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Data Annotation Manager information

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$29.5K

$92.4K

$163.5K

How much do data annotation manager jobs pay per year?

As of May 31, 2026, the average yearly pay for data annotation manager in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

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.

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 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 Ohio? The most popular types of Data Annotation jobs in Ohio are:
What are popular job titles related to Data Annotation Manager jobs in Ohio? For Data Annotation Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in Ohio look for? The top searched job categories for Data Annotation Manager jobs in Ohio are:
What cities in Ohio are hiring for Data Annotation Manager jobs? Cities in Ohio with the most Data Annotation Manager job openings:
Data Annotation Manager jobs near you
Remote FP&A Manager & AI Finance Trainer

Remote FP&A Manager & AI Finance Trainer

Data Annotation

Fairlawn, OH • Remote

$50 - $60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Annotation is seeking experienced finance professionals for a remote role where you can help train AI Assistant models. This position offers flexible hours and the opportunity to work on varied projects with a competitive hourly rate of USD $50–$60. You will review AI outputs related to macro trends and corporate finance, providing critical feedback to improve accuracy and reasoning.

Ideal candidates should be detail-oriented and possess a master's or higher degree in finance. #J-18808-Ljbffr

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