Expert Professionals — AI & Data Science Full-time NEW

Expert Professionals — AI & Data Science

$70-$100 per hour

Full-time position Remote Early applicant

Location Requirements: United States

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

Overview

A leading AI lab is advancing the frontier of agentic AI systems by building models that can reason through, execute, and evaluate complex technical tasks across domains like machine learning, data science, data engineering, and software development. We're seeking talented AI & Data Science subject-matter experts (SMEs) to bring deep technical expertise and elevate the quality of our AI training data.

This is a W-2 employment position with Cincinnatus LLC, requiring a commitment of 40 hours per week (during weekdays). This position will be placed at a leading AI Lab as part of their extended workforce.

Key Responsibilities

• Guide research and engineering teams to close knowledge gaps in AI and data science domains, surfacing the nuances that distinguish expert-level work from surface-level reasoning.
• Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows, and write accurate, well-documented solutions that serve as ground truth.
• Evaluate AI agent outputs against your solutions, providing detailed written feedback that captures correctness, efficiency, and reasoning quality.
• Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Core Qualifications

• 3+ years of research, academic, or industry experience in Machine Learning, or Data Science, or Software Engineering, or Computer Science, or Statistics, or Biology, or Electrical/Mechanical/Civil Engineering, or Physics, or Chemistry, or Mathematics, or Materials Science, or other STEM background.
• Demonstrated technical expertise in at least one of: programming, data analysis, ML modeling, statistical methods, or computational methods.
• 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 technical decisions clearly.

About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Earn up to $1,600 by referring

Share the referral link below, and earn up to $1,600 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more Don't know who to refer? Find relevant LinkedIn connections here. One Interview, Real Results AI experts share how Mercor made hiring faster, fairer, and easier — with just one interview.