Job Description

Join a cutting-edge GenAI team at a leading AI lab, where your expertise will be pivotal in developing advanced Large Language Models. This role offers the opportunity to be at the forefront of the AI revolution, contributing to the evolution of generative AI through hands-on data science excellence. Key Responsibilities

• Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices.
• Design challenging data science tasks and write accurate, well-structured analytical solutions.
• Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
• Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

• 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.
• Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
• Prior experience with data annotation, labeling, evaluation, or human feedback collection is a strong plus.
• Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks is a plus.
• Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly.

This is a W-2 employment position with Cincinnatus LLC, requiring a commitment of 40 hours per week during weekdays.

The hourly compensation for this role ranges from $70 to $100.

This position will be placed at a leading AI Lab as part of their extended workforce.

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