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Freelance Machine Learning Data Annotation Jobs in Florida

... machine learning, statistical inference, and data engineering could directly shape how the world ... Experience with data annotation, data quality assurance, or model evaluation workflows

Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related ... discipline. Direct relevant military experience will also be considered. Minimum of 3 years related ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

ENSCO is seeking a motivated and skilled Data Scientist/Engineer to join our Machine Learning Data ... annotation workflows for sensor datasets Ability to obtain and maintain a US Security Clearance ...

Sr. Machine Learning Engineer

Cocoa Beach, FL · On-site

$88.40K - $121.40K/yr

Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related ... discipline. Direct relevant military experience will also be considered. Minimum of 5 years related ...

Machine Learning Engineer

Cocoa Beach, FL · On-site

$72.82K - $131.33K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... Work closely with other senior scientist to understand problem sets, physical data feature sets and ...

Machine Learning Engineer

Cocoa Beach, FL · On-site

$72.82K - $131.33K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and ... Work closely with other senior scientist to understand problem sets, physical data feature sets and ...

... annotation, data quality assurance, or evaluation systems * Familiarity with AI or machine learning ... Freelance autonomy with the structure of meaningful, high-impact work * Apply your domain expertise ...

Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline. Direct relevant military experience will also be considered. * Minimum of 5 years related ...

Junior Machine Learning Engineer

Cocoa Beach, FL · On-site

$64.52K - $106.62K/yr

Work closely with other senior scientist to understand problem sets, physical data feature sets and ... Qualifications Required: • Bachelors degree in Machine Learning, Data Science, Mathematics, or ...

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Freelance Machine Learning Data Annotation information

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

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

What cities in Florida are hiring for Freelance Machine Learning Data Annotation jobs? Cities in Florida with the most Freelance Machine Learning Data Annotation job openings:

Data Scientist (Masters)

Alignerr

Miami, FL • Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Scientist (Masters) - AI Data Trainer
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