Mercor
Enterprise Data Science Specialist - AI Trainer
Skills
3 months ago
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Important information
Contract type:
Part time
Location:
Chicago, IL, USA
Work mode:
Remote
Published on:
15 August 2026
What they need
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Data Science and Analytics Experts
Type: Contract Compensation: $60–$70/hour Location: Remote Role Responsibilities
- Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts.
- Build analytics tasks across machine learning model development, enterprise data pipelines, and business intelligence at scale.
- Develop data and MLOps scenarios using tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms such as SageMaker, Vertex AI, and MLflow.
- Apply enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and MLOps best practices to produce reference analyses and executive-level insights.
- Author rubrics that distinguish authentic enterprise data science judgment from generic textbook recall.
Qualifications Must-Have
- 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
- Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
- Fluency in enterprise data science tooling and methodologies, with an understanding of F500 data governance and privacy compliance.
Preferred
- Prior rubric, technical curriculum, or model documentation authorship.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor
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