Data Science & Analysis - AI Training - Boston, US
Prolific · Boston, MA
- Hybrid
- Temporary
- $80,000 / year
- Boston, MA
Job highlights
- Train and evaluate AI models with technical expertise.
- Get paid up to $80 per hour for tasks.
- Requires advanced quantitative education and experience.
- Evaluate LLM responses and fact-check technical claims.
- Flexible work from home with competitive pay.
About the role
Data Scientist AI Training at Prolific
Prolific is seeking highly skilled Data Scientists and Data Analysts to join their Expert Network. This role involves training and evaluating cutting-edge AI models by leveraging your technical expertise. Successful candidates will be invited to participate in paid tasks, contributing to the development of advanced AI systems.
About Prolific
Prolific is a leading platform providing the world's largest pool of quality human data for AI development. Over 35,000 AI developers, researchers, and organizations utilize Prolific to gather data from a diverse group of paid study participants.
The Role
As a Data Scientist or Data Analyst in the Expert Network, you will:
- Train and evaluate advanced AI models.
- Participate in paid tasks requiring approximately 10-15 minutes of focused work.
- Receive competitive pay, with researchers often paying up to $80 per hour.
What You'll Bring
- Education: BS, MS, or PhD in Data Science, Statistics, Mathematics, or a related quantitative field.
- Professional Experience: Proven experience in data analysis, predictive modeling, or machine learning engineering.
- Technical Rigor: Ability to independently solve complex statistical problems and interpret data visualizations.
- Analytical Mindset: Strong attention to detail and the capacity to identify logical fallacies in data interpretation.
- LLM Fluency: Substantial experience using LLMs for data workflows, with an understanding of their limitations (hallucinations, failures).
- Communication: Skill in clearly explaining complex mathematical concepts and data insights.
- A PayPal account for receiving payments.
What You'll Be Doing
- Evaluate LLM-generated data insights for accuracy and completeness.
- Fact-check technical claims using authoritative references.
- Validate code and outputs from data-related scripts (Python/R).
- Annotate model performance, identifying strengths and weaknesses.
- Ensure model responses adhere to system guidelines and professional standards.
Key Technologies
- Programming: Python (Pandas, NumPy, Scikit-learn) or R.
- Data Querying: Advanced SQL.
- Visualization: Tableau, PowerBI, Matplotlib/Seaborn.
- Modeling: Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling.
Why Prolific is a Great Platform
Join Prolific as a participant to influence future AI models with your professional expertise. After a quick assessment, you can join in 15 minutes and enjoy competitive pay, flexible hours, and remote work. Prolific connects researchers with a global pool of participants for high-quality, ethical data collection, driving more accurate and aligned AI systems. Prolific is at the forefront of AI innovation, integrating diverse human perspectives for the next generation of AI.
Key skills/competency
- Data Science
- Data Analysis
- AI Training
- LLM Evaluation
- Machine Learning
- Python
- R
- SQL
- Statistical Modeling
- Data Visualization
Skills & topics
- Data Scientist
- Data Analyst
- AI Training
- Machine Learning
- LLM Evaluation
- Python
- R
- SQL
- Statistical Modeling
- Quantitative Analysis
- Artificial Intelligence
- Data Visualization
- Predictive Modeling
- Boston
How to get hired
- Tailor your resume: Highlight your BS/MS/PhD in a quantitative field, data analysis, predictive modeling, or ML engineering experience, and LLM fluency.
- Ace the skills test: Prepare for the 10-15 minute assessment by reviewing statistical problem-solving, data interpretation, and Python/R scripting.
- Showcase technical rigor: Emphasize your ability to handle complex statistical problems and interpret data visualizations independently.
- Demonstrate analytical mindset: Provide examples of your attention to detail and ability to spot logical fallacies in data.
- Prepare for evaluation tasks: Be ready to discuss your experience in reviewing AI-generated insights and fact-checking technical claims.
Technical preparation
Master Python (Pandas, NumPy) or R for data tasks.,Practice advanced SQL for complex data extraction.,Review LLM capabilities and common failure points.,Prepare to validate technical claims and code outputs.
Behavioral questions
Describe a complex statistical problem you solved.,How do you ensure accuracy in data analysis?,Explain a subtle logical fallacy you identified.,How do you verify AI-generated technical claims?
Frequently asked questions
- What is the typical time commitment for a Data Scientist AI Training role at Prolific?
- Tasks typically require about 10 to 15 minutes of uninterrupted work, though many are shorter. This allows for flexibility in managing your time while contributing to AI model training and evaluation.
- How much can I earn as a Data Scientist AI Training participant on Prolific?
- Researchers on Prolific often pay up to $80 per hour for participants with the necessary technical expertise. Payment is made via PayPal.
- What specific qualifications are needed for the Data Scientist AI Training role at Prolific?
- A BS, MS, or PhD in a quantitative field like Data Science, Statistics, or Mathematics is required, along with real-world experience in data analysis, predictive modeling, or machine learning engineering, and significant experience using LLMs.
- What kind of AI models will I be training and evaluating?
- You will be training and evaluating cutting-edge AI models, specifically focusing on their ability to generate accurate data insights, perform statistical analysis, and handle technical claims and code validation.
- Do I need to know specific programming languages for the Data Scientist AI Training role?
- Proficiency in Python (Pandas, NumPy, Scikit-learn) or R is required, along with advanced SQL for data querying. Experience with ML frameworks like PyTorch or TensorFlow is also beneficial.
- Is the Data Scientist AI Training role at Prolific remote?
- Yes, the role offers the flexibility to work from home. Once you pass the assessment, you can join Prolific and start working on tasks remotely.
- What is the purpose of the 10-15 minute test mentioned for this role?
- The short test assesses your skills and suitability for AI tasks, ensuring you have the necessary data science, analytical, and LLM expertise required for training and evaluating AI models.