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Data Annotation Engineer Jobs in New York (NOW HIRING)

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 ... You will partner closely with product managers, engineers, and data scientists to ensure Latent ...

YO AI Labs

AI Consulting Expert - Remote

New York, NY · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing * Business Communication * Content Review & Editing * Data Interpretation * Data Annotation * Fact Checking

Visia

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Build and maintain the pipelines that move data from deployed sensors → annotation → model ... Field Engineering Support * Contribute to custom Visia implementations for enterprise customers ...

Neon Mobile, Inc

Data Ops Lead

New York, NY · On-site +1

$150K - $190K/yr

Standing up human transcription, annotation and other operations, largely overseas, that make it ... engineering and research teams at frontier labs to translate their exact specifications into ...

Snorkel AI

Head of Forward Deployed Engineering

New York, NY · On-site +1

$268K - $403K/yr

We work with some of the world's largest organizations to empower scientists, engineers, financial ... Bonus: experience working with data annotation workflows or internal tooling for data delivery orgs ...

NBCUniversal

Staff MLOps Engineer

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data pipelines are automated, reproducible, and performant at scale. Key Responsibilities * Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out ...

NBCUniversal

Staff MLOps Engineer

Manhattan, NY

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data pipelines are automated, reproducible, and performant at scale. Key Responsibilities * Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out ...

NBCUniversal

Staff MLOps Engineer

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data pipelines are automated, reproducible, and performant at scale. Key Responsibilities * Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out ...

Stackruit Ltd.

Senior AI Dataset Engineer

Manhattan, NY · On-site

$120 - $150/hr

Execute data generation, cleaning, annotation, and new dataset construction. * Auto-Annotation ... Education: Bachelor's degree in STEM (science, technology, engineering, math) is preferred.

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Showing results 21-40

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in New York

Data Annotation Engineer information

See New York salary details

$56.3K

$161.3K

$215.5K

How much do data annotation engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data annotation engineer in New York is $161,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $214,400.00 per year, depending on experience, location, and employer.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive as a data annotation engineer?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in New York?

For Data Annotation Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in New York look for?

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What cities in New York are hiring for Data Annotation Engineer jobs?

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Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in New York as of August 2026, with employment types broken down into 52% Full Time, and 48% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $161,327 per year, or $77.6 per hour.

Clinical Informatics Specialist

Latent

New York, NY • On-site

$75K - $100K/yr

Full-time

Posted 29 days ago

Job description

About Latent
Latent is building the clinical intelligence layer for healthcare AI. Our platform enables AI systems to reason safely and accurately over medications, clinical knowledge, and patient-specific context. We work closely with healthcare organizations and AI builders to ensure models behave in ways that are clinically sound, regulatory-aware, and trustworthy.
About the Role
Latent is seeking a Clinical Informatics Specialist to join our Engineering, Product, and Data (EPD) organization. This role sits directly within Product and is deeply embedded in product development.
The Clinical Specialist will play a critical role in data generation, annotation, and evaluation to improve Latent's AI models, while also serving as a clinical subject matter expert (SME) to inform feature development, workflows, and internal tooling.
You will partner closely with product managers, engineers, and data scientists to ensure Latent's products reflect real-world clinical practice and meet the highest standards of safety and accuracy.
What You'll Do
AI Model Training & Evaluation
  • Analyze and review AI-generated content related to medications, prescriptions, drug interactions, contraindications, and patient education for clinical accuracy and clarity.
  • Generate, label, and curate high-quality training and evaluation datasets based on real-world pharmacy and medication-use scenarios.
  • Provide structured clinical feedback to improve model performance, reasoning quality, and edge-case handling.
  • Identify gaps in AI knowledge and propose targeted data or educational interventions to address them.

Product Development & Clinical SME Support
  • Serve as a clinical subject matter expert for product and engineering teams during feature design and iteration.
  • Collaborate with product managers to translate clinical workflows into scalable product features.
  • Actively test Latent's pharmacist and medication-focused tools, providing actionable feedback and proposing product enhancements.

Quality, Safety & Compliance
  • Ensure AI outputs align with current clinical guidelines, pharmaceutical standards, and best practices.
  • Help define and enforce internal quality standards for clinical content used in training and evaluation.
  • Ensure all data generation and AI outputs adhere to regulatory, ethical, and privacy requirements relevant to pharmacy practice.

Cross-Functional Collaboration
  • Partner with data scientists, ML engineers, and product managers to design clinically grounded training sets and evaluation frameworks.
  • Communicate complex clinical concepts clearly through written documentation and internal discussions.
  • Contribute to continuous improvement of Latent's clinical intelligence processes and tooling.

What We're Looking For
  • Background in pharmacy practice, including formal training or certification as a Pharmacist or Pharmacy Technician, Physicians Assistant, Nurse Practitioner, Nurse or equivalent hands-on clinical experience.
  • Demonstrated experience working with medications, prescriptions, drug interactions, and pharmacy workflows in real-world settings.
  • Strong clinical judgment and attention to detail, with the ability to evaluate medication-related content for accuracy, safety, and clarity.
  • Ability to translate real-world clinical scenarios into structured data, annotations, or written feedback.
  • Excellent written and verbal communication skills, especially when explaining complex clinical concepts to non-clinical teammates.
  • Comfort collaborating closely with product, engineering, and data science teams in a fast-paced environment.
  • Passionate about healthcare access.
Nice to Have
  • Familiarity with clinical guidelines, regulatory considerations, and patient safety frameworks.
  • Familiarity with prior authorizations, 340B, and medication assistance programs.
  • Prior experience with Epic and/or Cerner.
  • Prior experience with data annotation, model evaluation, or quality assurance for AI systems.

Apply