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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 · 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 ...

baymark

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 ...

baymark

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 ...

Prime AE Group Inc

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.

Prime AE Group Inc

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.

All 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 Jun 25, 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 proficiency with annotation tools and team management can influence pay levels.

Is data annotation high paying?

Data annotation managers typically earn higher salaries than entry-level annotators due to their supervisory responsibilities and expertise in labeling tools and processes. Salaries vary based on experience, location, and company size, but the role generally offers competitive pay within the data labeling industry.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation managers oversee this work, ensuring accuracy and quality using tools like labeling platforms and quality control procedures.

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.

Is it hard to get a job with data annotation?

Securing a job as a data annotation manager typically requires experience in data labeling, familiarity with annotation tools, and understanding of data quality standards. While entry-level roles may be accessible with basic skills, advancing to managerial positions often demands relevant experience and leadership abilities.

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 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 June 2026, with employment types broken down into 3% As Needed, 60% Full Time, and 37% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

Delivery Lead

HumanSignal

Columbus, OH • On-site

$90K - $130K/yr

Full-time

Posted 29 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.
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 - delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security. This role sits at the operational core of that delivery engine - responsible for ensuring our clients get the highest-quality data on time, every time.
This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery - and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard - this is the role for you
What You'll Do
The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high - and that's the point.
  • Lead and manage a team of Strategic Project Leads (SPLs) across multiple high-stakes AI data projects simultaneously
  • Own delivery outcomes for your projects: throughput, quality, SLA performance, cost efficiency, and customer satisfaction
  • Drive delivery across custom data pipelines and expert labeling workflows, translating researcher requirements into clear operational plans
  • Collaborate with AI lab researchers and procurement partners to define data strategies, scope programs, and resolve escalations
  • Drive systems-level improvements - standardize playbooks, improve tooling, and build infrastructure that makes the team faster and more reliable at scale
  • Coach and develop SPLs; ensure high-quality AI Trainer experience and strong contributor retention
  • Partner with Product and Engineering to evolve internal tooling, automation, and operational systems
Required Qualifications
  • 5+ years in operationally intensive roles (marketplace, data ops, logistics, or similar)
  • 1+ year of people management with clear impact on team performance
  • Metrics-driven with a systems-thinking approach to operations
  • Experience owning delivery outcomes across multi-stakeholder, high-velocity projects
  • Hands-on operator willing to dive into execution when needed
  • Must be proficient in using LLMs in your every day work, including building scripting logic and working with large datasets with LLM assistance
Preferred Qualifications
  • 1+ year in AI data operations (RLHF, annotation, model evaluation)
  • STEM background or strong technical fluency
  • Python & REACT working knowledge
  • Experience managing distributed contributor workforces at scale
  • Background in management consulting, investment banking, or high-growth startups

HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. HumanSignal does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are committed to working with and providing reasonable accommodations to individuals with disabilities.

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