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Remote Data Labeling Analyst Jobs in Miami, FL (NOW HIRING)

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

New

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

This role requires deep expertise in data analysis, data modeling, and the design of complex ELT ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market ... Flexible remote work environment with a collaborative, high-talent team Salary: $135,000 - $155,000 ...

Energy Procurement Analyst Location: Remote (U.S.) About World Fuel At World Fuel, we help ... We're looking for an analytical, detail-oriented professional who enjoys working with data, solving ...

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... programs for data collection, engineering, and environmental applications #LI-Remote Skills ...

Head of Data

Miami, FL · Remote

$15K - $18K/mo

Build high-utility analytics, dashboards, and reporting frameworks that senior business leaders ... REMOTE-FIRST & ASYNCHRONOUS * Async-First : We prioritize output over "hours in a seat." * EST ...

Showing results 21-40

Remote Data Labeling Analyst information

See Miami, FL salary details

$32.5K

$79K

$130.1K

How much do remote data labeling analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data labeling analyst in Miami, FL is $79,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data labeling analyst?

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 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 job categories do people searching Remote Data Labeling Analyst jobs in Miami, FL look for? The top searched job categories for Remote Data Labeling Analyst jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Data Labeling Analyst jobs? Cities near Miami, FL with the most Remote Data Labeling Analyst job openings:
Infographic showing various Remote Data Labeling Analyst job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,041 per year, or $38 per hour.

Corporate Strategy Research Analyst

Initio Capital

Miami, FL • Remote

Full-time

Posted 2 days ago

New


Job description

ABOUT INITIO CAPITAL

Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

THE ROLE

As a Corporate Strategy Research Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations.

This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics.

WHAT YOU MAY WORK ON
  • Research companies, markets, business models, and investment themes.
  • Build target lists, market maps, competitive scans, and opportunity pipelines.
  • Analyze data, documents, websites, interviews, and public information to form concise recommendations.
  • Support strategy, sourcing, diligence, product, growth, finance, and operations projects.
WHO THIS IS FOR

This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship.

COMPENSATION

Compensation varies by project and experience. Many roles are flexible, remote, and project-based.