Domain Expert Reviewer – Sci & Tech
Job at a glance
Domain Expert Reviewer – Science & Technology | Contractor | 40 hrs/week | Worldwide Remote Turing is looking for a highly qualified Science & Technology Domain Reviewer to support quality assurance for Large Language Model (LLM) evaluation projects. This is an 8-week contractor engagement requiring 40 hours per week with at least 4 hours of PST overlap. Your deep domain expertise will directly shape the reliability and accuracy of AI training data across a wide range of scientific and technological 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 customers accelerate frontier research with high-quality data, advanced training pipelines, and top AI researchers — and helps enterprises transform AI from proof of concept into measurable, lasting business impact.
Key Responsibilities Review and validate domain-specific prompts covering physics, chemistry, biology, engineering, artificial intelligence, computer science, and emerging technologies. Evaluate completed tasks for 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 Identify factual inaccuracies, logical inconsistencies, hallucinations, outdated information, and low-quality annotations.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 guidelines. Escalate ambiguous or technically complex cases and document review findings as needed. Collaborate with project managers and AI teams to continuously improve evaluation quality and review processes.
Minimum Qualifications Master's degree or higher in Physics, Chemistry, Biology, Engineering, Computer Science, Information Technology, Artificial Intelligence, or a closely related Science & Technology discipline. Minimum 3 years of professional, research, teaching, or industry experience in a relevant science or technology field. Prior experience reviewing, evaluating, editing, or quality-checking technical or domain-specific content is preferred.
Excellent written English communication and strong analytical skills. Sharp attention to detail with the ability to identify factual, logical, and technical errors. Preferred Qualifications Experience 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 deliver objective, evidence-based feedback while maintaining consistent quality standards. Comfortable working independently in a fast-paced, quality-focused environment. Engagement Details Hours: 40 hours per week with at least 4 hours PST overlap Employment Type: Contractor assignment (no medical/paid leave benefits) Duration: 8 weeks