Data Scientist (Remote | $150–$200/hr)

Job summary

Evaluate AI-generated outputs and analytical methods across data science, statistics, machine learning, and quantitative problems. Develop challenging prompts, datasets, and reference solutions, then provide structured feedback to improve 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 and analytical methods across data science, statistics, machine learning, and quantitative problems. Develop challenging prompts, datasets, and reference solutions, then provide structured feedback to improve model performance.

Requirements

Requires at least one year of recent experience at a leading organization in technology, finance, research, or a related field, along with strong Python, statistics, machine learning, and data analysis knowledge. Candidates should have experience with Pandas, data modeling, and experimentation, strong quantitative reasoning, clear technical writing skills, and be based in an English-speaking country.

Listed skills

• Data analysis · Preferred
• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Statistics
• Machine Learning
• Data Analysis
• Pandas
• Data Modeling
• Experimentation
• Experimental Design
• Quantitative Reasoning
• Statistical Model Evaluation
• Data Interpretation
• Methodological Validation
• Technical Writing

Job areas

• Data & Analytics
• Technology
• Science & Research

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