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Data Annotation Manager Jobs in High Point, NC (NOW HIRING)

Data Annotation Manager information

See High Point, NC salary details

$28.4K

$89K

$157.6K

How much do data annotation manager jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data annotation manager in High Point, NC is $89,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

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.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

What are the key skills and qualifications needed to thrive as a Data Annotation Manager, and why are they important?

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.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

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 High Point, NC? The most popular types of Data Annotation jobs in High Point, NC are:
What are popular job titles related to Data Annotation Manager jobs in High Point, NC? For Data Annotation Manager jobs in High Point, NC, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in High Point, NC look for? The top searched job categories for Data Annotation Manager jobs in High Point, NC are:
What cities near High Point, NC are hiring for Data Annotation Manager jobs? Cities near High Point, NC with the most Data Annotation Manager job openings:
Reading Coach

$22/hr

Temporary

Re-posted 21 days ago


Job description

Position Details
Classification Information
Position Classification Title
Temp Hourly
FLSA
Non-Exempt
Position Class (Extract From Banner or PA)
55555
Position Overview
Position Summary
Winston-Salem State University invites applications for a Reading Coach within Learning Support Services. This temporary, non-teaching position plays a critical role in supporting student success, retention, and degree completion by providing targeted academic reading and literacy support to undergraduate students.
The Reading Coach delivers proactive, student-centered, and strengths-based academic support designed to strengthen college-level reading comprehension, learning strategies, and academic engagement across disciplines. The position primarily supports first-time freshmen, transfer students, and students identified as academically at risk, with an emphasis on early intervention and coordinated academic support.
Key Responsibilities
  • Provide individual and small-group academic reading coaching focused on comprehension, annotation, vocabulary development, fluency, and discipline-specific reading strategies.
  • Assist students with engaging effectively with textbooks, scholarly articles, learning management system materials, and gateway course content.
  • Teach metacognitive learning strategies that promote independent learning and academic confidence.
  • Support students identified through early alert systems, faculty referrals, or academic performance indicators.
  • Conduct proactive outreach and document student interactions and outcomes using designated student success platforms.
  • Collaborate with advisors, tutors, faculty, and the Writing and Communication Center as part of an integrated Learning Support Services model.
  • Facilitate literacy workshops and contribute to retention-focused academic support programming.
  • Track student engagement and contribute to assessment and reporting efforts related to student success and persistence.

Primary Function of Organizational Unit
The Learning Support Services unit supports Winston-Salem State University's mission to promote student success, retention, and degree completion by providing coordinated academic support services. Learning Support Services integrates tutoring, coaching, early alert response, and skill development into a centralized, data-informed support model that strengthens academic engagement and persistence for new and continuing students.
Position Information
Position Number
GN1198
Working Position Title
Reading Coach
Temporary Job Type
Non Student
Approved Competency Level
Contributing
Building and Room No.
| Hill Hall
Student Success Center
1st Floor/3rd Floor
Work Hours: From [time] to [time] on [days] of [week]
10 a.m. to 8 p.m., Monday - Thursday; 10 a.m. - 5 p.m. Friday 20
Hours per week
10
Months per year
By Semester
Appointment Type
Temporary Part-Time
Appointment Type
If Time Limited.
No
Appointment Length.
DHR Assigned Fields
FTE
100
Requirements and Preferences
Position required to work during periods of adverse weather or other emergencies
No
Minimum Experience/Education
  • Bachelor's degree from an accredited institution.
  • Experience providing academic support, tutoring, coaching, or instructional assistance to college students.
  • At least one year of relevant experience in reading, English language arts, or academic literacy support.

Preferred Years Experience, Skills, Training, Education
• Master's degree in English, Reading, Education, Higher Education, or a related field.
• Experience working with first-year, transfer, or academically at-risk student populations.
• Familiarity with first-year experience programming, retention initiatives, or coordinated care models.
• Experience using early alert systems, learning management systems, or student success platforms (e.g., EAB Navigate).
Required License or Certification
Valid US Driver's License
No
Commercial Driver's License Required
No
Physical Required
No
List any other medical/drug tests required