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Artificial Intelligence Data Annotation Jobs in Miami, FL

Sr Databricks Data Engineer

Miami, FL · On-site

$109K - $131K/yr

You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the ...

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Showing results 41-60

Artificial Intelligence Data Annotation information

See Miami, FL salary details

$22.8K

$90.9K

$176.5K

How much do artificial intelligence data annotation jobs pay per year?

As of Sep 5, 2026, the average yearly pay for artificial intelligence data annotation in Miami, FL is $90,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,388.00 and $127,164.00 per year, depending on experience, location, and employer.

What is an artificial intelligence data annotation?

An Artificial Intelligence Data Annotation job involves labeling, tagging, or categorizing data such as text, images, audio, or video to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include bounding box annotation, sentiment analysis, transcription, or entity recognition, depending on the AI application. This role is essential in industries like autonomous vehicles, healthcare, and natural language processing. Attention to detail and familiarity with annotation tools are key skills for this job.

What does an artificial intelligence data annotation do?

Daily responsibilities for an Artificial Intelligence Data Annotation professional typically include reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them according to project guidelines. You may also participate in quality assurance checks, provide feedback to improve annotation processes, and collaborate with data scientists or project managers to clarify labeling standards. Most annotation work requires maintaining strict attention to detail and meeting production quotas or deadlines. Work is often structured individually but may involve collaboration within a larger team, especially when aligning on new guidelines or best practices. This structured, detail-oriented environment supports the development of high-quality training data for AI systems.

What are the key skills and qualifications needed to thrive in artificial intelligence data annotation?

To thrive as an Artificial Intelligence Data Annotation specialist, you need strong attention to detail, proficiency in data labeling, and a basic understanding of machine learning concepts, often supported by a high school diploma or higher. Familiarity with annotation platforms (such as Labelbox or CVAT), spreadsheet software, and sometimes knowledge of programming basics or data formats (like CSV or JSON) is beneficial. Strong communication skills, consistency, and the ability to work both independently and collaboratively are key soft skills for this role. These competencies ensure high-quality, accurate datasets that are critical for training reliable AI models.

What are artificial intelligence data annotation jobs?

Artificial intelligence data annotation jobs involve labeling and categorizing data such as images, videos, text, or audio to help train machine learning models. These roles require attention to detail and often involve using specialized tools or platforms, with tasks typically performed remotely and on flexible schedules.

What are popular job titles related to Artificial Intelligence Data Annotation jobs in Miami, FL?

For Artificial Intelligence Data Annotation jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Data Annotation jobs in Miami, FL look for?

The top searched job categories for Artificial Intelligence Data Annotation jobs in Miami, FL are:

Infographic showing various Artificial Intelligence Data Annotation job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,880 per year, or $43.7 per hour.

Chief Artifical Intelligence Officer (CAIO)

City National Bank of Florida

Coral Gables, FL • On-site

Full-time

Re-posted 14 days ago


Job description

The Chief Artificial Intelligence Officer (CAIO) is responsible for defining and executing the Bank’s enterprise artificial intelligence strategy to drive operational efficiency, enhance risk management, and improve client experience.

This role operates as a core member of the leadership team, directly supporting the Chief Operations Officer in transforming the Bank’s operating model through the disciplined adoption of artificial intelligence, advanced analytics, and intelligent automation.

The CAIO is accountable for translating AI capabilities into measurable business outcomes by embedding AI into core workflows, decision-making processes, and customer interactions, while ensuring appropriate governance, control, and regulatory alignment within a highly regulated banking environment.

