Remote Data Scientist for AI Training & Evaluation

Prolific Academic Ltd; United States; À distance; USD 91 000 - 129 000; Plein temps

Avantages offerts par ce poste

PayPal payments

Flexible hours

Work from home

Résumé du poste

Prolific is seeking Data Scientists and Data Analysts to join its Expert Network for training and evaluating AI models with real technical expertise. After a quick skills test, you may join Prolific as a participant and get paid to train and evaluate models from home.

Pay is up to $80 per hour, with tasks that require about one uninterrupted hour. A BS/MS/PhD in quantitative fields and strong data skills are expected, along with experience in Python/R, SQL, and ML frameworks.

Qualifications

• BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field.
• Real-world experience in data analysis, predictive modeling, or machine learning engineering.
• Ability to solve complex statistical problems and interpret high-level data visualizations.
• Significant experience using LLMs to assist with data workflows.

Responsabilités

• Evaluate LLM responses for accuracy, clarity, and completeness.
• Fact-check technical claims using authoritative references.
• Validate code outputs from Python/R scripts and handle edge cases.
• Annotate model performance to identify strengths and weaknesses.
• Ensure model responses align with system guidelines and professional standards.

Connaissances

Data analysis

Predictive modeling

Machine learning

LLM fluency

Statistical reasoning

Communication

Formation

BS/MS/PhD in Data Science/Statistics/Mathematics

Outils

Python (Pandas/NumPy/Scikit-learn)

R

SQL

ML frameworks (PyTorch/TensorFlow)

Description du poste

Prolific is seeking Data Scientists and Data Analysts to join its Expert Network for training and evaluating AI models with real technical expertise. After a quick skills test, you may join Prolific as a participant and get paid to train and evaluate models from home.

Pay is up to $80 per hour, with tasks that require about one uninterrupted hour. A BS/MS/PhD in quantitative fields and strong data skills are expected, along with experience in Python/R, SQL, and ML frameworks.