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Data Annotation For Ai Jobs in Ohio (NOW HIRING)

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

AI Legal Counsel - Remote

Akron, OH · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Senior AI Defense Engineer

Miamisburg, OH · On-site

$102K - $140K/yr

Incident Response & Forensics for AI Systems - Serve as technical lead for security incidents that involve AI services (e.g., abuse, data exfiltration via AI systems, compromised API keys, poisoned ...

Senior AI Defense Engineer

Miamisburg, OH · On-site

$102K - $140K/yr

Incident Response & Forensics for AI Systems - Serve as technical lead for security incidents that involve AI services (e.g., abuse, data exfiltration via AI systems, compromised API keys, poisoned ...

Senior AI Defense Engineer

Miamisburg, OH · On-site

$102K - $140K/yr

Incident Response & Forensics for AI Systems - Serve as technical lead for security incidents that involve AI services (e.g., abuse, data exfiltration via AI systems, compromised API keys, poisoned ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Showing results 41-60

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What are popular job titles related to Data Annotation For Ai jobs in Ohio?

For Data Annotation For Ai jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Annotation For Ai jobs in Ohio look for?

The top searched job categories for Data Annotation For Ai jobs in Ohio are:

What cities in Ohio are hiring for Data Annotation For Ai jobs?

Cities in Ohio with the most Data Annotation For Ai job openings:

Infographic showing various Data Annotation For Ai job openings in Ohio as of August 2026, with employment types broken down into 71% Full Time, 14% Part Time, 5% Temporary, and 10% Contract. Highlights an 68% In-person, 8% Hybrid, and 24% Remote job distribution.

$105K - $131K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


American Honda Motor rating

7.2

Company rating: 7.2 out of 10

Based on 449 frontline employees who took The Breakroom Quiz

23rd of 45 rated automakers


Job description

What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it’s a joyful one.  We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success.  We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

The Data and Solution Architect is responsible for defining, governing, and advancing the enterprise data architecture required to enable scalable, trusted, and responsible AI solutions in the AI Hub. This role ensures that data platforms, models, standards, and semantic structures are designed to support AI/ML, Generative AI, Agentic AI, experimentation (POCs), and production deployment, while aligning with enterprise data governance, security, and compliance requirements.

Key Accountabilities

AI‑Ready Data Architecture & Design

  • Lead the design of logical, physical, and semantic data architectures to support AI, advanced analytics, GenAI and Agentic AI use cases
  • Define AI‑ready data models, feature‑oriented structures, and analytics‑ready data assets aligned to enterprise data platforms
  • Ensure architectural alignment between data platforms, AI tooling, and MLOps pipelines
  • Support design and governance of the Foundry Ontology layer as the enterprise semantic backbone for AI use cases


Data Standards, Governance & Semantics

  • Work closely with Data Architecture and Governance teams, define and enforce data standards, metadata practices, naming conventions, and master/reference data patterns for AI use cases
  • Establish and maintain semantic consistency (business definitions, critical data elements, feature definitions) to enable explainable and reusable AI
  • Partner with Data Governance, Legal, and Compliance teams to ensure responsible and compliant AI data usage


AI Use Case Enablement & POC Support

  • Architect data flows and patterns supporting AI POCs, experimentation environments, and sandbox platforms
  • Guide data sourcing, profiling, and readiness activities for AI Data Scientists, Data and AI Engineers
  • Own the data architecture stage-gate process across POC, expanded pilot, and production phases; define and maintain AI-readiness scorecards to assess data asset maturity at each stage


Data Platform, Integration and Solution Architecture

  • Architect integrations across source systems, data platforms, analytics tools, and AI services
  • Evaluate and onboard new data sources and technologies to meet evolving AI requirements
  • Define reference architecture and architectural guardrails for cloud, hybrid, and global deployments
  • Lead/support solution architecture development for projects/products, where necessary

Collaboration, Review & Enablement

  • Serve as a data and solution architecture authority for AI‑related initiatives and design reviews
  • Mentor junior architects, data engineers and provide architectural guidance to delivery teams
  • Contribute to AI Hub (COE), communities of practice, standards bodies, and architecture review forums
Qualifications, Experience, and Skills
  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering/ Data Science, or related field
  • 8+ years of experience in data architecture, solution architecture, enterprise data platforms, or analytics architecture
  • Demonstrated experience supporting AI/ML, advanced analytics, or data‑driven product initiatives
  • Experience operating in federated governance or hub‑and‑spoke operating models
  • Experience with data profiling and data quality management
Workstyle
  • This is an onsite job. One remote workday per week, may be possible with prior departmental approval.
Visa sponsorship issues
  • This position is not eligible for work visa sponsorship

What differentiates Honda and makes us an employer of choice?

Total Rewards: 

  • Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
  • Regional Bonus (when applicable)
  • Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
  • Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
  • Paid time off, including vacation, holidays, shutdown
  • Company Paid Short-Term and Long-Term Disability 
  • 401K Plan with company match + additional contribution
  • Relocation assistance (if eligible)

Career Growth:

  • Advancement Opportunities
  • Career Mobility
  • Education Reimbursement for Continued learning
  • Training and Development Programs 

Additional Offerings:

  • Lifestyle Account
  • Childcare Reimbursement Account
  • Elder Care Support
  • Tuition Assistance & Student Loan Repayment
  • Wellbeing Program
  • Community Service and Engagement Programs
  • Product Programs

Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.


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