We are seeking a talented individual to play a pivotal role in ensuring the highest quality and relevance of recommendation engines and AI/LLM-powered features. In this hands-on, highly collaborative position, you will be a key driver of data quality and annotation strategy, bridging critical gaps between product managers, data scientists, and engineers. Your work will directly contribute to building the essential datasets needed to train and evaluate next-generation features, making a tangible impact on the core user experience and the future of content discovery.
What You'll Do
  • Perform hands-on data annotations and lead larger, cross-functional annotation sessions to generate high-quality training datasets for advanced recommendation models.
  • Establish clear criteria, metrics, and qualitative success measures for core user experience features and the LLM judges evaluating them.
  • Design and execute structured qualitative testing using internal tools, ensuring human judgment remains central while leveraging AI/LLM tools to scale evaluation efforts efficiently.
  • Partner on major, publicly announced initiatives, driving the evolution of personalized and agentic user experiences.
  • Improve and maintain robust evaluation processes, guidelines, and documentation that are adopted across various product groups.
  • Present qualitative findings, data trends, and quality risks clearly and concisely to product, design, research, and engineering leads, influencing strategic decisions.

What You'll Bring
  • Data Quality / Annotation Background: Proven experience in data annotation, data quality, or product/content quality analysis with direct ownership over evaluation workflows.
  • Strong Qualitative & Analytical Skills: Highly comfortable running structured qualitative evaluations, handling large data sets, and transforming subjective feedback into clear, actionable quality metrics.
  • AI/ML Familiarity: Strong functional understanding of machine learning product development and how ML/LLM/agentic features are evaluated and trained. You understand how data quality directly impacts AI outputs.
  • Process & Framework Builder: Demonstrated ability to create or refine robust evaluation frameworks and guidelines that empower team members to consistently maintain high quality standards.
  • Strong Communicator: Excellent written and verbal communication skills, with the ability to confidently present findings and guide cross-functional teams through complex evaluation initiatives.
  • Tool Proficiency: Comfortable working with standard data tools (e.g., Excel, Google Sheets) and adept at quickly learning internal proprietary annotation and evaluation platform tools.

Bonus Points
  • Experience in digital media or streaming entertainment platforms (though data annotation experience in other tech industries is fully welcome).

The target hiring compensation range for this role is $47.00/hr to $51.00. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.
About Skill:
Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts.
Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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