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Data Annotation Manager Jobs in Ohio (NOW HIRING)

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

$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 · On-site

$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 ...

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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 Jul 16, 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 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 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 July 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.
Session Moderator, AI Data Studio (Part-Time)

Session Moderator, AI Data Studio (Part-Time)

HumanSignal

Columbus, OH

$18 - $25/hr

Part-time

Posted 11 days ago

Job description

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. 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 the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

About the Role

Moderators run our in-person data collection sessions. You'll set up the recording equipment, walk participants through their tasks, keep the session on track, and make sure the data we capture is clean and usable. It's part technical, part people. The best moderators are the ones who can troubleshoot a camera rig and put a nervous first-time participant at ease in the same five minutes.

  • Location: Columbus, OH (Discovery District), 100% onsite
  • Type: Part time, hourly
  • Pay: $18 to $25 per hour
What You'll Do
  • Lead group and individual data collection sessions from start to finish
  • Set up, operate, and troubleshoot recording equipment: cameras, microphones, sensors, and session software
  • Give clear instructions, answer participant questions, and keep sessions moving on schedule
  • Monitor recordings in real time and catch quality issues before they become re-shoots
  • Flag equipment or process problems to the shift Team Lead
  • Reset the studio between sessions
What You Bring
  • Hands-on experience with technical setup of some kind. We've had great moderators come from audio engineering, IT support, photography, videography, AV and live events, and robotics or equipment operation
  • Comfort speaking in front of a group and directing a room. This is non-negotiable; moderators lead sessions, not just run gear
  • Patience and clarity when explaining instructions to people with zero technical background
  • Attention to detail. Small setup mistakes ruin whole sessions
  • Availability for part-time shifts during active project periods, including some evenings and weekends
Why This Role

You'll work with interesting capture technology, build real facilitation experience, and see exactly how the data behind modern AI gets created. Flexible part-time scheduling around active projects.

HumanSignal is an equal opportunity employer. Final pay within the posted range is based on experience and equipment scope.