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Prompt Data Annotation Ai Jobs in Ohio (NOW HIRING)

$70 - $90/hr

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 ...

OH · On-site

Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy. * Stay up-to ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Support data annotation and quality validation activities * Maintain accurate operational records ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Support data annotation and quality validation activities * Maintain accurate operational records ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Support data annotation and quality validation activities * Maintain accurate operational records ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Support data annotation and quality validation activities * Maintain accurate operational records ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI ... Evaluate and improve LLM performance through prompt engineering, model benchmarking, hallucination ...

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI ... Evaluate and improve LLM performance through prompt engineering, model benchmarking, hallucination ...

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI ... Evaluate and improve LLM performance through prompt engineering, model benchmarking, hallucination ...

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI ... Evaluate and improve LLM performance through prompt engineering, model benchmarking, hallucination ...

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Proficiency in threat modeling AI systems and defending against AI-specific attacks (e.g., OWASP Top 10 for LLMs, prompt injection, training data poisoning, model inversion, indirect prompt injection)

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Prompt Data Annotation Ai information

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

AspectPrompt Data Annotation AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, often with AI teamsRemote or on-site, often with data teams
Industry UsageAI development, machine learning projectsData management, machine learning datasets
Job FocusAnnotating data for AI prompts and modelsLabeling data for training AI algorithms

Prompt Data Annotation Ai specialists focus on creating high-quality annotations specifically for AI prompts, ensuring models understand context. Data Labelers perform similar tasks but may work on broader datasets. Both roles require attention to detail and are vital in AI development, often overlapping but with different emphasis on prompt-specific annotation versus general data labeling.

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

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

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

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

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

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

Infographic showing various Prompt Data Annotation Ai job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Data Annotation Specialist (human)

NEURA Robotics

On-site

$70 - $90/hr

Other

Posted 17 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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