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About the role

STEM PhD Expert Location: Remote (U.S. / UK / Canada / Europe) Engagement Type: Hourly Contract Compensation: $70–$75/hour About the Opportunity This opportunity is for STEM PhD experts interested in contributing to advanced AI research and evaluation projects involving state-of-the-art large language models (LLMs). The role involves applying deep subject matter expertise to develop challenging, domain-specific problems and create high-quality data that helps improve the reasoning, accuracy, and problem-solving capabilities of next-generation AI systems. Required Qualifications PhD in a STEM discipline from a university in the United States, United Kingdom, Canada, or Europe. Expertise in a relevant field, including: Mathematics Biology Chemistry Physics Computer Science Statistics Economics Or a closely related STEM discipline Deep subject matter expertise with the ability to develop complex, research-level problems within your domain. Strong analytical and critical-thinking skills. Exceptional attention to detail and commitment to technical accuracy. Excellent written and verbal communication skills. Excellent proficiency in English. Ability to work independently in a remote environment. Responsibilities Develop challenging, domain-specific problems based on your area of expertise. Create high-quality reference solutions and explanations. Review and evaluate AI-generated responses for accuracy, reasoning, and technical quality. Identify errors and opportunities to improve AI-generated outputs. Apply advanced subject matter expertise to help improve the reasoning capabilities of large language models. Contribute high-quality data to support the development and evaluation of next-generation AI systems. Compensation Competitive compensation of $70–$75/hour. Weekly payments. Independent contractor engagement. Application Process Upload Resume Complete a 20–30 Minute AI Interview Based on Your Resume and Expertise Submit Application

About Synthires

Staffing and Recruiting
11-50 employees
Founded in 2026

Connecting top talent with AI labs and enterprises working on frontier AI model development.

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