This role is for one of our clients

Compensation: $70-$100 per hour

Join a leading AI lab at the forefront of generative AI innovation and help shape the next generation of Large Language Models. We are seeking experienced Data Science professionals with strong expertise in statistical analysis, machine learning, predictive modeling, and quantitative reasoning to contribute to the development of advanced AI systems.

In this role, you will apply your analytical expertise to create, evaluate, and refine high-quality training data that improves how AI models reason about data, statistics, and real-world analytical challenges. You will collaborate with researchers and engineers to ensure AI systems demonstrate rigorous quantitative thinking and sound data science practices.

This is a full-time engagement requiring 40 hours per week during standard weekdays.

Requirements

Key Responsibilities

Provide Data Science Expertise

• Advise research and engineering teams on statistical methodologies, experimental design, predictive modeling, and analytical best practices.
• Help improve AI model performance across data science, analytics, and machine learning domains.

Design Analytical Challenges

• Create complex, real-world data science tasks that test quantitative reasoning, statistical thinking, and machine learning knowledge.
• Develop accurate, well-structured solutions that reflect industry best practices.

Evaluate AI-Generated Outputs

• Review and assess analytical solutions generated by AI systems and subject matter experts.
• Identify errors, inconsistencies, flawed assumptions, and opportunities for improvement.
• Provide clear, actionable feedback to enhance model quality and reasoning capabilities.

Develop Evaluation Frameworks

• Build scoring rubrics and evaluation methodologies for:
• Statistical reasoning
• Predictive modeling
• Machine learning workflows
• Data interpretation
• Experimental design
• Business analytics and decision-making
• Ensure consistent quality standards across datasets and evaluation processes.

Collaborate Across Teams

• Work closely with AI researchers, engineers, and domain experts to maintain accuracy, consistency, and rigor in training data development.

Required Qualifications

• 3+ years of professional or research experience in:
• Data Science
• Statistical Analysis
• Machine Learning
• Predictive Analytics
• Applied Mathematics
• Quantitative Research
• Business Analytics
• Strong understanding of:
• Statistical inference
• Hypothesis testing
• Regression analysis
• Machine learning algorithms
• Data visualization
• Experimental design
• Experience working with structured and unstructured datasets.
• Ability to commit to 40 hours per week during standard business days.
• Excellent written communication skills with the ability to clearly explain analytical decisions and modeling approaches.

Preferred Qualifications

• Experience with AI systems, Large Language Models (LLMs), or agent-based workflows.
• Familiarity with model evaluation, reinforcement learning from human feedback (RLHF), data annotation, or human-in-the-loop systems.
• Proficiency in Python, SQL, R, or other analytical programming languages.
• Experience building and deploying machine learning solutions in production environments.
• Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Operations Research, or a related quantitative field.

Why Join

• Contribute directly to the development of state-of-the-art AI systems.
• Work alongside leading researchers and engineers in artificial intelligence.
• Help define how future AI models reason about data, statistics, and analytical decision-making.
• Apply your expertise to challenging, high-impact projects at the cutting edge of AI innovation.

Engagement Details

• Full-time commitment (40 hours per week).
• Weekday availability required.
• Opportunity to work on long-term AI research and evaluation initiatives.
• Project scope and responsibilities may evolve based on research priorities and business needs.