1

Manager Annotation Jobs in Kentucky (NOW HIRING)

$76 - $103/hr

About the role We're looking for US-credentialed clinical professionals to support a specialized clinical data annotation and normalization project focused on Sepsis, using the MIMIC IV de-identified ...

$180 - $240/hr

You will manage the full model lifecycle -- from assessing and curating training data through annotation, training, evaluation, and deployment to edge platforms. The day-to-day * Training and fine ...

$275 - $320/hr

... purely as a people-manager - while driving expansion across a fast-moving, technically ... Own and grow a $10M+ book of business within Meta, spanning AI/ML training data, annotation, and ...

$145 - $264/hr

Experience managing large-scale data generation, annotation, and evaluation workflows specifically for non-English locales and diverse cultural contexts. * i18n Engineering Standards: Technical ...

$152 - $288/hr

You'll work closely with our product management, engineering, and business teams to drive the ... Support development of Physical AI data factories for data ingestion, preprocessing, annotation ...

$213 - $255/hr

You will build and manage a team of engineers focused on solving this problem. The solutions will ... Build and maintain annotation tooling, implement active learning loops, and engineer synthetic data ...

New

$90 - $120/hr

... global annotation teams * Identify opportunities for better tooling, automation, and workflow ... Manage and mentor data vendors, freelancers, and potentially internal ICs as the team grows * Track ...

$184 - $357/hr

## Senior Developer Relations Manager - World Models RoboticsApplylocations: US, CA, Santa Claratime ... Working knowledge of Physical AI data workflows: large-scale video curation, captioning/annotation ...

... and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and other, ancillary image management systems as needed. Maintains equipment in efficient operating order.

... annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other, ancillary image management systems as needed * assists in coordination of daily workflow for the department ...

... annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other, ancillary image management systems as needed * assists in coordination of daily workflow for the department ...

next page

Showing results 1-20

Manager Annotation information

What is a manager annotation?

Manager Annotation jobs involve overseeing teams responsible for labeling and annotating data, which is critical for training machine learning models. These managers coordinate workflows, ensure quality control, and facilitate communication between annotators and data scientists. They are responsible for setting guidelines, managing deadlines, and addressing any issues that arise during the annotation process. Manager Annotation roles often require a combination of leadership skills and an understanding of data annotation tools and processes.

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

To thrive as a Manager Annotation, you need expertise in data annotation processes, team leadership, and quality assurance, often supported by a relevant degree and experience in data labeling or AI/ML projects. Familiarity with annotation tools (such as Labelbox, Supervisely, or AWS SageMaker Ground Truth), project management software, and sometimes certifications in project management or data science are valuable. Strong communication, problem-solving abilities, and attention to detail help ensure effective team coordination and high-quality data outputs. These skills are crucial for delivering accurate training data, meeting project deadlines, and supporting the success of machine learning initiatives.

What are some common challenges faced by a manager annotation and how can they be addressed?

A Manager Annotation often encounters challenges such as ensuring high-quality data labeling, managing tight project deadlines, and maintaining effective communication across diverse annotation teams. Balancing quality control with efficiency can be demanding, especially when working with large datasets or remote teams. To address these challenges, it is helpful to establish clear annotation guidelines, implement robust quality assurance processes, and foster open communication channels for feedback and support. Regular training and performance reviews also play a key role in maintaining team standards and project consistency.

What is the difference between Manager Annotation vs Data Annotator?

AspectManager AnnotationData Annotator
Required CredentialsHigh school diploma or equivalent; experience in data labeling; leadership skillsHigh school diploma or equivalent; attention to detail; basic computer skills
Work EnvironmentOffice or remote management setting overseeing annotation teamsRemote or on-site data labeling tasks
Employer & Industry UsageTech companies, AI firms, data service providersAI, machine learning, data processing companies

The main difference is that a Manager Annotation oversees annotation teams and manages projects, requiring leadership and management skills, while a Data Annotator performs the actual data labeling work, focusing on accuracy and attention to detail. Managers coordinate workflows, whereas Annotators execute labeling tasks.

What are popular job titles related to Manager Annotation jobs in Kentucky?

For Manager Annotation jobs in Kentucky, the most frequently searched job titles are:

Remote Clinical Review Nurse - Sepsis

CloudFactory Limited

On-site

$76 - $103/hr

Other

Posted 8 days ago


Job description

At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.

More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.

Our culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

  • Mission-driven: we focus on creating economic and social impact.
  • People-centric: we care deeply about our team's growth, well-being, and sense of belonging.
  • Innovative: we embrace change and find better ways to do things, together.
  • Globally connected: we foster collaboration between diverse cultures and perspectives.

If you're ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place.

About the role

We're looking for US-credentialed clinical professionals to support a specialized clinical data annotation and normalization project focused on Sepsis, using the MIMIC IV de-identified dataset. No prior sepsis specialization is required, we're looking for clinicians who can apply sound clinical judgment and structured annotation guidelines consistently.

In this role, you'll use your clinical expertise to review and interpret de-identified electronic health record (EHR) data, helping ensure that clinical information is accurately annotated, normalized, and structured for downstream use in healthcare technology and AI applications.

This is a hands-on opportunity to apply your clinical knowledge outside of traditional patient care and contribute to a project focused on improving how healthcare data can be understood and used.

We're particularly interested in clinicians with experience in critical care, intensive care, emergency medicine, or other acute-care environments, where familiarity with complex patient presentations and clinical documentation is valuable.

What you'll do
  • Review de-identified ICU clinical notes and EHR data related to patients with Sepsis.
  • Apply clinical knowledge to interpret and accurately annotate medical information.
  • Normalize clinical terminology, concepts, and information within patient records.
  • Identify and categorize relevant clinical information according to established annotation guidelines.
  • Maintain a high level of accuracy and consistency across annotations.
  • Participate in quality assurance and feedback processes to continuously improve annotation accuracy.
What We're Looking For
  • Current, active US-credentialed Registered Nurse (RN), Nurse Practitioner (NP), or Physician Assistant (PA)
  • Strong understanding of clinical terminology and medical documentation.
  • Ability to interpret complex clinical notes and EHR information accurately and consistently.
  • Strong attention to detail and ability to apply structured guidelines consistently.
  • Comfortable working independently in a remote environment.
  • Strong written communication skills.
  • Ability to commit to approximately 25-40 hours per week.
Preferred Experience
  • Experience working in critical care / ICU.
  • Experience with Sepsis patients or other acute-care conditions.
  • Experience reviewing or working with EHR/clinical documentation.
  • Previous experience in clinical research, medical data annotation, clinical informatics, healthcare AI, or similar projects.
Training & Certification

Before beginning project work, selected candidates will complete a required training program. The training is expected to take less than one day and will include certification through PhysioNet.

Engagement Details

Type: Independent Contractor

Time commitment: 25-40 hours per week

Project duration: approximately 3 months

Working arrangement: Remote, US based

Expected start date: September 15, 2026

#J-18808-Ljbffr