Domain Expert Reviewer – Sci & Tech at Turing

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• Identify factual inaccuracies, logical inconsistencies, hallucinations, outdated information, and low-quality annotations.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