Data Science & Analysis - AI Training - Dallas, US

prolificacademicltd; United States; Remote; USD 91,000 - 129,000; Full time

Benefits offered by this job

Flexible assignments

Remote work

PayPal payments

Job summary

PROLIFIC ACADEMIC LTD is seeking data-savvy evaluators to contribute to AI model assessment by judging statistics, validating analyses, and verifying results with code. Tasks vary from short sessions to longer, uninterrupted hours and are performed remotely.

You will run Python or R to check outputs, annotate performance, and ensure compliance with instructions and professional standards. Strong background in data science, statistics, and ML is expected; compensation is hourly and paid via

Qualifications

• Bachelor's degree or higher in data science, statistics, mathematics or related quantitative field.
• Hands-on experience in data analysis, predictive modeling or ML engineering.
• Independent command of complex statistics and high-level data visualization interpretation.
• Careful analytical judgment and ability to detect subtle reasoning errors.
• Extensive experience incorporating large language models into data workflows and recognizing failures.
• Strong communication skills and a PayPal account to receive payment.

Responsibilities

• Judge AI-produced statistical analyses and data insights for accuracy and completeness.
• Validate formulas, mathematical reasoning, and data-based conclusions using trusted sources.
• Run Python or R code to check outputs and ensure edge cases are handled correctly.
• Annotate model performance on data interpretation and predictive modeling tasks.
• Ensure model responses adhere to specified instructions and professional expectations.

Skills

Data analysis

Predictive modeling

Machine learning

Statistics

Data visualization

Python/R

Python (pandas/NumPy)

Education

Bachelor's degree or higher

Tools

Python

R

SQL

Tableau

Power BI

PyTorch

TensorFlow

Job description

Role overview

Contribute data science or analytics expertise to the evaluation and training of AI models through paid assignments. The work focuses on judging the quality of model responses to data problems, checking technical claims, and validating analysis with code. A brief assessment is used to gauge task suitability, and assignments may range from shorter activities to sessions requiring an uninterrupted hour.

Responsibilities

• Judge AI-produced statistical analyses and data insights for accuracy and completeness.
• Validate formulas, mathematical reasoning, and data-based conclusions using trusted sources.
• Run Python or R code to check outputs and ensure edge cases are handled correctly.
• Annotate model performance on data interpretation and predictive modeling tasks.
• Ensure model responses adhere to specified instructions and professional expectations.

Requirements

• Degree at bachelor's level or above in data science, statistics, mathematics, or a related quantitative discipline.
• Hands-on work experience in data analysis, predictive modeling, or machine learning engineering.
• Independent command of complex statistics and high-level data visualization interpretation.
• Careful analytical judgment and ability to detect subtle reasoning errors.
• Extensive experience incorporating large language models into data workflows, including recognizing when they fail.
• Strong, concise communication skills and a PayPal account to receive payment.

Nice to have

• Proficiency in Python (including pandas, NumPy, or scikit-learn) or R; advanced SQL; data visualization with Tableau, Power BI, Matplotlib, or Seaborn; and familiarity with PyTorch, TensorFlow, or comparable modeling tools.

Benefits and work setup

Assignments are flexible and remote. Some tasks call for one hour of uninterrupted work, although many are shorter. Compensation varies by assignment; the source states that some researchers may offer rates up to $80 per hour.