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Ai Data Training Jobs in Ohio (NOW HIRING)

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... model training, validation, and inference · Collaborate with ML engineers and data scientists to ... AI projects · Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop) · ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... model training, validation, and inference Collaborate with ML engineers and data scientists to ... or AI projects Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop ...

Flexjet LLC

AI Data Engineer

Cleveland, OH · On-site

$100 - $125/hr

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure ... Develop and manage datasets for model training, validation, and inference * Collaborate with ML ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... model training, validation, and inference Collaborate with ML engineers and data scientists to ... or AI projects Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop ...

NEURA Robotics

$80 - $100/hr

You play a critical role in enabling high-quality AI systems by transforming raw data into structured, reliable training datasets. * Design, build, and maintain pipelines for automated and semi ...

The Hartford

Sr AI Data Engineer

Columbus, OH · On-site

$117K - $175K/yr

Working experience with ThoughtSpot, Snowflake, semantic data layers, and AI for analytics or ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

The Hartford

Sr AI Data Engineer

Columbus, OH · On-site

$117K - $175K/yr

Working experience with ThoughtSpot, Snowflake, semantic data layers, and AI for analytics or ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Worky

Agentic AI Data Lead Software Engineer

Columbus, OH · On-site

$150 - $200/hr

Drive cross-functional collaboration with platform teams, domain Data Product Owners, AI/ML teams ... Formal training or certification on software engineering concepts and 5+ years applied experience ...

Deloitte

Sr Databricks Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology ... and training; licensure and certifications; and other business and organizational needs. The ...

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Ai Data Training information

What is AI data training?

AI data training refers to the process of teaching artificial intelligence systems, such as machine learning models, to recognize patterns and make decisions by feeding them large amounts of labeled data. This involves collecting, annotating, and preprocessing data so that the AI can learn from examples and improve its performance over time. Data trainers play a crucial role in ensuring that the data used is accurate, diverse, and relevant to the AI's intended tasks. Effective AI data training helps models become more accurate, reliable, and capable of handling real-world scenarios.

What are the key skills and qualifications needed to thrive as an AI data trainer, and why are they important?

To thrive as an AI Data Trainer, you need a solid understanding of data annotation, machine learning fundamentals, and attention to detail, often backed by experience in data science or a related field. Familiarity with data labeling tools, annotation platforms, and version control systems is typically required. Strong analytical thinking, communication skills, and the ability to follow complex guidelines set top performers apart in this role. These skills ensure that high-quality, accurate datasets are produced to effectively train and improve AI models.

What are some common challenges faced in AI data training roles, and how can they be effectively managed?

Professionals in AI Data Training often encounter challenges such as ensuring data accuracy, managing large and potentially unstructured datasets, and maintaining consistency in labeling. These challenges can be managed through rigorous quality control checks, adopting clear annotation guidelines, and utilizing collaborative tools that streamline the review process. Being detail-oriented and communicating effectively with data scientists and engineers also helps in resolving ambiguities and improving overall data quality.

What is the difference between Ai Data Training vs Data Analyst?

AspectAi Data TrainingData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI development and machine learning projectsAcross various sectors analyzing data to inform decisions

Ai Data Training involves preparing and labeling data for AI models, focusing on machine learning algorithms. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Ai Data Training is more technical and model-focused, whereas Data Analysts focus on analysis and reporting.

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

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

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

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

What cities in Ohio are hiring for Ai Data Training jobs?

Cities in Ohio with the most Ai Data Training job openings:

Ai Data Training jobs near you
Infographic showing various Ai Data Training job openings in Ohio as of September 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Hybrid job distribution.

AI Data Engineer

Cleveland, OH • On-site

Flexjet
Aerospace Product and Parts Manufacturing • 501 - 1,000 employees
Learn more about Flexjetexternal

$111K - $133K/yr

Full-time

Re-posted 4 days ago

Flexjet rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

22nd of 68 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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