Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from SaidGig
Join a cutting-edge GenAI team at a leading AI lab, where your expertise will play a crucial role in the development of advanced Large Language Models. This position offers the opportunity to be at the forefront of the AI revolution, contributing to the training of models that reason rigorously across quantitative and analytical domains.
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.
Core Qualifications
- 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.
Work Terms
This is a W-2 employment position with Cincinnatus LLC, requiring a commitment of 40 hours per week during weekdays.
Compensation
The hourly compensation for this role ranges from $70 to $100.
Eligibility
This position is open to candidates who meet the specified qualifications and can commit to the required hours.
Source: SaidGig careers