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Full Time Machine Learning Data Annotation Jobs in Miami, FL

AgileEngine

Senior Data Scientist ID71658

Miami, FL · On-site +1

... machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives; - Establish a unified data delivery structure and dashboards to drive ...

Rempli

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

If you loveworking with data, designing machine learning models, andturning complex algorithms into scalable solutions - we want tohear from you. Responsibilities * Design, develop, and deploy ...

Nicklaus Children's Hospital

Data Engineer

Miami, FL · On-site

$104K - $125K/yr

Use of machine learning patterns for data discovery and on tasks that can be automated. Qualifications Minimum Job Requirements * Bachelor's Degree in IT, Biomedical Informatics, Computer Science ...

Nicklaus Children's Health System

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Use of machine learning patterns for data discovery and on tasks that can be automated. Qualifications Minimum Job Requirements * Bachelor's Degree in IT, Biomedical Informatics, Computer Science ...

The Subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... Apply a variety of advanced analytical techniques including predictive modeling, machine learning ...

Booz Allen Hamilton

Data Scientist, Mid

Homestead, FL

$77K - $176K/yr

Ability to design and deploy workflows, ETL pipelines, and machine learning models on platforms ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Data Scientist, Mid

Homestead, FL · On-site

$77K - $176K/yr

Ability to design and deploy workflows, ETL pipelines, and machine learning models on platforms ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Pwc

Payer Healthcare Data Scientist, Manager

Miami, FL

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

TelevisaUnivision

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

... machine learning, and product initiatives • Ensure data quality, integrity, security, and availability across the data ecosystem • Partner with Product Managers, Data Scientists, Analysts, and ...

Booz Allen Hamilton

Data Scientist, Mid

Homestead, FL · On-site

... and machine learning models on platforms such as Databricks, Snowflake, or Palantir Foundry • Ability to obtain a Secret clearance • HS diploma or GED and 5+ years of experience with Data ...

Incubator Lab

Head of Data (Remote)

Miami, FL · Remote

$15K - $18K/yr

Lead data-driven innovation, building the production pipeline for advanced machine learning, predictive modeling, and generative AI initiatives. Platform Architecture & Data Product Delivery * Data ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Miami, FL

Full Time Machine Learning Data Annotation information

See Miami, FL salary details

$35.9K

$117.4K

$187.9K

How much do full time machine learning data annotation jobs pay per year?

As of Jul 23, 2026, the average yearly pay for full time machine learning data annotation in Miami, FL is $117,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $130,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Miami, FL? For Full Time Machine Learning Data Annotation jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Miami, FL look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Miami, FL are:
Full Time Machine Learning Data Annotation jobs near you
Infographic showing various Full Time Machine Learning Data Annotation job openings in Miami, FL as of July 2026, with employment types broken down into 20% Full Time, 7% Part Time, 67% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $117,392 per year, or $56.4 per hour.
Senior Data Scientist ID71658

Senior Data Scientist ID71658

AgileEngine

Fort Lauderdale, FL • On-site, Remote

Full-time

This job post has expired 1 day ago. 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 Senior Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 5+ years of data science experience with direct commercial application to vulnerability management, operating with full autonomy.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- 5+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks, including TensorFlow and PyTorch;
- Experience with data visualization tools;
- Commercial experience applying data science specifically to vulnerability management;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
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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