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Commission Medical Data Annotation Jobs in New York

Encord

Human Data Operations Strategist

New York, NY · On-site

... to data annotation platforms or quality management frameworks; experience coaching or managing operational teams Why Encord * Competitive salary, commission, and meaningful equity in a high-growth ...

Encord

Human Data Operations Strategist

New York, NY · On-site

... to data annotation platforms or quality management frameworks; experience coaching or managing operational teams Why Encord * Competitive salary, commission, and meaningful equity in a high-growth ...

Welo Data

Data Labeling Associate

New York, NY · On-site

$34/hr

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)

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

NBCUniversal

Senior Data Scientist

Manhattan, NY

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

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

Commission Medical Data Annotation information

What is a commission medical data annotation?

Commission medical data annotation jobs involve labeling and categorizing medical data—such as images, clinical notes, or audio recordings—for use in training machine learning models in healthcare. Workers are typically paid based on the amount of data they accurately annotate, rather than an hourly wage. Tasks may include identifying diseases in medical images, transcribing doctor notes, or classifying medical records. These jobs are critical for developing reliable artificial intelligence systems in medicine, supporting applications like diagnostics, treatment planning, and research. Attention to detail, understanding of medical terminology, and adherence to privacy standards are essential in these roles.

What are the key skills and qualifications needed to thrive as a commission medical data annotation specialist?

To thrive as a Commission Medical Data Annotation Specialist, you need a solid understanding of medical terminology, data annotation techniques, and attention to detail, often with a background in life sciences or healthcare. Familiarity with annotation platforms, data labeling tools, and compliance standards such as HIPAA is typically required. Strong analytical skills, meticulousness, and effective communication make someone stand out in this position. These skills are crucial for ensuring high-quality, accurate data that supports reliable AI and research outcomes in medical applications.

What are some common challenges faced in a commission medical data annotation role and how can they be addressed?

In a Commission Medical Data Annotation role, professionals often encounter challenges such as interpreting complex medical terminology, ensuring consistency in labeling, and maintaining high accuracy under tight deadlines. To address these, it is helpful to regularly reference standardized guidelines, participate in team reviews or audits, and seek clarification from medical experts when needed. Collaborating with peers and utilizing annotation tools efficiently can also help streamline the process and minimize errors, ensuring both quality and productivity.

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

AspectCommission Medical Data AnnotationMedical Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, tech-focusedRemote or office-based, tech-focused
Industry UsageUsed in AI training for healthcare applicationsUsed in AI training for healthcare applications
Search IntentComparison of roles in medical data annotationComparison of roles in medical data annotation

Both roles involve labeling medical data to train AI systems, often requiring similar skills and work environments. The main difference lies in the scope: Commission Medical Data Annotation may involve more specialized tasks or higher-level responsibilities, whereas Medical Data Labeler typically refers to the basic task of data labeling. Understanding these distinctions helps job seekers identify roles aligned with their skills and career goals.

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 Commission Medical Data Annotation jobs in New York?

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

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

The top searched job categories for Commission Medical Data Annotation jobs in New York are:

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

Cities in New York with the most Commission Medical Data Annotation job openings:

Commission Medical Data Annotation jobs near you

Human Data Operations Strategist

Encord

New York, NY • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 7 days ago

Job description

About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models.
What you'll do
  • Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams
  • Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and implementing feedback loops
  • Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process
  • Provide guidance and feedback to the annotation team, ensuring team members are equipped with the context and skills needed to perform high-quality work aligned with project requirements and best practices
  • Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies

Who we're looking for
  • A sharp, execution-oriented operator with a consulting or AI company pedigree - you bring structured thinking, strong project management instincts, and a bias for getting things done
  • Analytically rigorous and comfortable with ambiguity - you break down complex operational challenges from first principles and build clear, actionable plans to solve them
  • Technically fluent enough to get hands-on with data - whether that's querying a database, auditing annotation outputs, or automating a workflow in Python
  • Passionate about AI and machine learning, with genuine curiosity about how data quality and operations underpin model performance
  • A natural communicator who can translate fluidly between ML engineers and non-technical clients, keeping complex multi-stakeholder projects on track
  • Entrepreneurial and collaborative - you thrive in fast-paced environments and take ownership without waiting to be told what to do

Experience requirements
  • 3-7 years of professional experience, with a strong preference for backgrounds in top-tier strategy consulting and/or operations or data roles at leading AI or technology companies
  • Proven ability to own complex, multi-stakeholder workflows end-to-end - from scoping and planning through execution, quality assurance, and iteration
  • Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs; broader familiarity with relational databases or data annotation tooling equally valued
  • Experience designing or optimising data operations processes with a strong eye for quality, consistency, and scalability - ideally in a context involving human-in-the-loop workflows or structured labelling tasks
  • Demonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients, translating requirements clearly in both directions
  • Bonus: hands-on experience with computer vision, generative AI, or multimodal data workflows; prior exposure to data annotation platforms or quality management frameworks; experience coaching or managing operational teams

Why Encord
  • Competitive salary, commission, and meaningful equity in a high-growth start-up
  • Clear, accelerated growth opportunities as the company scales rapidly
  • Strong in-person culture: 4 days/week
  • Flexible PTO to fully recharge
  • Annual learning & development budget
  • Comprehensive health, dental, and vision coverage
  • Frequent travel opportunities across the U.S., London, and Europe
  • Bi-annual company offsites, twice-weekly team lunches, and monthly socials

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