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Data Annotation For Ai Jobs in Ohio (NOW HIRING)

Flexjet

AI Data Engineer

Cleveland, OH

$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 ...

New

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 ...

RELX

AI Data Analyst

Dayton, OH

... AI solutions ... Do you enjoy collaborating across teams to ensure data is structured, governed, and usable for ...

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Data Annotation For Ai information

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 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 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 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.
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Infographic showing various Data Annotation For Ai job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Data Engineer

Flexjet

Cleveland, OH

$111K - $133K/yr

Full-time

Posted 2 days ago

New

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

18th of 65 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

· Bachelor’s 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

Workplace

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