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Remote Data Labeling Analyst Jobs in Florida (NOW HIRING)

Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · On-site +1

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Actionable Outcomes

Data Analyst

Melbourne, FL · Remote

$80K - $120K/yr

Remote, within the United States Annual salary range: $80,000 - $120,000 Relevant experience: 3 years required; 5 years preferred U.S. citizenship required Actionable Outcomes (AO) is seeking a Data ...

Appodeal

Financial Data Analyst

Parkland, FL · On-site

We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located ... We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ...

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

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All JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in Florida

Remote Data Labeling Analyst information

What are the key skills and qualifications needed to thrive as a Remote Data Labeling Analyst, and why are they important?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are popular job titles related to Remote Data Labeling Analyst jobs in Florida? For Remote Data Labeling Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Florida look for? The top searched job categories for Remote Data Labeling Analyst jobs in Florida are:
What cities in Florida are hiring for Remote Data Labeling Analyst jobs? Cities in Florida with the most Remote Data Labeling Analyst job openings:
Remote Data Labeling Analyst jobs near you
Data Analyst

Data Analyst

Fortress Information Security

Orlando, FL • On-site, Remote

$89K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Data Analyst
Location: Remote
Salary Range: $89,501- $127,186 per year, depending on experience and qualifications.
Employment Type: Full-Time
Clearance: Ability to obtain and maintain a Secret U.S. Security Clearance (required)
What you can expect as the Data Analyst at Fortress...
The Data Analyst supports client delivery and internal business operations by developing scalable, accurate, and actionable reporting solutions that help clients assess and manage supply chain risk. This role partners closely with stakeholders across Professional Services, Product, and Engineering to design dashboards, reporting models, and data visualizations. The ideal candidate brings strong SQL and business intelligence expertise combined with a commitment to reporting quality, query performance optimization, and scalable data modeling practices. This is a compelling opportunity for a data professional looking to work independently in a fast-paced remote environment with direct exposure to both commercial and government clients.
Responsibilities Include
  • Develop and maintain dashboards, reports, and visualizations that enable clients and internal stakeholders to make informed supply chain risk management decisions.
  • Design, build, and maintain reporting data models and semantic layers to support scalable analytics and reporting solutions.
  • Write, optimize, and maintain performant SQL queries across relational and NoSQL data sources, including PostgreSQL and MongoDB.
  • Translate stakeholder reporting requirements into intuitive and actionable dashboards and reporting outputs.
  • Create and maintain reporting solutions within Looker and support future business intelligence platform transitions as needed.
  • Aggregate, validate, and analyze data from multiple systems to ensure reporting accuracy and consistency.
  • Automate recurring reporting processes and improve reporting efficiency using scripting languages such as Python or Node.js.
  • Deliver Excel-based reporting outputs and automate refresh processes using ODBC connections where appropriate.
  • Identify, investigate, and assist in resolving data integrity and reporting issues proactively.
  • Maintain high standards for reporting accuracy, dashboard usability, and query efficiency across analytics deliverables.
  • Collaborate with Product and Engineering teams to improve reporting quality, data accessibility, and analytics capabilities.
  • Communicate reporting logic, analytical findings, and technical concepts clearly to technical and non-technical stakeholders.
  • Prioritize and manage multiple reporting requests and deadlines with minimal supervision in a remote work environment.
  • Continuously identify opportunities to improve dashboard usability, reporting automation, and stakeholder adoption.
  • Independently leverage AI-enabled tools and prompt refinement techniques to improve efficiency, reporting quality, analysis, and documentation workflows.

Minimum Qualifications
  • 3+ years of experience developing dashboards and reporting solutions using business intelligence platforms such as Looker, Power BI, or Tableau.
  • Strong experience designing reporting data models and writing complex SQL queries.
  • Experience optimizing SQL query performance and troubleshooting reporting efficiency issues.
  • Experience working with PostgreSQL and MongoDB databases.
  • Experience using Python, Node.js, or similar scripting languages for reporting automation or dataset manipulation.
  • Experience translating business requirements into scalable reporting and visualization solutions.
  • Ability to communicate technical concepts, reporting logic, and analytical findings to non-technical stakeholders.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Demonstrated ability to manage priorities and work independently in a remote environment.
  • Strong attention to detail and commitment to reporting accuracy and data quality.
  • Availability to work primarily during East Coast business hours.
  • Ability to obtain and maintain a Secret U.S. Security Clearance (required).
  • Excellent written and verbal communication skills.

Preferred Skills
  • Advanced experience with Looker and LookML.
  • Experience supporting business intelligence platform migrations or reporting tool transitions.
  • Experience using Jira or similar project tracking tools.
  • Experience improving reporting automation and operational reporting workflows.
  • Ability to balance multiple priorities and stakeholder requests in a fast-paced environment.
  • Familiarity with AI-assisted productivity and analytics workflows.
  • CompTIA Security+ certification or familiarity with cybersecurity and supply chain risk management concepts.

Education
  • Bachelors Degree or equivalent professional work experience required.

Employee Benefits:
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave

Employment Perks:
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events

Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Pay Range: $89,501 - $127,186 per year

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