Alignerr
Data Science Expert - AI Content Specialist
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Data Science Expert – AI Content Specialist
About The Role
What if your data science knowledge could directly shape the intelligence of tomorrow’s AI systems? We're looking for Data Science Experts to stress-test, evaluate, and improve advanced AI models—exposing gaps in their reasoning and helping build more accurate, reliable machine learning capabilities.
This is a fully remote, flexible contract role built for experienced data scientists and quantitative researchers who want meaningful, intellectually stimulating work on their own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You’ll Do
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Design advanced challenges by crafting complex, domain-rich data science problems spanning:
- Hyperparameter optimization
- Bayesian inference
- Cross-validation strategies
- Dimensionality reduction
- More—specifically engineered to probe the limits of AI reasoning
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Author ground-truth solutions, including:
- Rigorous, step-by-step reference solutions
- Python/R scripts
- SQL queries
- Mathematical derivations as the definitive standard for model evaluation
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Audit AI-generated code across libraries like:
- Scikit-Learn
- PyTorch
- TensorFlow
- Evaluating technical accuracy, efficiency, and correctness of:
- Data visualisations
- Statistical summaries
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Refine AI reasoning by identifying and addressing subtle logical failures, e.g.:
- Data leakage
- Overfitting
- Improper handling of imbalanced datasets
- Providing structured, actionable feedback to improve model reasoning
Who You Are
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Educational qualification:
- Holds or is pursuing a Master’s or PhD in:
- Data Science
- Statistics
- Computer Science
- Or a quantitative discipline with a strong data focus
- Holds or is pursuing a Master’s or PhD in:
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Core expertise:
- Deep knowledge across:
- Supervised/unsupervised learning
- Deep learning
- NLP
- Big data technologies (e.g. Spark, Hadoop)
- Deep knowledge across:
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Communication & precision:
- Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
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Attention to detail: stringently focused on:
- Code syntax
- Mathematical notation
- Statistical validity
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No prior AI or annotation experience required
Nice to Have
- Experience with:
- Data annotation
- Quality evaluation
- Labeling systems
- Familiarity with:
- Production-level data science workflows (MLOps, CI/CD for models)
- Experiment tracking
- Background in:
- Academic research
- Technical writing
Why Join Us
- Work directly with industry-leading AI language models at the frontier of research
- Fully remote & asynchronous—work when and where you perform best
- Freelance flexibility with consistent, substantive task-based work
- Contribute to AI development that has a real and lasting impact on how models reason about data science
- Potential for ongoing work and contract extension as new projects launch
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