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Data Annotation Manager Jobs in Ohio (NOW HIRING)

Patient Access Representative

Dayton, OH · On-site

$16.75 - $21.50/hr

Maintain accurate accounts, i.e. required signatures, proper account annotation, current ... Manage revenue cycle, production logs, balances and collections for self-pay clients. * Maintain ...

We conduct research and development, manage national laboratories, design and manufacture products ... Regulatory network analysis and genetic annotation of data. * Participating in collaborative ...

Mechanical Associate II

Akron, OH · On-site

$80K - $100K/yr

... Data Centers, Residential, and Military/DoD facilities. What You'll Do: As a Mechanical Associate ... features and annotation styles, surfaces, line styles, sheet set manager and drawing setup.

Mechanical Associate II

Columbus, OH · On-site

$80K - $100K/yr

... Data Centers, Residential, and Military/DoD facilities. What You'll Do: As a Mechanical Associate ... features and annotation styles, surfaces, line styles, sheet set manager and drawing setup.

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Showing results 1-20

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 cities in Ohio are hiring for Data Annotation Manager jobs? Cities in Ohio with the most Data Annotation Manager job openings:
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.
Data Study Participant (Onsite Columbus, Ohio)

Data Study Participant (Onsite Columbus, Ohio)

HumanSignal

Columbus, OH

$100/day

Full-time

Re-posted 10 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.

Get Paid $100 for 90 Minutes of Fun!

Love being active? Enjoy trying new things? Want to make some quick cash while helping build the future of AI?

We're looking for energetic people in Columbus, Ohio to participate in a super casual, fun data collection study. Think of it as getting paid to hang out, move around, and be yourself in front of a camera—no experience needed, no memorization, just you doing simple everyday actions!

What You'll Do

Visit our Columbus location for a 90-minute session where you'll:

  • Perform easy, everyday activities like walking, gesturing, talking, and moving around
  • Work with our friendly team who'll capture images, videos, and audio
  • Try different setups with various props, backgrounds, and lighting
  • Just be yourself—no acting skills required!
  • Share 8-10 photos from your photo library to aid with the study.

It's relaxed, straightforward, and way more fun than it sounds.

Bring Your Crew!

Friends and family are welcome! Even better—if you have siblings of the same gender with less than 5 years age difference, we'd especially love to have you both participate.

We also have opportunities for participants aged 12-17!

What You'll Earn

$100 per adult participant (18+) for just 90 minutes of your time!

BONUS: Earn $25 for every person you refer who completes the study! Know someone who'd be perfect for this? Send them our way and get paid when they participate.

Who You Are

You're perfect for this if you:

  • Are located in or near Columbus, Ohio
  • Are 18 years or older (under 18 with parental consent)
  • Are comfortable being recorded on camera
  • Can follow simple directions
  • Want an easy way to earn competitive pay!

All backgrounds, body types, and experience levels welcome—we want real, diverse people!

Why You'll Love This
  • Quick cash — $100 for 90 minutes
  • Zero pressure — just be yourself and have fun
  • Bring your people — friends and family can join
  • Referral bonuses — earn $25 per successful referral
  • Help shape AI technology that learns from real human movement and expression
  • Flexible scheduling — find a time that works for you

Ready to make some easy money while contributing to cutting-edge AI development? Sign up today!


Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.

Demographic Information Disclosure: This research study requires the collection of demographic information (including but not limited to age, gender, ethnicity, and physical characteristics) to ensure appropriate diversity and representation in AI training data. All demographic information collected will be used solely for research purposes and handled in accordance with applicable privacy laws. Participation in this study is completely voluntary, and you have the right to decline participation or withdraw at any time without penalty. By participating, you consent to the collection of this demographic information as part of the study requirements.