CONTRACTORRemoteExpired

Data Scientist

micro1 is partnering with a leading AI lab to engage experienced data scientists and quantitative professionals to improve how advanced AI models handle statistics, machine learning, experimentation, data analysis, and quantitative reasoning. Contributors will evaluate model outputs, create expert-level prompts and datasets, develop reference solutions, identify methodological and statistical errors, and provide structured feedback to improve model capabilities.

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Salary

USD245 - USD280 / hour

Department

Data Science & AI Evaluation

Experience

1+ year at a top technology, finance, or research company preferred

Responsibilities

Evaluate AI model outputs on data science, statistics, machine learning, and quantitative problems.
Assess the accuracy and quality of statistical and quantitative reasoning produced by AI systems.
Create expert-level prompts designed to test advanced data science and quantitative capabilities.
Develop high-quality datasets and reference solutions for AI model evaluation.
Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
Evaluate experimentation approaches and data-analysis methodologies for technical correctness.
Provide structured expert feedback that helps improve AI model capabilities.
Apply professional data science judgment to establish a high quality bar for quantitative AI outputs.

Skills

PythonMachine LearningStatisticsData AnalysisExperimentationPandasData ModelingData ScienceQuantitative AnalysisStatistical AnalysisAI EvaluationModel EvaluationDataset CreationPrompt CreationReference Solution DevelopmentQuantitative ReasoningStatistical MethodologyTechnical Communication

Requirements

Strong expertise in data science, statistics, machine learning, or quantitative analysis.
Proficiency with Python for data science and quantitative workflows.
Strong understanding of statistical methods, experimentation, and data analysis.
Experience working with data modeling and analytical tools such as Pandas.
Ability to identify methodological flaws, statistical errors, and weak quantitative reasoning.
Ability to create expert-level prompts, datasets, and reference solutions.
Clear written communication of technical and statistical concepts.
At least one year of experience at a top technology, finance, or research company is preferred, with at least part of that experience within the past seven years.
Undergraduate degree from a top-ranked university is preferred.
Being based in an English-speaking country is preferred.

Benefits

Fully remote contractor opportunity.
$245–$280 per hour compensation.
Opportunity to contribute to projects with a leading AI lab.
Apply professional data science and quantitative expertise to frontier AI evaluation.
Contribute directly to improving AI capabilities in statistics, machine learning, experimentation, and quantitative reasoning.
Opportunity to create expert-level datasets, prompts, and reference solutions for advanced AI systems.

Data Scientist

Responsibilities

Evaluate AI model outputs on data science, statistics, machine learning, and quantitative problems.

Assess the accuracy and quality of statistical and quantitative reasoning produced by AI systems.

Create expert-level prompts designed to test advanced data science and quantitative capabilities.

Develop high-quality datasets and reference solutions for AI model evaluation.

Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.

Evaluate experimentation approaches and data-analysis methodologies for technical correctness.

Provide structured expert feedback that helps improve AI model capabilities.

Apply professional data science judgment to establish a high quality bar for quantitative AI outputs.

Requirements

Strong expertise in data science, statistics, machine learning, or quantitative analysis.

Proficiency with Python for data science and quantitative workflows.

Strong understanding of statistical methods, experimentation, and data analysis.

Experience working with data modeling and analytical tools such as Pandas.

Ability to identify methodological flaws, statistical errors, and weak quantitative reasoning.

Ability to create expert-level prompts, datasets, and reference solutions.

Clear written communication of technical and statistical concepts.

At least one year of experience at a top technology, finance, or research company is preferred, with at least part of that experience within the past seven years.

Undergraduate degree from a top-ranked university is preferred.

Being based in an English-speaking country is preferred.

Benefits

Fully remote contractor opportunity.

$245–$280 per hour compensation.

Opportunity to contribute to projects with a leading AI lab.

Apply professional data science and quantitative expertise to frontier AI evaluation.

Contribute directly to improving AI capabilities in statistics, machine learning, experimentation, and quantitative reasoning.

Opportunity to create expert-level datasets, prompts, and reference solutions for advanced AI systems.