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Commission Freelance Computer Science Jobs in Florida

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Commission Freelance Computer Science information

What is the difference between Commission Freelance Computer Science vs Contract Computer Scientist?

AspectCommission Freelance Computer ScienceContract Computer Scientist
CredentialsTypically requires a degree in Computer Science or related fieldUsually requires a degree and relevant experience or certifications
Work EnvironmentIndependent, remote or on-site freelance projectsTemporary employment with a company or agency, often remote or on-site
Employer & Industry UsageClients across various industries hiring freelancers for specific projectsOrganizations hiring for fixed-term projects or roles
Search & Comparison IntentLooking for freelance opportunities with commission-based paySeeking temporary contract roles in computer science

Commission Freelance Computer Science involves independent work on a project basis, often with pay based on commissions or project fees. Contract Computer Scientist roles are temporary employment positions with organizations, typically offering fixed-term contracts. Both require relevant credentials but differ mainly in employment structure and work setup.

What are the most commonly searched types of Freelance Computer Science jobs in Florida?

The most popular types of Freelance Computer Science jobs in Florida are:

What are popular job titles related to Commission Freelance Computer Science jobs in Florida?

For Commission Freelance Computer Science jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Commission Freelance Computer Science jobs in Florida look for?

The top searched job categories for Commission Freelance Computer Science jobs in Florida are:

What cities in Florida are hiring for Commission Freelance Computer Science jobs?

Cities in Florida with the most Commission Freelance Computer Science job openings:

Infographic showing various Commission Freelance Computer Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution.

$83 - $138/hr

Other

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


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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