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Data Annotation Manager Jobs in Ohio (NOW HIRING)

NEURA Robotics

$70 - $90/hr

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and ...

Apex Systems

Data Engineer

Columbus, OH · On-site

$40 - $55/hr

Manage and optimize AWS S3 storage solutions, including bucket design, organization, lifecycle ... Support workflows that create models and prepare datasets for annotation and review activities.

HumanSignal

Delivery Lead

Columbus, OH · On-site

$90K - $130K/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 ...

HumanSignal

Delivery Lead

Columbus, OH · On-site

$90K - $130K/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 ...

HumanSignal

High Volume (TOFU) Recruiter

Columbus, OH · On-site +1

$55K - $100K/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 ...

HumanSignal

Delivery Lead

Columbus, OH

$90K - $130K/yr

Level: Manager Compensation: $90,000 - $130,000 Location: Onsite in Columbus, Ohio About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation ...

HumanSignal

Operations Admin

Columbus, OH

$70K - $85K/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 ...

HumanSignal

Operations Admin

Columbus, OH · On-site

$70K - $85K/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 ...

Philips Iberica SAU

$90 - $120/hr

Owns end‑to‑end data strategy and oversees data management in collaboration with data/engineering teams, ensuring data quality, completeness, annotation integrity, adherence to protocol and ...

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All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Ohio

Data Annotation Manager information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do data annotation manager jobs pay per year?

As of Aug 26, 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 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 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 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
Infographic showing various Data Annotation Manager job openings in Ohio as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 74% In-person, 6% Hybrid, and 20% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

AI Data Annotation Specialist (human)

On-site

NEURA Robotics
See more jobs at NEURA Roboticsexternal

$70 - $90/hr

Other

Posted 8 days ago

Job description

Your mission & challenges

As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and maintain scalable workflows for automated data annotation, while ensuring that datasets are properly validated, standardized, and formatted for efficient model training.

You play a critical role in enabling high-quality AI systems by transforming raw data into structured, reliable training datasets.

  • Design, build, and maintain pipelines for automated and semi-automated data annotation
  • Ingest and integrate data from multimodal sources into structured data workflows
  • Apply pre-labeling techniques using existing models to accelerate annotation processes
  • Validate and ensure the quality, consistency, and completeness of annotated datasets
  • Identify and resolve data quality issues, inconsistencies, and biases
  • Transform and standardize datasets into model-ready formats
  • Collaborate closely with ML Engineers to optimize datasets for training and evaluation
What we can look forward to
  • Degree in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in machine learning operations, AI, or software engineering
  • Strong programming skills in Python and C++
  • Solid understanding of AI / machine learning fundamentals and data requirements
  • Experience with data annotation tools or labeling workflows
  • Familiarity with dataset structuring and formatting for ML frameworks (e.g., robotics datasets, multimodal data)
  • Strong attention to detail and a quality-driven mindset
  • Experience with cloud platforms (AWS, GCP, Azure) is a plus
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