Opens LinkedIn
- Employment type
- Part-time
- Experience level
- Entry, Junior · 1+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Associate
- Application method
- Direct apply is available
Job summary
Evaluate AI-generated outputs in data science, statistics, machine learning, and quantitative reasoning, identifying methodological flaws and analytical weaknesses. Develop challenging prompts, datasets, and reference solutions, and provide structured feedback to improve AI model performance.
Job details
Data Scientist Position: Data Scientist Type: Contractor Compensation: $150–$200/hour Location: Remote About the Opportunity We are seeking Data Scientists and Quantitative Professionals with experience at leading organizations to support an AI research project. You’ll evaluate AI model performance across statistics, machine learning, experimentation, and quantitative reasoning to help improve model accuracy and analytical capabilities. Key Responsibilities Evaluate AI-generated outputs involving data science, statistics, machine learning, and quantitative problems. Create challenging prompts, datasets, and reference solutions. Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning. Assess data analysis, experimentation approaches, and data modeling techniques. Provide structured, actionable feedback to improve AI model performance. Required Qualifications At least 1 year of experience at a leading company in technology, finance, research, or a related field, with some experience within the past 3 years. Strong understanding of Python, statistics, machine learning, and data analysis. Experience with Pandas, data modeling, and experimentation. Strong analytical and quantitative reasoning skills. Ability to communicate technical and statistical concepts clearly in writing. Based in an English-speaking country. Preferred Qualifications Experience evaluating statistical models, machine learning outputs, or quantitative methods. Strong knowledge of experimental design, data interpretation, and methodological validation. Ability to develop rigorous datasets and reference solutions for complex analytical problems. Compensation $150–$200/hour. Independent contractor engagement. Fully remote work. Approximately 100 openings available. Application Process Submit your application with relevant data science or quantitative experience. Complete any required screening or technical evaluation. Demonstrate your statistical reasoning and analytical skills. Begin evaluating AI outputs and developing data science tasks if selected.
What you’ll do
Evaluate AI-generated outputs in data science, statistics, machine learning, and quantitative reasoning, identifying methodological flaws and analytical weaknesses. Develop challenging prompts, datasets, and reference solutions, and provide structured feedback to improve AI model performance.
Requirements
Applicants need at least one year of experience at a leading organization in technology, finance, research, or a related field, including some experience within the past three years. They should have strong Python, statistics, machine learning, data analysis, Pandas, data modeling, experimentation, quantitative reasoning, and written communication skills, and be based in an English-speaking country.
Listed skills
- Python · Preferred
- Machine learning · Preferred
- Data analysis · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- Statistics
- Machine Learning
- Data Analysis
- Pandas
- Data Modeling
- Experimentation
- Quantitative Reasoning
- Experimental Design
- Statistical Model Evaluation
- Data Interpretation
- Methodological Validation
- Technical Writing
Job areas
- Data & Analytics
- Technology
- Science & Research
- Software
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