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Entry Level Data Labeling Analyst Jobs in Miami, FL

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Entry Level Data Labeling Analyst information

See Miami, FL salary details

$12

$31

$59

How much do entry level data labeling analyst jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level data labeling analyst in Miami, FL is $31.49, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $35.19 per hour, depending on experience, location, and employer.

What is an entry level data labeling analyst?

Entry Level Data Labeling Analysts are professionals who tag, categorize, or annotate data such as images, text, audio, or video to help train machine learning models. Their work is crucial in ensuring that artificial intelligence systems receive accurate and well-organized information for learning and prediction tasks. Typically, these analysts use specialized software tools to label data based on guidelines provided by data scientists or project leads. This role often requires attention to detail, consistency, and the ability to follow instructions closely. Entry level positions typically do not require advanced technical skills, making it a common starting point for those interested in AI and data science fields.

What does an entry level data labeling analyst do?

As an Entry Level Data Labeling Analyst, your daily tasks will often include reviewing and categorizing images, text, audio, or video datasets according to specific guidelines. You will use specialized software tools to tag or annotate data, ensuring accuracy and consistency to help train machine learning models. Your attention to detail directly impacts the quality of AI systems, making your work essential for the success of data-driven projects. Collaboration with team leads and engineers is common, as they may provide feedback or clarify labeling requirements.

What are the key skills and qualifications needed to thrive as an entry level data labeling analyst?

To thrive as an Entry Level Data Labeling Analyst, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data labeling platforms, spreadsheets, and annotation tools such as Labelbox or Supervisely is often required. Diligence, consistency, and the ability to follow instructions precisely are standout soft skills in this role. These competencies ensure the accurate and efficient preparation of high-quality labeled data, which is crucial for training reliable machine learning models.

What are the most commonly searched types of Data Labeling Analyst jobs in Miami, FL?

The most popular types of Data Labeling Analyst jobs in Miami, FL are:

What are popular job titles related to Entry Level Data Labeling Analyst jobs in Miami, FL?

For Entry Level Data Labeling Analyst jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Labeling Analyst jobs in Miami, FL look for?

The top searched job categories for Entry Level Data Labeling Analyst jobs in Miami, FL are:

What cities near Miami, FL are hiring for Entry Level Data Labeling Analyst jobs?

Cities near Miami, FL with the most Entry Level Data Labeling Analyst job openings:

Entry Level Data Labeling Analyst jobs near you
Infographic showing various Entry Level Data Labeling Analyst job openings in Miami, FL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $65,504 per year, or $31.5 per hour.

Financial Analyst - Fraud, Waste and Abuse (FWA) (Onsite)

Miami, FL • On-site

DOCTORS HEALTHCARE PLANS, INC.
Health Care and Social Assistance • 51 - 200 employees
Learn more about DOCTORS HEALTHCARE PLANS, INC.external

Full-time

Posted 21 days ago

Job description

Onsite Position
The Financial Analyst - Fraud, Waste and Abuse (FWA) is responsible for identifying, investigating and preventing fraudulent, wasteful and abusive activities related to healthcare claims, insurance, government programs, or organizational operations. This role uses data analysis, investigative techniques, and regulatory knowledge to detect suspicious patterns, minimize financial losses and ensure compliance with applicable laws and company policies.
Key Responsibilities:
Reporting & Analytics Support
  • Analyze medical, pharmacy, provider, and member-level claims data to identify potential FWA, overutilization, unusual billing patterns
  • Perform data mining, auditing, trend analysis, outlier detection, and root-cause analysis across providers, members, CPT codes, diagnosis codes, DRG codes, and claim types.
  • Generate and prioritize investigative leads
Recovery and Payment Integrity Activities
  • Support pre-payment and post-payment review activities
  • Recommend enhancements to claim edit rules and controls to prevent future improper payments
Reporting and Monitoring
  • Document models, provide investigative summaries and recommendations for review by FWA, Finance, Compliance, Medical Management, and other leadership.
  • Produce FWA dashboard, and reports on savings and recoveries, trends and emerging risks, provider and member monitoring, etc.
Documentation
  • Support FWA program reporting, audit responses, policy/procedure development, and operational documentation
Other
  • Maintain confidentiality of sensitive information and investigative findings
  • Meet performance goals as established for the position
  • Perform additional duties and responsibilities as assigned by management
The above statement reflects the general duties considered necessary to describe the principal functions of the job identified and shall not be considered as a detailed description of all work requirement inherent to the position.
Qualifications:
  • Bachelor’s degree
  • Three-year experience in healthcare and/or Medicare Advantage plans
  • Experience with healthcare claims analysis, large data sets and claim analytics
  • Ability to manage multiple investigations simultaneously
  • Able to meet deadlines, multi-task and thrive in high-pressure environment
  • Excellent oral and written communication
  • Proficiency with MS office with advanced skills in Excel and SQL
  • Experience with PowerBI and developing dashboards
  • Ability to work independently and collaboratively in a team environment
No Third Party Agencies or Submissions Will Be Accepted.   
Our company is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. DFWP   
Opportunities posted here do not create any implied or express employment contract between you and our company / our clients and can be changed at our discretion and / or the discretion of our clients. Any and all information may change without notice. We reserve the right to solely determine applicant suitability. By your submission you agree to all terms herein.

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