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Data Curation Ai Machine Learning Jobs in Miami, FL

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

Machine Learning Tutor

Miramar, FL ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Doral, FL ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Cooper City, FL ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Coral Gables, FL ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Sunrise, FL ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Hialeah, FL ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Miami, FL ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 21-40

Data Curation Ai Machine Learning information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do data curation ai machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data curation ai machine learning in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Miami, FL?

For Data Curation Ai Machine Learning jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Miami, FL look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Miami, FL are:

What cities near Miami, FL are hiring for Data Curation Ai Machine Learning jobs?

Cities near Miami, FL with the most Data Curation Ai Machine Learning job openings:

Infographic showing various Data Curation Ai Machine Learning job openings in Miami, FL as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Contract. Highlights an 65% In-person, 9% Hybrid, and 26% Remote job distribution, with an average salary of $124,066 per year, or $59.6 per hour.

AI Solutions Engineer

Sound Income Group LLC

Fort Lauderdale, FL โ€ข On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

About this position

Description:

POSITION: AI Solutions Engineer

Location & Hours: Onsite | M-F 8:30-5:00pm

FLSA Classification: Exempt

Who We Are

At Sound Income Group, our mission is to help independent financial professionals and their clients thrive, especially those approaching or in retirement. We provide a full suite of resources across financial education, investment strategies, marketing, and practice management to support long-term success.

Position Summary

The AI Solutions Engineer will lead the development and implementation of artificial intelligence, machine learning, and automation solutions across Sound Income Group. As a new add-to-staff position, this individual will have significant ownership in evaluating current processes, identifying opportunities to improve efficiency and cost effectiveness, and building solutions that deliver measurable business results.

This role requires a handsโ€‘on, highly autonomous engineer with broad expertise across machine learning, generative AI, data engineering, and businessโ€‘process automation. The AI Solutions Engineer will partner with leaders across Marketing, Business Development, Recruiting, Sales, Coaching, Advisor Support, and Operations to understand departmental needs and determine which processes can be enhanced through AI and which require continued human oversight.

Key Responsibilities
  • Evaluate workflows, systems, and data across departments to identify opportunities for AI, machine learning, and automation.
  • Develop and maintain a prioritized AI roadmap based on business impact, feasibility, efficiency, cost-effectiveness, and risk.
  • Design, build, test, deploy, and maintain production-ready AI and machineโ€‘learning solutions.
  • Develop departmentโ€‘specific AI assistants, agents, and automation tools that improve productivity and support business needs.
  • Build solutions supporting lead generation, lead qualification, lead routing, recruiting, marketing, business development, and backโ€‘office operations.
  • Create and maintain reliable data pipelines and integrations across internal systems, databases, APIs, and thirdโ€‘party platforms.
  • Partner with department leaders and subjectโ€‘matter experts to understand business challenges and translate them into practical technical solutions.
  • Determine whether each business need is best addressed through generative AI, machine learning, rulesโ€‘based automation, thirdโ€‘party technology, or a humanโ€‘led process.
  • Develop prototypes, gather user feedback, and convert validated concepts into secure, scalable, and maintainable solutions.
  • Establish benchmarks and reporting to measure solution accuracy, adoption, efficiency, cost savings, lead conversion, and overall business impact.
  • Implement appropriate security, privacy, permissions, humanโ€‘review controls, and governance standards for AI solutions.
  • Evaluate AI platforms, vendors, models, and emerging technologies and make recommendations regarding scalability, security, business fit, and cost.
  • Document technical requirements, architecture, data flows, procedures, and ongoing maintenance needs.
  • Educate employees and leaders on AI capabilities, limitations, responsible use, and adoption best practices.
  • Operate with a high degree of independence and take ownership of projects from initial discovery through implementation and ongoing optimization.
Requirements Must-Have Qualifications

Background and Education:

  • Bachelorโ€™s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field; equivalent experience may be considered.
  • Minimum of four years of experience across AI engineering, machine learning, and data engineering.
  • Proven experience owning AI or machineโ€‘learning solutions from discovery and development through production deployment and optimization.
  • Strong proficiency in Python, SQL, data pipelines, APIs, and system integrations.
  • Ability to translate complex business needs into practical solutions and operate independently with minimal instruction.

Preferred Experience:

  • Experience with Databricks, Snowflake, cloud infrastructure, and MLOps or LLMOps.
  • Experience building generative AI applications, AI agents, workflow automations, RAG solutions, or internal assistants.
  • Knowledge of AI security, privacy, governance, permissions, and humanโ€‘review controls.
  • Experience supporting enterpriseโ€‘wide AI initiatives, evaluating vendors, and making buildโ€‘versusโ€‘buy recommendations.
  • Experience in financial services, wealth management, fintech, or another regulated industry is preferred.
Physical & Work Environment Requirements
  • Ability to work for extended periods at a desk using a computer.
  • Ability to lift up to 10 pounds if/when necessary.
  • Routine use of telephone and email.
  • Officeโ€‘based role with potential travel to conferences, events, and satellite offices as needed.
Benefits

Weโ€™re proud to offer a comprehensive benefits package that supports your professional and personal wellโ€‘being, including:

  • 100% employerโ€‘covered medical benefits and HRA account
  • Dental & vision plans
  • PTO + 10 NYSE company holidays per year
  • 401K with company match program
  • Free onsite parking
  • Companyโ€‘provided laptop and required technology
  • Access to an onโ€‘site gym (free of charge)
  • Weekly carwash (at an additional cost)

Sound Income Group is an E-Verify employer.

Sound Income Group is an equal opportunity employer that complies with all applicable federal, state, and local laws, rules and regulations. It is our policy to employ and promote qualified candidates without discrimination on the basis of race, color, sex, age, origin, sexual orientation, marital status, disability or any other characteristic protected by law. Our hiring decisions are based solely on merit, qualifications and business needs.

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