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Annotation Analyst Jobs in Ohio (NOW HIRING)

Data Annotation

$50 - $60/hr

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management * A current, in progress, or completed Masters and/or PhD is is ...

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All JobsAnnotation Analyst JobsAnnotation Analyst Jobs in Ohio

Annotation Analyst information

See Ohio salary details

$29.5K

$69.6K

$123.6K

How much do annotation analyst jobs pay per year?

As of Jun 16, 2026, the average yearly pay for annotation analyst in Ohio is $69,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $82,700.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of an Annotation Analyst?

As an Annotation Analyst, your daily responsibilities generally include reviewing and labeling large volumes of data—such as images, text, or audio—according to predefined guidelines or project requirements. You may also participate in quality control processes, address edge cases or ambiguities in the data, and collaborate with project managers, data scientists, or other analysts to ensure consistency and accuracy. Additionally, you might provide feedback on annotation tools or contribute to refining categorization criteria. The role often involves both independent work and teamwork within a fast-paced, detail-oriented environment, where precision is essential for supporting training and evaluation of AI or machine learning models.

Is an annotation analyst a good job?

An annotation analyst is a role that involves labeling data for machine learning models, requiring attention to detail and familiarity with annotation tools. The job can offer flexible schedules and remote work options but may involve repetitive tasks and lower pay compared to other tech roles. Overall, it can be a good entry-level position for those interested in data and AI development.

What qualifications do I need for data annotation?

Annotation analysts typically need a high school diploma or equivalent, strong attention to detail, and good reading comprehension skills. Familiarity with data labeling tools and basic computer skills are also important, and some roles may require knowledge of specific domains like healthcare or technology. Certifications are not usually required but can enhance job prospects.

What does an annotation analyst do?

An annotation analyst is responsible for labeling and categorizing data, such as images, text, or videos, to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working in a team environment with quality control measures.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the company and location. While some positions offer flexible schedules and remote work, the pay generally does not compare to higher-skilled tech roles, and advancement may require developing additional skills or certifications.

What are the key skills and qualifications needed to thrive in the Annotation Analyst position, and why are they important?

To thrive as an Annotation Analyst, you need exceptional attention to detail, analytical thinking, and proficiency in data labeling or linguistic annotation, often supported by a relevant degree such as linguistics or computer science. Familiarity with annotation tools and platforms (like Labelbox, Prodigy, or proprietary systems) and knowledge of data privacy standards are highly beneficial. Strong communication, collaboration, and time management skills help in working efficiently with multidisciplinary teams and meeting project deadlines. These qualities are crucial for producing high-quality, accurate datasets that directly impact the success of machine learning and AI initiatives.

What is an Annotation Analyst job?

An Annotation Analyst is responsible for labeling and categorizing data, such as text, images, audio, or video, to help improve machine learning models and AI systems. They follow specific guidelines to ensure accuracy and consistency in annotations. This role often involves reviewing, analyzing, and correcting data to enhance AI algorithms' performance. Annotation Analysts typically work with teams developing natural language processing (NLP), computer vision, or speech recognition technologies. Strong attention to detail and familiarity with industry tools are key skills for success in this role.

What are popular job titles related to Annotation Analyst jobs in Ohio? For Annotation Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Annotation Analyst jobs in Ohio look for? The top searched job categories for Annotation Analyst jobs in Ohio are:
Annotation Analyst jobs near you
Infographic showing various Annotation Analyst job openings in Ohio as of June 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $69,649 per year, or $33.5 per hour.
Remote Financial Analyst - AI Trainer ($50-$60 per hour)

Remote Financial Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Clayton, OH • Remote

$50 - $60/hr

Other

Posted 19 days ago

Job description

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

 

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

 

In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets

  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work

  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.

  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

 

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

 

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when

  • You work on your own schedule, on your own computer, from the comfort of your own home

  • Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects

 

Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs

  • Evaluate the quality produced by AI models for correctness and performance

 

Qualifications:

  • Fluency in English (native or bilingual level)

  • Detail-oriented

  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

  • A current, in progress, or completed Master's and/or PhD is preferred but not required

 

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

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