Domain Expert – Science & Technology at Turing

Domain Expert – Science & Technology | Contractor | 8-Week Engagement | Worldwide Remote

Turing is seeking a highly qualified Science & Technology Domain Expert to help evaluate and improve Large Language Models (LLMs). This is a focused 8-week contractor role requiring 40 hours per week, with at least 4 hours of overlap with Pacific Standard Time (PST). You'll work alongside AI researchers to enhance model accuracy, reasoning, and reliability across a broad range of scientific and technical disciplines.

About Turing

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing helps accelerate frontier research through high-quality data, advanced training pipelines, and top-tier AI expertise — and applies that knowledge to help enterprises turn AI proof-of-concepts into measurable, lasting business impact.

Key Responsibilities

• Design advanced, challenging prompts spanning physics, chemistry, biology, engineering, AI, computer science, and emerging technologies.
• Evaluate AI-generated responses for factual accuracy, reasoning quality, completeness, and nuance.
• Identify hallucinations, logical inconsistencies, outdated information, and edge cases in model outputs.
• Develop benchmark datasets and adversarial test cases to stress-test model capabilities.
• Provide evidence-based feedback supported by reliable, authoritative references.
• Collaborate closely with AI researchers to drive improvements in model performance.
• Maintain high standards of annotation quality and thorough documentation throughout the engagement.

Minimum Qualifications

• Master's degree or higher in a Science & Technology-related discipline.
• 3+ years of professional, research, or teaching experience in a relevant field.
• Excellent written English communication and strong analytical skills.
• High attention to detail and commitment to accuracy.

Preferred Qualifications

• Hands-on experience with LLMs, Generative AI, prompt engineering, or AI evaluation workflows.
• Published research, industry recognition, or formal teaching experience is a strong plus.
• Ability to work independently and deliver objective, evidence-backed assessments.

Engagement Details

• Hours: 40 hours per week, with at least 4 hours PST overlap required.
• Employment Type: Contractor assignment (no medical benefits or paid leave).
• Duration: 8 weeks.