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Remote Data Labeling Jobs in Florida (NOW HIRING)

Truvani

Direct Response Copywriter - REMOTE

Tampa, FL · On-site +1

$75K - $105K/yr

  • Medical

  • Retirement

  • PTO

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

Truvani

Direct Response Copywriter - REMOTE

Tampa, FL · Remote

$75K - $105K/yr

  • Medical

  • Retirement

  • PTO

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

Oates Energy

Document Processing Specialist

Jacksonville Beach, FL · Remote

$22 - $28/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position. Company Overview Oates Energy is a fast-growing provider of utility ... Upload, label, categorize, and maintain digital documents and records * Verify information across ...

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Zapp

US Buying & Operations Manager

Miami, FL · Remote

$120K/yr

NYC, SF, LA, CHI or MIA - Full-time (remote) We are looking for a hands-on US Buying & Operations ... Use demand data and sales trends to forecast, plan buys and manage inventory, minimising both ...

PNC Bank

Head of Sales, Linga

Naples, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... white-label partners), and expansion of the existing customer base. Reporting directly to the ... Use data-driven insights to continuously optimize performance across all channels. Maintain ...

Intermountain Health

$37.87 - $59.63/hr

Analyzes data, develops reports, reviews trends and recommends enhancements as defined by the ... Ongoing need for employee to see and read information, labels, documents, monitors, identify ...

Imh

Revenue Integrity Analyst II

Lake Park, FL · On-site +1

$37.87 - $59.63/hr

Analyzes data, develops reports, reviews trends and recommends enhancements as defined by the ... Ongoing need for employee to see and read information, labels, documents, monitors, identify ...

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All JobsData Labeling JobsRemote Data Labeling JobsRemote Data Labeling Jobs in Florida

Remote Data Labeling information

See Florida salary details

$8

$27

$61

How much do remote data labeling jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote data labeling in Florida is $27.36, according to ZipRecruiter salary data. Most workers in this role earn between $13.60 and $36.96 per hour, depending on experience, location, and employer.

What are common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in Florida?

The most popular types of Data Labeling jobs in Florida are:

What are popular job titles related to Remote Data Labeling jobs in Florida?

For Remote Data Labeling jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling jobs in Florida look for?

The top searched job categories for Remote Data Labeling jobs in Florida are:

What cities in Florida are hiring for Remote Data Labeling jobs?

Cities in Florida with the most Remote Data Labeling job openings:

Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Florida as of July 2026, with employment types broken down into 47% Full Time, 20% Part Time, 7% Temporary, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $56,909 per year, or $27.4 per hour.

Applied Data Scientist

Professional Staffing Services

Orlando, FL • Remote

Contractor

Re-posted 18 hours ago

Job description

Applied Data Scientist - Contract to Hire

Location: Florida (Remote but will need to travel to Orlando for your first day, and for occasional meetings and trainings. )

Employment Type: Full-Time, Pay: ~ 100K-150K

Sponsorship: Not Available (Now or in the future)

About The Company

Our client drives innovative, datadriven insights and scalable AI solutions across the entertainment ecosystem. The Data Science team partners with data engineering, marketing, product, and executive teams to transform audience data into actionable strategies and operational products.

A successful Applied Data Scientist thrives on both analytical creativity and production rigor. As a key member of our client's team, you will own endtoend modeling and deployment work-from the conceptual framing of business problems to data ingestion, model development, and reliable production delivery. Your work will directly shape how our company delivers value to clients and internal stakeholders.

Position Summary & Location Requirements

This is a Florida-based role. While the day-to-day work offers remote flexibility, candidates must reside in the state of Florida and meet the following travel requirements:

  • Day One: Ability to travel to Orlando, FL for your first day/onboarding.
  • Ongoing: Ability to travel to Orlando on occasion for collaborative meetings, trainings, and to support business needs.

Key Responsibilities

In this role, you will bridge the gap between business strategy and technical execution. Specifically, you will:

  • Model & Solution Development: Translate ambiguous business questions into structured analytical and ML solutions. Develop, validate, and optimize models impacting forecasting, segmentation, personalization, recommendation, or operational efficiency.
  • Production & MLOps: Build productionready pipelines and deploy models into scalable environments using robust MLOps practices (CI/CD, automated testing, monitoring), ensuring long-term lifecycle maintenance.
  • Collaboration & Communication: Partner cross-functionally to bridge business requirements and technical design. Communicate insights and technical decisions clearly to both technical and nontechnical stakeholders.
  • Documentation & Standards: Document all models, pipelines, and deployment processes comprehensively to ensure maintainability, reproducibility, and knowledge sharing.
  • Innovation: Stay ahead of emerging tools, techniques, and frameworks in ML/AI to influence best practices across the organization.

Core Qualifications

  • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Professional Experience: 5+ years of industry experience (excluding internships) in data science and machine learning, including proven ownership of model productization, monitoring, and iterative improvement.
  • Core ML Experience: 3+ years of building machine learning models for business applications (outside of academia), with deep expertise in both supervised and unsupervised learning algorithms.
  • Technical Stack:
  • Python: Strong programming skills with hands-on experience building, training, deploying, and monitoring ML models.
  • SQL: 2+ years of experience with database querying, data preparation, and analysis.
  • Data Warehousing: Working knowledge of large-scale platforms (e.g., Snowflake, SQL Server, BigQuery, Redshift).
  • Cloud Platforms: Familiarity with cloud environments (AWS, Azure, or GCP) and designing end-to-end ML pipelines from ingestion to production serving.
  • Execution Skills: Outstanding analytical skills to diagnose and resolve complex system issues, with a proven ability to manage multiple projects and prioritize tasks effectively.

What Sets You Apart (Preferred Qualifications)

  • Advanced Degree: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Domain Expertise: Industry experience in entertainment or e-commerce, including domains such as theme parks, hospitality, live performances, ticketing, or retail marketplaces.
  • Advanced ML Architectures: Hands-on experience designing and deploying recommendation models (collaborative filtering, content-based, transformer-based) or working with data labeling, taxonomy design, and classification frameworks.
  • Generative AI: Familiarity with GenAI techniques, language modeling, or frameworks like AWS Bedrock and Hugging Face.
  • Deep MLOps Tooling: Advanced experience with tools like SageMaker, Lambda, Airflow, or MLflow, and the ability to guide architectural/strategic decisions for ML infrastructure.

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