[Hiring] Data Scientist @Mercor

Role Description

Guide research and engineering teams to close knowledge gaps in data science, AI, and machine learning domains. Surface nuances that distinguish expert-level work from surface-level reasoning.

• Design challenging data science and AI tasks rooted in real-world statistical modeling, ML pipelines, data engineering, and software workflows.
• Write accurate, well-documented solutions that serve as ground truth.
• Evaluate AI agent outputs and data science solutions.
• Provide detailed written feedback that captures correctness, efficiency, and reasoning quality.
• Develop and refine evaluation frameworks and rubrics for assessing statistical reasoning, ML pipeline design, agentic behavior, and data analysis approaches.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

• 3+ years of professional or research experience in data science, machine learning, data engineering, AI systems, or software engineering.
• Demonstrated technical expertise in at least one of: statistical modeling, ML modeling, data analysis, programming, LLMs, or agentic workflows.
• Demonstrable career progression.
• Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
• Strong written communication skills and the ability to explain analytical and technical decisions clearly.

Requirements

• 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.

Benefits

• W-2 employment with Cincinnatus LLC.
• Paid weekly.

Application Process

• Upload resume.
• AI interview based on your resume.
• Submit form.

Resources & Support

• For details about the interview process and platform information, please check: Interview Process .
• For any help or support, reach out to: [email protected] .