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Freelance Data Engineering Jobs in Miami, FL (NOW HIRING)

Freelance Insights Manager

Miami, FL · On-site

$300 - $400/day

From designing mouth-watering data visualizations, keeping our clients up-to-date with the latest ... engineering social listening exercises into cultural trends, our actionable insights are at the ...

Freelance Insights Manager

Miami, FL · On-site

$300 - $400/day

From designing mouth-watering data visualizations, keeping our clients up-to-date with the latest ... engineering social listening exercises into cultural trends, our actionable insights are at the ...

Director, Integrated Media

Miami, FL · On-site

$85 - $120/hr

Manage production workflows for Marlins-related shoulder programming, feature content, special ... Lead and manage broadcast department personnel, including full-time staff, freelance crew members ...

Head of Growth Marketing

Miami, FL · On-site

$160 - $210/hr

Manage relationships with freelance writers, designers, or agencies as needed. Duties ... M data integrity, ensuring a clean handoff of qualified leads to sales. * Own the marketing ...

Growth Marketing Manager (AI Enabled)

FL · On-site +1

$105K - $125K/yr

... Manage relationships with freelance writers, designers, or agencies as needed. Duties ... data integrity, ensuring a clean handoff of qualified leads to sales. • Deploy and manage AI ...

Manage relationships with freelance writers, designers, or agencies as needed. Duties ... M data integrity, ensuring a clean handoff of qualified leads to sales. * Own the marketing ...

Manage relationships with freelance writers, designers, or agencies as needed. Duties ... M data integrity, ensuring a clean handoff of qualified leads to sales. * Own the marketing ...

Well, we design, engineer, and manufacture unique mobile solutions that enable some of the most ... Experience working with agencies, freelancers, and cross-functional teams to deliver marketing ...

Freelance Data Engineering information

See Miami, FL salary details

$14

$45

$126

How much do freelance data engineering jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for freelance data engineering in Miami, FL is $45.63, according to ZipRecruiter salary data. Most workers in this role earn between $23.22 and $59.09 per hour, depending on experience, location, and employer.

What is freelance data engineering?

A Freelance Data Engineering job involves designing, building, and maintaining data infrastructure on a contract basis. Freelancers work with businesses to develop ETL pipelines, optimize databases, and manage big data technologies. They often use tools like SQL, Python, Apache Spark, and cloud platforms such as AWS, Google Cloud, or Azure. This role requires strong problem-solving skills and the ability to work independently on data-related projects.

What are the key skills and qualifications needed to thrive as a freelance data engineer?

To excel as a Freelance Data Engineer, you need strong programming skills (Python, SQL), experience with data architecture, ETL processes, and a solid understanding of cloud platforms such as AWS or Azure. Familiarity with tools like Apache Spark, Hadoop, Airflow, and relevant certifications such as Google Cloud Professional Data Engineer or AWS Certified Data Analytics are highly valued. Exceptional communication, project management skills, and the ability to work independently are crucial soft skills in this freelance capacity. These competencies ensure you can efficiently deliver robust data solutions, manage client expectations, and adapt swiftly to diverse project needs.

What are some common challenges faced by freelance data engineers, and how can they be addressed?

Freelance data engineers often face challenges such as managing multiple clients with varying needs, keeping up-to-date with rapidly evolving technologies, and ensuring clear communication despite remote arrangements. To address these challenges, it's important to set clear project expectations from the start, maintain a consistent schedule for learning and skill development, and utilize collaboration tools for effective communication. Building a strong portfolio and leveraging professional networking can also yield steady work opportunities and referrals. Proactively addressing these areas helps freelance data engineers remain competitive and successful in the industry.

What are the most commonly searched types of Data Engineering jobs in Miami, FL?

The most popular types of Data Engineering jobs in Miami, FL are:

What are popular job titles related to Freelance Data Engineering jobs in Miami, FL?

For Freelance Data Engineering jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Freelance Data Engineering jobs in Miami, FL look for?

The top searched job categories for Freelance Data Engineering jobs in Miami, FL are:

What cities near Miami, FL are hiring for Freelance Data Engineering jobs?

Cities near Miami, FL with the most Freelance Data Engineering job openings:

Infographic showing various Freelance Data Engineering 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $94,908 per year, or $45.6 per hour.

$83 - $138/hr

Other

Posted 3 days ago

New


Job description

About The Role

What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and solve problems? We're looking for Data Scientists with advanced degrees to challenge, audit, and improve cutting‑edge AI models — exposing their blind spots and building ground‑truth solutions that make them smarter.

This is a fully remote, flexible contract role. No prior AI industry experience needed — just deep domain knowledge and a rigorous, analytical mind.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design Advanced Challenges: Craft complex, domain‑specific data science problems spanning hyperparameter optimization, Bayesian inference, cross‑validation strategies, dimensionality reduction, and more — problems that push AI models to their limits
  • Author Ground‑Truth Solutions: Develop rigorous, step‑by‑step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI responses
  • Audit AI‑Generated Code: Critically evaluate AI outputs — including code written with Scikit‑Learn, PyTorch, TensorFlow, and similar libraries — for technical correctness, efficiency, and best practices
  • Refine AI Reasoning: Identify and document failure modes in AI reasoning — data leakage, overfitting, improper handling of imbalanced datasets, flawed statistical conclusions — and provide structured feedback that directly improves model intelligence
  • Work Independently: Complete task‑based assignments asynchronously, fully on your own schedule
Who You Are
  • Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis
  • Deeply knowledgeable in core data science domains: supervised and unsupervised learning, deep learning, statistical inference, or big data technologies (Spark, Hadoop)
  • Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
  • Naturally detail‑oriented — you catch errors in code syntax, mathematical notation, and statistical logic that others miss
  • Self‑motivated and consistent when working independently
  • No prior AI or annotation experience required
Nice to Have
  • Experience with data annotation, data quality assurance, or model evaluation workflows
  • Familiarity with production‑level data science practices — MLOps, CI/CD pipelines for models, or experiment tracking
  • Background in NLP, computer vision, or other specialized machine learning domains
  • Prior work in academic research, technical writing, or peer review
Why Join Us
  • Work directly with industry‑leading AI models and cutting‑edge research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high‑impact technical work
  • Make a tangible contribution to how AI understands and applies data science at scale
  • Potential for ongoing contract renewals as new projects launch
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