Data Scientist (Masters)
Alignerr • Remote • Posted 8 days ago
Education
Any
Type
Pay Rate
$60/task
Posted
8d ago
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Role Overview
As a Data Scientist (Masters), you will solve complex coding challenges to create "Golden Data" for training advanced code-generation models. You will likely engage in "red-teaming" (adversarial testing) to find logic gaps in AI code, write unit tests for generated snippets, and provide expert-level refactoring. This is pure technical work—no meetings, just deep-dive problem solving in languages like Python and C++.
Requirements
- Advanced Degree: Masters (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis.
- Domain Expertise: Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
- Analytical Writing: The ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form.
- Attention to Detail: High level of precision when checking code syntax, mathematical notation, and the validity of statistical conclusions.
- No AI experience required
- Prior experience with data annotation, data quality, or evaluation systems
Compensation Analysis
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. You’ll challenge advanced language models on topics like machine learning theory, statistical inference, neural network architectures, and data engineering pipelines—documenting every failure mode so we can harden model reasoning.
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