Data Scientist (Masters)
Dallas, TX · Remote
... covering hyperparameter optimization, Bayesian inference, cross-validation strategies ... Freelance autonomy with meaningful, intellectually stimulating work * Direct, hands-on engagement ...
Data Scientist (Masters)
Dallas, TX · Remote
... covering hyperparameter optimization, Bayesian inference, cross-validation strategies ... Freelance autonomy with meaningful, intellectually stimulating work * Direct, hands-on engagement ...
Data Scientist (Masters)
Miami, FL · Remote
Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian ... Freelance autonomy with the structure of meaningful, high-impact technical work * Make a tangible ...
Data Scientist (Masters)
Miami, FL · Remote
Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian ... Freelance autonomy with the structure of meaningful, high-impact technical work * Make a tangible ...
Data Scientist (Masters)
Chicago, IL · Remote
... spanning hyperparameter optimization, Bayesian inference, cross-validation strategies ... Freelance autonomy with meaningful, intellectually engaging work * High-impact contributions: your ...
Data Scientist (Masters)
Chicago, IL · Remote
... spanning hyperparameter optimization, Bayesian inference, cross-validation strategies ... Freelance autonomy with meaningful, intellectually engaging work * High-impact contributions: your ...
... spanning hyperparameter optimization, Bayesian inference, cross-validation strategies ... Freelance autonomy with consistently meaningful, intellectually stimulating work * Ongoing contract ...
... spanning hyperparameter optimization, Bayesian inference, cross-validation strategies ... Freelance autonomy with consistently meaningful, intellectually stimulating work * Ongoing contract ...
... spanning hyperparameter optimization, Bayesian inference, cross-validation strategies ... Freelance autonomy with consistent, meaningful technical work * Engage with intellectually ...
... spanning hyperparameter optimization, Bayesian inference, cross-validation strategies ... Freelance autonomy with consistent, meaningful technical work * Engage with intellectually ...
... Bayesian inference, cross-validation strategies, dimensionality reduction, and more -- problems ... Freelance autonomy with the structure of meaningful, technically rigorous work * Make a direct ...
... Bayesian inference, cross-validation strategies, dimensionality reduction, and more -- problems ... Freelance autonomy with the structure of meaningful, technically rigorous work * Make a direct ...
... covering hyperparameter optimization, Bayesian inference, cross-validation strategies ... Freelance autonomy with the structure of meaningful, high-skill task-based work * Contribute to AI ...
... covering hyperparameter optimization, Bayesian inference, cross-validation strategies ... Freelance autonomy with the structure of meaningful, high-skill task-based work * Contribute to AI ...
Freelance Bayesian information
See salary details
$23.52 is the 25th percentile. Wages below this are outliers.
$14.90 - $25.57
31% of jobs
The median wage is $32.14 / hr.
$25.57 - $36.23
31% of jobs
$36.23 - $46.90
4% of jobs
$56.23 is the 75th percentile. Wages above this are outliers.
$46.90 - $57.56
10% of jobs
$57.56 - $68.23
9% of jobs
$68.23 - $78.89
5% of jobs
$78.89 - $89.55
0% of jobs
$89.55 - $100.22
8% of jobs
$100.22 - $110.88
0% of jobs
$110.88 - $121.55
0% of jobs
$121.55 - $132.21
1% of jobs
$14
$47
$132
How much do freelance bayesian jobs pay per hour?
As of May 28, 2026, the average hourly pay for freelance bayesian in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Freelance Bayesian, and why are they important?
To thrive as a Freelance Bayesian, you need a strong background in statistics, probability theory, and Bayesian inference, typically supported by a degree in mathematics, statistics, or a related field. Familiarity with programming languages like Python or R, and experience with tools such as Stan, PyMC, or JAGS, are commonly required. Excellent problem-solving skills, clear communication, and the ability to explain complex concepts to non-experts set top freelancers apart. These skills and qualities ensure accurate modeling, effective client collaboration, and actionable insights for data-driven decision-making.
What are some common challenges faced by Freelance Bayesians when working with clients from diverse industries?
