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Data Annotation For Ai Jobs in Ohio (NOW HIRING)

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

DUTIES & RESPONSIBILITIES Design, build, and maintain data pipelines for AI and machine learning workflows Collect, clean, and preprocess structured and unstructured data Develop and manage datasets ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

DUTIES & RESPONSIBILITIES · Design, build, and maintain data pipelines for AI and machine learning workflows · Collect, clean, and preprocess structured and unstructured data · Develop and manage ...

Flexjet LLC

AI Data Engineer

Cleveland, OH · On-site

$90 - $130/hr

Design, build, and maintain data pipelines for AI and machine learning workflows * Collect, clean, and preprocess structured and unstructured data * Develop and manage datasets for model training ...

Fairbanks Morse Defense

Data and AI Analyst

Fairfield, OH · On-site

$85 - $125/hr

For the men and women of Fairbanks Morse Defense it's the rapid and effective support of the fleets ... Analyze business processes to identify AI and data opportunities that improve efficiency, quality ...

New

micro1 AI

Legal AI Trainer - Remote

Cleveland, OH · Remote

$90 - $150/hr

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 ...

micro1 AI

Legal AI Trainer - Remote

Dayton, OH · Remote

$90 - $150/hr

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 ...

micro1 AI

Legal AI Trainer - Remote

Akron, OH · Remote

$90 - $150/hr

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 ...

micro1 AI

Legal AI Trainer - Remote

Toledo, OH · Remote

$90 - $150/hr

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 ...

micro1 AI

Legal AI Trainer - Remote

Cincinnati, OH · Remote

$90 - $150/hr

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 ...

micro1 AI

Legal AI Trainer - Remote

Columbus, OH · Remote

$90 - $150/hr

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 ...

Gravity IT Resources

AI Defense Engineer

Cincinnati, OH · On-site

$120 - $160/hr

Experience conducting application security reviews or threat modeling for APIs, microservices, or data platforms. * Familiarity with NIST AI RMF, ISO 42001, ISO 27001, and key privacy/security ...

micro1 AI

Legal Counsel - AI Trainer

Columbus, 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 Counsel ...

micro1 AI

AI Legal Counsel - Remote

Cincinnati, 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 ...

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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:

Data Annotation For Ai jobs near you
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.

AI Data Engineer

Flexjet

Cleveland, OH • On-site

$111K - $133K/yr

Full-time

Posted 29 days ago

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

19th of 67 rated aviation services

Job description

POSITION SUMMARY

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications.

DUTIES & RESPONSIBILITIES

Design, build, and maintain data pipelines for AI and machine learning workflows

Collect, clean, and preprocess structured and unstructured data

Develop and manage datasets for model training, validation, and inference

Collaborate with ML engineers and data scientists to support model development

Ensure data quality, integrity, and availability across systems

Optimize data storage and retrieval for performance and scalability

Implement data governance, security, and compliance best practices

Monitor and troubleshoot data pipeline issues

REQUIRED SKILLS & QUALIFICATIONS

Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)

Strong programming skills in Python and/or SQL

Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing)

Familiarity with machine learning workflows and data requirements

Experience with data processing tools (e.g., Pandas, Spark)

Knowledge of relational and non-relational databases

Basic understanding of cloud platforms (AWS, Azure, or Google Cloud)

PREFERRED QUALIFICATIONS

Experience supporting machine learning or AI projects

Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop)

Experience with data pipeline orchestration tools (e.g., Airflow, Prefect)

Knowledge of MLOps practices and tools

Experience working with unstructured data (text, images, etc.)

Understanding of data governance and privacy standards

Strong analytical and problem-solving skills

Attention to detail and data quality

Ability to work with cross-functional teams

Good communication skills

Ability to manage multiple data workflows

What Flexjet employees say

Pay

Benefits

Hours and flexibility

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