Domain Expert – Science & Technology

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 Identify hallucinations, logical inconsistencies, outdated information, and edge cases in model outputs.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.