What You'll Do:

Enterprise AI Strategy and Execution

  • Define and lead the Bank’s AI strategy aligned with business priorities, growth objectives, and operational efficiency goals
  • Translate strategy into a prioritized portfolio of initiatives with clear business cases and measurable ROI
  • Drive enterprise-wide adoption of AI across operations, credit, risk, fraud, compliance, and client-facing functions
  • Establish clear success metrics tied to productivity, cost reduction, revenue enhancement, and risk mitigation

Operating Model Transformation

  • Redesign core business processes to incorporate AI-driven decisioning and automation
  • Lead the development and deployment of AI-enabled workflows and digital agents across the enterprise
  • Identify and eliminate manual, repetitive tasks through automation and intelligent process redesign
  • Partner with business leaders to embed AI into day-to-day operations

AI Platform and Infrastructure

  • Define the Bank’s AI and data architecture strategy in partnership with Technology
  • Oversee the development and deployment of scalable AI platforms, tools, and environments
  • Establish standards for model development, testing, deployment, and monitoring
  • Ensure seamless integration of AI capabilities into existing systems and workflows

Governance, Risk, and Control

  • Establish and maintain an enterprise AI governance framework, including policies, standards, and controls
  • Ensure all AI use cases comply with regulatory expectations and internal risk management standards
  • Partner with Risk, Compliance, and Legal to address model risk, data usage, and decision transparency
  • Implement controls to manage bias, explainability, data quality, and output reliability

Business Use Case Delivery

  • Identify high-impact AI opportunities and lead end-to-end execution from concept through deployment
  • Prioritize initiatives based on financial impact, feasibility, and risk considerations
  • Partner closely with business units to ensure adoption and sustained utilization
  • Track and report realized value from AI initiatives

Data and Decision Intelligence

  • Ensure AI initiatives are supported by high-quality, well-governed data
  • Promote the use of advanced analytics to enhance decision-making across the Bank
  • Partner with data and technology teams to improve access, usability, and reliability of data assets

Talent and Capability Development

  • Build and lead a high-performing AI organization, including data science, engineering, and AI product management
  • Develop enterprise-wide AI literacy to enable adoption across all levels of the organization
  • Attract, develop, and retain specialized talent in AI and advanced analytics
  • Foster a culture of innovation with strong execution discipline

Executive Alignment and Reporting

  • Provide regular updates to the Chief Operating Officer and executive team on AI initiatives, performance, and risks
  • Support executive-level and Board reporting through the COO as required
  • Align AI investments and initiatives with overall enterprise priorities and resource planning

  • 10+ years in technology , data, AI, or analytics leadership roles required. 
  • Deep expertise in artificial intelligence, machine learning, and automation technologies
  • Strong business acumen with ability to link AI initiatives to financial outcomes
  • Experience scaling AI solutions across complex organizations
  • Understanding of AI governance, model risk, and regulatory considerations
  • Executive-level communication and stakeholder management skills
  • Ability to operate at both strategic and execution levels
  • Enterprise level experience including managing and successfully delivering cross functional initiatives.
  • Experience in leading projects and multi-tasking with diverse groups and locations.
  • Demonstrable experience in implementing strategic plans and managing programs.
  • Exceptional and proven leadership capabilities – communication, influence & negotiation, conflict resolution, people management, relationship management (internal/external), and team building.
  • Proven ability to successfully partner with internal clients and vendors to align strategy with deliverables, identify business challenges and develop alternatives to mitigate.
  • Strong service management and service delivery orientation.
  • Excellent written, oral, and interpersonal communication skills.
  • Ability to present ideas in at appropriate levels for different audiences.
  • Proven ability to work within a changing environment and lead the implementation of change.
  • Ability to apply change management principles to initiatives of variable sizes and degrees of complexities.
  • Ability to assess the impact or potential impact of change management initiatives of various sizes and degrees of complexities on business financial and performance.
  • Advanced level of creativity, strategic thinking and problem management skills.
  • Ability to conduct and direct research into information security issues.
  • Self-motivated, self-directed, attentive to detail, and able to multi-task.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.

  • Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience).
  • Master's Degree preferred. 

Equal Opportunity

City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.

Interview Guidelines

To ensure a fair interview process, the use of AI wearables, AT tools, AI applications, or other external assistance is strickly prohibited. 

Accommodations

If you require a reasonable accommodation to apply or participate in the hiring process, please contact our Talent Attraction team at talent.attraction@citynational.com