AI Tutor – Data Science Specialist
Role Description
Mercor is partnering with a leading AI research group to engage data science professionals in a high-impact, full-time project focused on training and refining next-generation AI systems.
As an AI Tutor – Data Science Specialist , you will play a key role in advancing the performance and reasoning capabilities of cutting-edge AI models by providing precise inputs, annotations, and high-quality labeled data using proprietary software.
You will collaborate closely with technical teams to develop and train new AI tasks, refine annotation tools, and select challenging data science problems where your expertise can meaningfully improve model accuracy and insight. This role requires adaptability, analytical rigor, and a proactive approach to solving complex technical challenges in a fast-paced environment.
Key Responsibilities
- Use proprietary software to label, annotate, and evaluate AI-generated outputs related to data science and quantitative modeling.
- Deliver high-quality curated datasets that strengthen model understanding and reasoning.
- Collaborate with technical teams to train, test, and refine data-driven AI systems.
- Provide input on the design and improvement of annotation tools to ensure efficient workflows.
- Interpret, analyze, and execute evolving task instructions with precision and critical thinking.
- Contribute to advancing innovative research initiatives by applying deep domain knowledge.
Qualifications
- Master’s degree or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related field; or a medal in the International Mathematical Olympiad (IMO) or a comparable global competition.
- Proficiency in both informal and professional English communication.
- Strong ability to navigate academic databases, research materials, and online resources.
- Excellent communication, organizational, and analytical skills.
- Ability to work independently and apply sound judgment with limited guidance.
- Passion for technological innovation and AI advancement.
Preferred Qualifications
- At least one publication in a reputable journal or recognized research outlet.
- Prior experience as an AI Tutor or in a related training and data annotation role.
- Teaching or academic experience (professor, instructor, or tutor).
- Experience in technical writing, journalism, or professional communication.
- Professional background as a Data Scientist or researcher in quantitative domains.
More About the Opportunity
- Location: Palo Alto, CA (in-office, 5 days/week) or fully remote.
- Schedule: 9:00am–5:30pm PST for the first two weeks; then aligned with your local timezone.
- Requirements: Chromebook, Mac (macOS 11+), or Windows 10+ device; reliable smartphone access required.
- U.S. applicants: Must reside outside of Wyoming and Illinois .
- Visa sponsorship: Not available.
Compensation & Contract Terms
- $45–100/hour , depending on experience, expertise, and location.
- International pay rates available upon request.
- Hourly pay is part of a broader rewards package; benefits vary by country.
Application Process
- Submit your resume or CV to begin the process.
- Complete a brief screening interview .
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If selected, proceed to:
- A technical deep-dive on your data science and annotation experience.
- A take-home challenge focused on applied data labeling or model evaluation.
- A team meet-and-greet with project collaborators.
- The full interview process is designed to conclude within one week .