Freelance Bayesians often encounter the challenge of translating complex statistical concepts into actionable insights for clients who may not have a strong background in data science. Additionally, adapting Bayesian models to fit unique industry needs or varying data quality requires flexibility and strong communication skills. Freelancers must also manage project timelines independently and ensure clear expectations around deliverables, as clients' familiarity with probabilistic modeling can vary widely.
What does a Freelance Bayesian do?
A Freelance Bayesian is a professional who applies Bayesian statistical methods to solve problems for clients on a project or contract basis. They use Bayesian inference, which incorporates prior knowledge with new data, to make predictions, analyze uncertainty, and update probabilities in fields such as data science, machine learning, and research. Freelance Bayesians may work on projects like A/B testing, predictive modeling, or helping organizations interpret data using Bayesian approaches. Their work often requires expertise in statistics, programming languages like Python or R, and the ability to communicate complex findings to non-technical stakeholders.
What is the difference between Freelance Bayesian vs Data Scientist?
| Aspect | Freelance Bayesian | Data Scientist |
|---|---|---|
| Credentials | Statistical or Bayesian modeling certifications, relevant degrees | Degree in Data Science, Statistics, or related fields |
| Work Environment | Independent, project-based, remote or client sites | Corporate, research labs, or consulting firms |
| Industry Usage | Consulting, research, specialized analytics | Business analytics, AI, machine learning |
| Search/Comparison Intent | Freelance Bayesian vs Data Scientist |
Freelance Bayesians focus on applying Bayesian statistical methods independently, often on specific projects, while Data Scientists typically work within organizations to analyze data, build models, and derive insights. Both roles require strong statistical skills, but Freelance Bayesians emphasize independent consulting, whereas Data Scientists are embedded in teams.
What cities are hiring for Freelance Bayesian jobs? Cities with the most Freelance Bayesian job openings:
What are the most commonly searched types of Bayesian jobs? The most popular types of Bayesian jobs are:
What states have the most Freelance Bayesian jobs? States with the most job openings for Freelance Bayesian jobs include:
Other
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Job description
Data Scientist (Masters) - AI Data Trainer
About the Role
What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and problem-solve?
We're looking for data scientists with advanced degrees to work alongside leading AI research labs - designing expert-level challenges, authoring rigorous solutions, and auditing AI-generated code to make models smarter, more accurate, and more reliable.
This is a fully remote, flexible contract role. No prior AI industry experience required - just serious domain expertise and a sharp analytical mind.
About the Role
What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and problem-solve?
We're looking for data scientists with advanced degrees to work alongside leading AI research labs - designing expert-level challenges, authoring rigorous solutions, and auditing AI-generated code to make models smarter, more accurate, and more reliable.
This is a fully remote, flexible contract role. No prior AI industry experience required - just serious domain expertise and a sharp analytical mind.
- Organization
: Alignerr - Type
: Hourly Contract - Location
: Remote - Commitment
: 10-40 hours/week
- Design Advanced Challenges
- Create complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more - Author Ground-Truth Solutions
- Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the gold standard for AI training - Audit AI-Generated Code
- Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness - Refine AI Reasoning
- Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets and provide structured feedback to sharpen model thinking - Document Failure Modes
- Probe advanced language models on topics like neural network architectures and data engineering pipelines, capturing and reporting every reasoning gap
- Pursuing or holding a
Master's or PhD
in Data Science, Statistics, Computer Science, or a quantitative field with a strong data analysis focus - Strong foundational knowledge across
supervised/unsupervised learning, deep learning, big data technologies
(Spark/Hadoop), or NLP - Able to communicate highly technical algorithmic and statistical concepts clearly and concisely in writing
- Exceptionally detail-oriented when reviewing code syntax, mathematical notation, and the validity of statistical conclusions
- Self-directed and comfortable working independently on an async schedule
- No prior AI or data annotation experience required
- Experience with data annotation, data quality assurance, or AI evaluation systems
- Proficiency in production-level data science workflows - MLOps, CI/CD for models, or similar
- Familiarity with model evaluation frameworks or benchmarking methodologies
- Work directly on cutting-edge AI projects alongside world-leading research labs
- Fully remote and async - work when and where it suits you
- Freelance autonomy with meaningful, intellectually stimulating work
- Direct, hands-on engagement with industry-leading large language models
- Potential for ongoing contract renewals as new projects launch