Data Science Expert - AI Content Specialist
Alignerr, Seattle, WA, United States
Data Science Expert - AI Content Specialist
About the Role
What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the next generation of AI reasons through complex problems? We're looking for Data Science Experts to challenge, audit, and improve cutting-edge AI models - working remotely on your own schedule alongside leading AI research labs.
This is a high-impact contract role where your expertise becomes the benchmark. You'll design the problems, write the gold-standard solutions, and identify exactly where AI thinking breaks down.
Organization
: Alignerr
Type
: Hourly Contract
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do Design Advanced Challenges
- Craft rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
Author Gold-Standard Solutions
- Develop step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers
Audit AI-Generated Code
- Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices
Refine AI Reasoning
- Identify logical flaws such as data leakage, overfitting, and improper handling of imbalanced datasets, then provide structured feedback to improve model reasoning
Document Failure Modes
- Stress-test AI on topics like statistical inference, neural network architectures, and data engineering pipelines, capturing where and how model reasoning breaks down
Who You Are Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong data analysis focus
Deep foundational knowledge in areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing
Exceptionally detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions
Self-directed and comfortable working independently and asynchronously
No prior AI or annotation experience required
Nice to Have Prior experience with data annotation, data quality, or AI evaluation systems
Familiarity with production-level data science workflows such as MLOps or CI/CD for models
Experience writing technical documentation or educational content for technical audiences
Why Join Us Work directly with industry-leading large language models and cutting-edge AI research
Fully remote and flexible - work when and where it suits you
Freelance autonomy with meaningful, intellectually stimulating task-based work
Contribute to AI development that has a real impact on how AI understands and applies data science
Potential for ongoing work and contract extension as new projects launch
About the Role
What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the next generation of AI reasons through complex problems? We're looking for Data Science Experts to challenge, audit, and improve cutting-edge AI models - working remotely on your own schedule alongside leading AI research labs.
This is a high-impact contract role where your expertise becomes the benchmark. You'll design the problems, write the gold-standard solutions, and identify exactly where AI thinking breaks down.
Organization
: Alignerr
Type
: Hourly Contract
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do Design Advanced Challenges
- Craft rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
Author Gold-Standard Solutions
- Develop step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers
Audit AI-Generated Code
- Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices
Refine AI Reasoning
- Identify logical flaws such as data leakage, overfitting, and improper handling of imbalanced datasets, then provide structured feedback to improve model reasoning
Document Failure Modes
- Stress-test AI on topics like statistical inference, neural network architectures, and data engineering pipelines, capturing where and how model reasoning breaks down
Who You Are Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong data analysis focus
Deep foundational knowledge in areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing
Exceptionally detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions
Self-directed and comfortable working independently and asynchronously
No prior AI or annotation experience required
Nice to Have Prior experience with data annotation, data quality, or AI evaluation systems
Familiarity with production-level data science workflows such as MLOps or CI/CD for models
Experience writing technical documentation or educational content for technical audiences
Why Join Us Work directly with industry-leading large language models and cutting-edge AI research
Fully remote and flexible - work when and where it suits you
Freelance autonomy with meaningful, intellectually stimulating task-based work
Contribute to AI development that has a real impact on how AI understands and applies data science
Potential for ongoing work and contract extension as new projects launch