Data Science & Analysis - AI Training - Las Vegas, US

prolificacademicltd; Stati Uniti; Remoto; USD 91.000 - 129.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

Flexible hours

Descrizione del lavoro

Prolific Academic Ltd seeks data science and analytics experts to work on paid tasks that train and assess AI models. After a short skills assessment, you may be invited to review model responses and provide feedback on how systems reason through data problems.

Responsibilities include verifying statistical claims, running Python or R scripts, and describing model strengths and weaknesses in analysis and statistical reasoning. Remote, flexible hours.

Competenze

• Degree in a quantitative field with strong analytics background.
• Experience in data analysis, predictive modeling, or ML engineering.
• Ability to interpret complex visualizations independently.
• Attention to detail and detection of flawed statistical reasoning.
• Familiarity with large language models in data workflows.

Mansioni

• Assess AI-generated analyses for accuracy and completeness.
• Verify statistical claims and formulas against references.
• Run Python or R scripts to check results and edge cases.
• Describe model strengths and weaknesses in analysis and reasoning.
• Ensure responses follow task guidelines and technical standards.

Conoscenze

Data analysis

Predictive modeling

Machine learning

Statistical reasoning

Visualization interpretation

Attention to detail

LLM workflows

Communication of findings

Formazione

Bachelor’s degree in data science

Master’s degree in data science/statistics/math

Doctoral degree in quantitative field

Strumenti

Python

Pandas

NumPy

scikit-learn

SQL

Tableau/Power BI

Matplotlib/Seaborn

PyTorch/TensorFlow

Descrizione del lavoro

Role overview

Apply data science or analytics expertise to paid tasks that train and assess AI models. After a short skills assessment, successful applicants may be invited to review model responses, check technical work, and provide feedback on how systems reason through data problems.

Responsibilities

• Assess AI-generated analyses and data insights for accuracy, clarity, and completeness.
• Verify statistical claims, formulas, and mathematical reasoning against reliable references.
• Run data scripts in Python or R to check results and edge cases.
• Describe model strengths and weaknesses in analysis, prediction, and statistical reasoning.
• Check that responses follow task guidelines and maintain appropriate technical standards.

Requirements

• Bachelor’s, master’s, or doctoral degree in data science, statistics, mathematics, or a closely related quantitative discipline.
• Practical experience in data analysis, predictive modeling, or machine learning engineering.
• Strong statistical problem‑solving skills and the ability to interpret complex visualizations independently.
• Careful attention to detail, including spotting flawed logic in statistical arguments or interpretations.
• Substantial experience using large language models in data workflows, with an understanding of their common errors.
• Clear communication of mathematical ideas and data findings; a PayPal account is needed to receive payment.

Nice to have

• Proficiency in Python with tools such as Pandas, NumPy, or scikit‑learn, or in R; advanced SQL; data visualization with Tableau, Power BI, Matplotlib, or Seaborn; and familiarity with machine learning frameworks such as PyTorch or TensorFlow.

Benefits and work setup

Tasks are paid, with rates advertised by researchers of up to $80 per hour; actual rates may vary. Work is flexible and remote, though some tasks require one uninterrupted hour and many are shorter.

Applicants first complete a 10–15‑minute skills assessment.