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Data Annotation Manager Jobs in New York (NOW HIRING)

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

Data Flywheel & Model Tooling * Automate and improve our instance-segmentation and vision-language model annotation tooling, creating smooth, efficient workflows for our annotators and model managers

... the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product ... We are hiring Product Managers across multiple teams within our GenAI organization. These roles ...

Dataset Management: Construct and maintain datasets to support our AI team, with a focus on computer vision for both images and videos. * Data Handling: Execute data generation, cleaning, annotation ...

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Manager, Product - Code

New York, NY · On-site +1

$206K/yr

Partner with leaders across engineering, design, data, and research to make technical product ... Deep experience shipping developer tools and AI products - has run evals, owned annotation ...

We're a leading AI data company, building the layer between human expertise and frontier models ... annotation products, and emerging multimodal capabilities. You'll lead a team of engineers, partner ...

Showing results 41-60

Data Annotation Manager information

See New York salary details

$33.9K

$106.3K

$188.2K

How much do data annotation manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data annotation manager in New York is $106,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $137,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

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

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in New York? The most popular types of Data Annotation jobs in New York are:
What are popular job titles related to Data Annotation Manager jobs in New York? For Data Annotation Manager jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Data Annotation Manager jobs? Cities in New York with the most Data Annotation Manager job openings:
Infographic showing various Data Annotation Manager job openings in New York as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $106,280 per year, or $51.1 per hour.

Remote | Registered Nurse - $70-$105/hour

24-Mag Llc

Manhattan, NY • On-site

$70 - $105/hr

Other

Posted yesterday

New


Job description

About the job Remote | Registered Nurse - $70-$105/hour
We are sharing a specialised part-time consulting opportunity for experienced registered nurses with regular professional use of UpToDate Lexidrug or Lexicomp and strong expertise in medication administration, reconciliation, interaction review, escalation, and clinical documentation.
This role supports an advanced AI initiative focused on evaluating realistic nursing and medication-safety workflows. Selected professionals will review AI-generated clinical scenarios, assess whether medication-related decisions reflect the patient's complete medication history and administration timeline, and determine whether appropriate nursing actions, escalation, and documentation have been completed.
Key Responsibilities
Medication Safety Review

  • Review a patient's full active medication list before evaluating administration decisions
  • Assess potential drug interactions and medication-safety concerns using Lexidrug or Lexicomp
  • Determine when findings require a medication hold and escalation to pharmacy or the prescribing clinician
  • Identify situations where administration may proceed safely based on the available clinical information
  • Evaluate decisions in the context of the complete medication and treatment history
Medication Reconciliation & Administration
  • Review medication reconciliation across admission, transfer, and discharge workflows
  • Identify discrepancies between home medications, brought-from-home medications, and active orders
  • Evaluate administration timing, sequencing, and medication history
  • Identify missed interactions, reconciliation gaps, or inappropriate administration decisions
  • Assess whether relevant clinical information has been incorporated into the medication review
Adverse Reactions & Clinical Escalation
  • Identify adverse-reaction patterns in relation to actual medication administration timelines
  • Assess whether symptoms may require medication-related escalation
  • Distinguish issues that can be addressed within nursing scope from those requiring pharmacy or prescriber involvement
  • Evaluate whether appropriate doses were held when necessary
  • Confirm that relevant clinicians were notified and escalation was documented appropriately
Clinical Workflow Evaluation
  • Review AI-generated attempts at realistic nursing and medication-safety tasks
  • Determine whether nursing actions are accurate, complete, and supported by the clinical record
  • Verify that identified issues were carried through into appropriate action and documentation
  • Identify incomplete workflows where concerns were recognised without appropriate follow-through
  • Provide clear written assessments explaining errors, omissions, and appropriate next steps
Ideal Profile
Strong candidates may have:
  • At least 2 years of professional nursing experience
  • Current or recent hands-on use of Lexidrug or Lexicomp, typically weekly or more
  • An RN licence in good standing
  • Strong experience with medication administration and medication-safety workflows
  • Knowledge of drug interactions, medication reconciliation, and adverse-reaction monitoring
  • Experience determining when medication-related concerns require escalation
  • Ability to review complete clinical records and medication histories
  • Strong professional judgment, attention to detail, and written communication skills
Educational Background
  • RN licensure in good standing is required
  • A BSN or higher nursing qualification is preferred
  • Inpatient or acute-care nursing experience is strongly preferred
  • Equivalent clinical experience involving medication administration, reconciliation, and patient-safety review may also be highly relevant
Nice to Have
  • Experience using Trissel's IV Compatibility
  • Knowledge of Y-site and syringe compatibility and multi-infusion line management
  • Experience administering high-alert medications such as insulin, anticoagulants, opioids, chemotherapy, or sedation medications
  • Familiarity with paediatric or weight-based medication administration
  • Experience with geriatric medication precautions and Beers Criteria-relevant medications
  • Background in ICU, oncology, paediatrics, geriatrics, or another speciality setting
  • Experience providing medication-related discharge education to patients or caregivers
  • Familiarity with Drug I.D. during medication reconciliation
  • Prior data annotation, structured review, or AI evaluation experience
Why This Opportunity
  • Apply professional nursing expertise to advanced medication-safety evaluation work
  • Work with realistic clinical scenarios involving administration, reconciliation, interactions, and escalation
  • Use Lexidrug or Lexicomp knowledge in structured clinical review workflows
  • Help improve the accuracy and completeness of AI systems operating in nursing contexts
  • Participate in flexible remote consulting work with competitive hourly compensation
Contract Details
  • Independent contractor role
  • Fully remote with flexible scheduling
  • Competitive rates between $70-$105 per hour depending on expertise and project scope
  • Work may include medication-safety review, reconciliation assessment, administration evaluation, escalation review, and structured clinical feedback
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.