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 supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applyingthat expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.Role; Overview:We are seeking a highly qualified Science & Technology Domain Reviewer to support the quality assurance of Large Language Model (LLM) evaluation projects. In this role, you will review domain-specific prompts, evaluate completed tasks for accuracy and quality, ensure adherence to project guidelines, and provide actionable feedback to maintain high annotation standards. Your expertise in science and technology will help ensure the reliability, consistency, and quality of AI evaluation data across a broad range of scientific and technological topics.Key ResponsibilitiesReview and validate domain-specific prompts covering physics, chemistry, biology, engineering, artificial intelligence, computer science, emerging technologies, and related fields.Evaluate completed tasks to ensure factual accuracy, reasoning quality, completeness, technical correctness, and compliance with project guidelines.Identify factual inaccuracies, logical inconsistencies, hallucinations, outdated information, and low-quality annotations.Ensure prompts are challenging, relevant, and aligned with project objectives.Provide clear, constructive,



and evidence-based feedback to contributors to improve task quality.Maintain consistency across reviews by following established quality standards and review guidelines.Escalate ambiguous or technically complex cases when necessary and document review findings.Collaborate with project managers and AI teams to continuously improve evaluation quality and review processes.Minimum QualificationsMaster's degree or higher in any field; degrees in Physics, Chemistry, Biology, Computer Science, Engineering, Information Technology, Artificial Intelligence, Data Science, or other science and technology-related disciplines are preferred.Strong knowledge of science and technology, including physics, chemistry, biology, engineering principles, artificial intelligence, computer science, emerging technologies, scientific research, and recent technological advancements.3+ years of relevant professional experience, preferably in scientific research, engineering, technology, software development, academia, technical writing, science journalism, data science, AI, or a related field.Excellent written English, research, and analytical skills.Solid attention to detail and ability to evaluate science and technology-related information accurately, identify factual inconsistencies, and assess reasoning across a broad range of scientific and technical topics.Preferred QualificationsExperience reviewing AI-generated content, LLM evaluations, prompt engineering, or annotation quality.Familiarity with quality assurance, editorial review, or technical content evaluation workflows.Strong understanding of scientific principles, technological advancements, and emerging technologies.Ability to provide objective, evidence-based feedback while maintaining consistent quality standards.Experience working independently in a fast-paced, quality-focused environment.Offer Details:Commitments Required: 40 hours per week with at least 4 hours PST overlapEmployment type : Contractor assignment (no medical/paid leave)Duration of contract : 8 weeks.Application ProcessComplete the assessment shared with you.Our team will evaluate your submission.Selected candidates will be contacted regarding the next steps.

📌 Domain Expert Reviewer- Science & Technology (India)
🏢 Turing
📍 India