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Full Time Machine Learning Data Annotation Jobs in Miami, FL

Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg ... This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and ...

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 ...

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 ...

Data Scientist

Miami, FL

$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 ...

Data Scientist

Miami, FL

$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 ...

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 ...

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 ...

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 ...

Data Scientist

Miami, FL

$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 ...

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 ...

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 ...

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 ...

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 ...

Data Scientist

Miami, FL

$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 ...

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 ...

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 ...

Data Scientist

Doral, FL

$112K - $257K/yr

AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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 ...

Showing results 41-60

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 Aug 12, 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 is a full time machine learning data annotation job?

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:
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.

Full-time

Re-posted 6 days ago


Job description

About Agile Defense
 
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.

Requisition #: 1590

Job Title: Data Scientist

Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL

Clearance Level: Top Secret with the ability to obtain an SCI, Must Have Clearance to Start

Job Descripton
Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense's CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.
 
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
 
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.
Education and Background
A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience
Required Skills
  • 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
  • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark
Preferred Skills
  • Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
  • Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
  • Strong understanding of data validation, model testing, and performance evaluation techniques.
  • Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
  • Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
Working Conditions
Requires work onsite in a SCIF
Our Core Values
 
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. 
 
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
 
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
 
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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