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Virtual Ai Rater Jobs in Lebanon, OH (NOW HIRING)

Teammate- Apparel

Dayton, OH · On-site

$12.50 - $19.50/hr

Cameras must be on during all virtual interviews. * AI tools are not permitted to be used by the ... Starting rate of pay may vary based on factors including, but not limited to, location, experience ...

Teammate- Apparel

Miamisburg, OH · On-site

$12.50 - $19.50/hr

Cameras must be on during all virtual interviews. * AI tools are not permitted to be used by the ... Starting rate of pay may vary based on factors including, but not limited to, location, experience ...

Teammate- Apparel

Liberty Township, OH · On-site

$12.50 - $19.50/hr

Cameras must be on during all virtual interviews. * AI tools are not permitted to be used by the ... Starting rate of pay may vary based on factors including, but not limited to, location, experience ...

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Virtual Ai Rater information

See Lebanon, OH salary details

$10

$22

$30

How much do virtual ai rater jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for virtual ai rater in Lebanon, OH is $22.28, according to ZipRecruiter salary data. Most workers in this role earn between $18.65 and $25.00 per hour, depending on experience, location, and employer.

What is a Virtual AI Rater?

Virtual AI Raters are individuals who remotely evaluate and assess the accuracy, relevance, and quality of artificial intelligence outputs, such as search engine results, ads, or chatbot responses. They follow specific guidelines to rate or annotate data, helping improve AI systems' performance. This role typically requires strong attention to detail, familiarity with online search engines, and the ability to provide objective feedback. Virtual AI Raters usually work part-time and have flexible schedules, making it a popular option for those seeking remote work opportunities.

What are the key skills and qualifications needed to thrive as a Virtual AI Rater, and why are they important?

To thrive as a Virtual AI Rater, you generally need strong analytical skills, attention to detail, and proficiency in English or the target language, often supported by a high school diploma or higher. Familiarity with web browsers, online research, and rating platforms or proprietary evaluation systems is typically required. Excellent time management, reliability, and the ability to follow detailed instructions set top performers apart in this role. These skills ensure accurate and consistent feedback, which is crucial for improving AI systems and maintaining quality standards.

What are some common challenges Virtual AI Raters face when evaluating AI-generated content, and how can these be addressed?

Virtual AI Raters often encounter challenges such as maintaining objectivity, adapting to evolving evaluation criteria, and managing repetitive tasks. To address these, it's important to follow standardized guidelines closely, participate in regular calibration sessions with peers or supervisors, and utilize provided tools for efficient task management. Engaging in ongoing training and staying updated on best practices can also help raters ensure consistent and high-quality evaluations.

What job categories do people searching Virtual Ai Rater jobs in Lebanon, OH look for?

The top searched job categories for Virtual Ai Rater jobs in Lebanon, OH are:

What cities near Lebanon, OH are hiring for Virtual Ai Rater jobs?

Cities near Lebanon, OH with the most Virtual Ai Rater job openings:

Infographic showing various Virtual Ai Rater job openings in Lebanon, OH as of August 2026, with employment types broken down into 72% Part Time, 14% Temporary, and 14% Contract. Highlights an 54% In-person, and 46% Remote job distribution, with an average salary of $46,342 per year, or $22.3 per hour.

Machine Learning Engineer

Apex Informatics

Cincinnati, OH • On-site

Full-time

Re-posted 17 days ago


Job description

Below is my newest requirement. Please send Full Legal Name, LinkedIn, Location, Contact Details, C2C rate, and work authorization status with each submittal.
Client: Kroger
Location: Hybrid onsite in Cincinnati OH (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Rate: Open (market rate)
We are seeking a dynamic Senior Machine Learning Engineer to lead the integration and operationalization of machine learning models. This role requires collaboration with data scientists and leadership teams, and a strong foundation in MLOps methodologies. Experience in diverse ML platforms, including Google Vertex AI and other cloud and open-source technologies, is essential. The candidate will bridge MLOps, data science, and leadership to ensure the smooth functioning of our ML infrastructure.
Qualifications:
Minimum of 4 years of experience in MLOps, with a demonstrated ability to work with various ML platforms.
Strong proficiency in Python and familiarity with data science methodologies.
Experience with cloud technologies, particularly Google Cloud and Vertex AI, and adaptability to technologies like Microsoft Azure or open-source tools.
Excellent communication skills, capable of bridging technical and business domains
Experience in developing state-of-the-art techniques for multi-stage, personalized, context-aware, and sequential recommender systems.
Hands-on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, transformers, and LLMs.
Capable software engineering skills to lead a multi stage recommender system model lifecycle from inception to production.