Senior Data Science Expert (Remote | $245–$280/hr)
Role Overview
Support an AI project focused on improving model handling of statistics, machine learning, experimentation, and quantitative reasoning.
The role evaluates AI outputs, creates expert-level data science tasks, and provides feedback to improve model performance.
Key Skills for This Role
Full Job Posting
Opportunity
Support an AI project focused on improving model handling of statistics, machine learning, experimentation, and quantitative reasoning.
The role evaluates AI outputs, creates expert-level data science tasks, and provides feedback to improve model performance.
Key responsibilities
- Evaluate AI model outputs across data science, statistics, machine learning, and quantitative problems.
- Create expert-level prompts, datasets, and reference solutions.
- Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
- Provide structured feedback to improve AI model capabilities.
- Apply analytical judgment when reviewing complex technical solutions.
Required qualifications
- At least 1 year of experience at a top company in technology, finance, research, or a related field.
- Relevant experience within the past 7 years.
- Strong knowledge of Python, machine learning, statistics, data analysis, experimentation, pandas, and data modeling.
- Ability to evaluate quantitative reasoning and statistical methodology.
- Excellent written communication skills for explaining technical and statistical concepts.
- Must be based in an English-speaking country.
Preferred qualifications
- Experience evaluating or reviewing complex data science or quantitative work.
- Ability to identify subtle methodological and statistical issues.
- Experience developing structured technical solutions, datasets, or analytical workflows.
Engagement and compensation
- Independent contractor engagement.
- Compensation is $245–$280 per hour.
- 100 positions are available.
Location
- The description states that the work is remote.
Application process
- Applicants submit relevant experience, complete any required screening or evaluation, and complete project onboarding and workflow-guidelines training if selected.
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