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Annotation Analyst Jobs in Florida (NOW HIRING)

AgileEngine

Taxonomy Analyst ID76178

Boca Raton, FL · On-site

... labeling/annotation; - Strong analytical skills, exceptional attention to detail, and sharp pattern recognition abilities; - Proven experience reviewing, processing, and navigating high-volume ...

Metova Federal

Training Solutions Intern

Orlando, FL · On-site

$14 - $18.75/hr

Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer ... Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ...

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Annotation Analyst information

See Florida salary details

$23.2K

$54.7K

$97.1K

How much do annotation analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for annotation analyst in Florida is $54,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,200.00 and $65,000.00 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 to train machine learning models, often 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. Its suitability depends on individual preferences for data work and career goals.

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 remains modest compared to other tech roles, and advanced skills or certifications can lead to higher compensation.

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 qualifications do you need to be a data annotator?

To be a data annotator, typically a high school diploma or equivalent is required, along with strong attention to detail and basic computer skills. Familiarity with annotation tools and the ability to follow guidelines accurately are also important for success in this role.
What are popular job titles related to Annotation Analyst jobs in Florida? For Annotation Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Annotation Analyst jobs in Florida look for? The top searched job categories for Annotation Analyst jobs in Florida are:
Annotation Analyst jobs near you
Infographic showing various Annotation Analyst job openings in Florida as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $54,747 per year, or $26.3 per hour.
Taxonomy Analyst ID76178

Taxonomy Analyst ID76178

AgileEngine

Boca Raton, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Taxonomy Analyst with native-level English fluency to review, annotate, and classify large-scale job and resume datasets according to strict taxonomy guidelines for an HR tech platform serving global English-speaking markets. You will standardize job titles, map occupations, validate metadata, and perform data cleanup across high-volume datasets while adapting content for regional relevance across diverse English markets. The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points.
WHAT YOU WILL DO
- Review, annotate, and classify large-scale datasets (job descriptions, resumes, and skill profiles) according to strict taxonomy guidelines;
- Support daily operations by standardizing job titles, mapping occupations, validating metadata, and continuously improving overall taxonomy quality;
- Perform data cleanup and validation to identify patterns, resolve inconsistencies, and ensure accurate, standardized outputs;
- Adapt and validate multilingual and localized content to ensure regional relevance across diverse English markets;
- Strictly follow established labeling guidelines while exercising sound, independent judgment on ambiguous data points.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- Native-level fluency in English;
- 3+ years of proven experience in taxonomy, metadata management, content classification, data validation, or data labeling/annotation;
- Strong analytical skills, exceptional attention to detail, and sharp pattern recognition abilities;
- Proven experience reviewing, processing, and navigating high-volume datasets.
NICE TO HAVES
- Market knowledge or familiarity with the professional landscapes of Ireland, India, the United Arab Emirates, Australia, or Singapore;
- Domain knowledge in HR tech, recruitment, or job taxonomy (occupational mapping, labor market structures);
- Proficiency with Excel / Google Sheets or basic SQL queries;
- Hands-on experience working with LLMs / AI tools (e.g., ChatGPT, Gemini, Claude) for data curation or evaluation.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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