Data Science & Analysis - AI Training - Indianapolis, US

prolificacademicltd; Stati Uniti; Remoto; USD 55.000 - 110.000; Tempo pieno

Descrizione del lavoro

prolificacademicltd seeks data science and analytics experts to take on paid assignments evaluating AI models. You review technical answers, check code and quantitative claims, and provide structured feedback on performance. A short skills assessment precedes invitations to participate.

The role is listed for Indianapolis, US. Responsibilities include judging accuracy of AI-generated analyses, validating statistical claims, running data scripts, and describing model strengths and weaknesses.

Competenze

• Bachelor’s, Master’s or PhD in a quantitative field.
• Experience in data analysis, predictive modelling or ML engineering.
• Ability to interpret complex statistical questions and visualisations.
• Strong attention to detail and ability to detect faulty interpretations.
• Experience applying LLMs to data workflows.
• Clear communication of mathematical ideas; PayPal account required for payment.

Mansioni

• Judge the accuracy, completeness, and clarity of AI-generated statistical analysis and data insights.
• Validate mathematical and statistical claims using dependable references.
• Execute data scripts to check outputs and identify problems with edge cases.
• Describe model strengths and weaknesses when handling analytical or predictive tasks.
• Confirm that model responses meet the directions and professional standards set for each assignment.

Conoscenze

Data analysis

Predictive modelling / ML engineering

Statistical reasoning

Attention to detail

Communication of data findings

LLM data workflows

Formazione

Bachelor/Master/PhD in data science / statistics / mathematics or related field

Strumenti

Python (Pandas, NumPy, scikit-learn)

R

SQL

Tableau/Power BI/Matplotlib/Seaborn

PyTorch / TensorFlow

Descrizione del lavoro

Role overview

Take on paid assignments that use data science or analytics expertise to train and evaluate AI models. The work centres on reviewing technical answers, checking code and quantitative claims, and giving structured feedback on model performance. A short skills assessment precedes any invitation to participate. The opportunity is listed for Indianapolis, US.

Responsibilities

• Judge the accuracy, completeness, and clarity of AI-generated statistical analysis and data insights.
• Validate mathematical and statistical claims using dependable references.
• Execute data scripts to check outputs and identify problems with edge cases.
• Describe model strengths and weaknesses when handling analytical or predictive tasks.
• Confirm that model responses meet the directions and professional standards set for each assignment.

Requirements

• A bachelor’s, master’s, or PhD in data science, statistics, mathematics, or another closely related quantitative field.
• Practical professional background in data analysis, predictive modelling, or machine learning engineering.
• Ability to work through complex statistical questions and interpret high-level visualisations without assistance.
• High attention to detail and an ability to detect misleading reasoning or faulty interpretations.
• Considerable experience applying large language models to data workflows, including awareness of common errors and hallucinations.
• Clear communication of mathematical ideas and data findings; a PayPal account is required for payment.

Nice to have

• Experience with Python tools such as Pandas, NumPy, and scikit-learn, or R; advanced SQL; and visualisation software such as Tableau, Power BI, Matplotlib, or Seaborn.
• Familiarity with statistical modelling and machine learning libraries such as PyTorch or TensorFlow.

Benefits and work setup

• Flexible remote task work is described. Assignments are paid individually and may require up to an uninterrupted hour, though some are shorter. The source cites rates up to $80 per hour, depending on available work. Selection includes a 10–15-minute skills test.