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From Home Ai Data Rater Jobs in Ohio (NOW HIRING)

$70 - $90/hr

Ingest and integrate data from multimodal sources into structured data workflows * Apply pre ... Solid understanding of AI / machine learning fundamentals and data requirements * Experience with ...

AI & Data Careers Event

Cincinnati, OH · On-site

$109K - $132K/yr

Collect, analyze and document user requirements working with AI engineers to align data sources to ... Office based culture with occasional WFH that provides flexibility for eligible positions after ...

$205.52 - $274.03/hr

ATVANTAGE | Köln, München oder Home Office | Vollzeit & Festanstellung | Ab sofort Wofür wir dich suchen Als Director AI, Data & Analytics (w/m/d) trägst du die unternehmerische ...

In this role, you will build modern, agentic data solutions that combine ThoughtSpot, Snowflake, semantic data assets, and AI-powered analytics to help actuaries move faster from data to insight to ...

$90 - $120/hr

## Senior Data & AI Consultant (all genders)Applylocations: Eschborn: Stuttgart: Hannover: Munich ... from home* Profit share scheme: In addition to your annual salary, you may receive a profit share ...

$102.57 - $136.77/hr

Design and build scalable, reliable data pipelines for AI‑driven features -- from raw device ... AI integration tasks * network domain knowledge: Familiarity with WAN, LAN, Switching, Wi‑Fi or ...

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From Home Ai Data Rater information

What is the difference between From Home Ai Data Rater vs From Home Content Moderator?

AspectFrom Home Ai Data RaterFrom Home Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI training, data labelingOnline platforms, social media moderation
Common Search IntentData annotation, AI training jobsContent review, community moderation jobs

Both roles are remote and require similar skills, but From Home Ai Data Raters focus on labeling data to train AI systems, while From Home Content Moderators review online content to ensure community guidelines are followed. The roles differ mainly in their purpose within the tech industry, with data raters supporting AI development and content moderators maintaining platform integrity.

What are the most commonly searched types of Ai Data Rater jobs in Ohio?

The most popular types of Ai Data Rater jobs in Ohio are:

What cities in Ohio are hiring for From Home Ai Data Rater jobs?

Cities in Ohio with the most From Home Ai Data Rater job openings:

Infographic showing various From Home Ai Data Rater job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

AI Data Annotation Specialist (human)

NEURA Robotics

On-site

$70 - $90/hr

Other

Posted 9 days ago


Job description

Your mission & challenges

As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and maintain scalable workflows for automated data annotation, while ensuring that datasets are properly validated, standardized, and formatted for efficient model training.

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-automated data annotation
  • Ingest and integrate data from multimodal sources into structured data workflows
  • Apply pre-labeling techniques using existing models to accelerate annotation processes
  • Validate and ensure the quality, consistency, and completeness of annotated datasets
  • Identify and resolve data quality issues, inconsistencies, and biases
  • Transform and standardize datasets into model-ready formats
  • Collaborate closely with ML Engineers to optimize datasets for training and evaluation
What we can look forward to
  • Degree in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in machine learning operations, AI, or software engineering
  • Strong programming skills in Python and C++
  • Solid understanding of AI / machine learning fundamentals and data requirements
  • Experience with data annotation tools or labeling workflows
  • Familiarity with dataset structuring and formatting for ML frameworks (e.g., robotics datasets, multimodal data)
  • Strong attention to detail and a quality-driven mindset
  • Experience with cloud platforms (AWS, GCP, Azure) is a plus
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