Job Category: Subject Matter Expertise

Turing invites Business Consulting Experts to join projects that fine-tune AI models. If you enjoy solving ambiguous business problems, analyzing complex situations, and providing clear, structured feedback, this is your chance to put your expertise to work in a new way. Your experience in consulting, strategy, or operations will help shape how the next generation of AI understands and reasons about business decisions. Main tasks listed: Review and evaluate AI-generated responses to business, strategy, and operational scenarios; Apply a structured rubric to assess problem framing, assumptions, reasoning, analysis, and practicality of recommendations; Identify gaps, edge cases, and blind spots in strategic and operational thinking; Provide detailed annotations and written feedback to refine AI models.

The Business Analyst works on a Computer-Using Agent (CUA) evaluation project designed to assess and improve how AI systems understand instructions, analyze information, reason through problems, and complete tasks in digital environments. The role involves reviewing AI-generated responses and actions, validating information through online research, assessing accuracy and task completion, identifying errors or gaps, and providing detailed annotations, ratings, and explanations Main tasks listed: Analyze, summarize, and structure complex written content clearly and accurately; Conduct online research to verify claims, sources, and supporting evidence; Solve analytical, logical reasoning, data interpretation, arithmetic, and puzzle-based questions; Create scenarios and questions to evaluate and improve large language model performance.

The Business Analyst works on a Computer-Using Agent (CUA) evaluation project designed to assess and improve how AI systems understand instructions, analyze information, reason through problems, and complete tasks in digital environments. The role involves reviewing AI-generated responses and actions, validating information through online research, assessing accuracy and task completion, identifying errors or gaps, and providing detailed annotations, ratings, and explanations Main tasks listed: Analyze, summarize, and structure complex written content clearly and accurately; Conduct online research to verify claims, sources, and supporting evidence; Solve analytical, logical reasoning, data interpretation, arithmetic, and puzzle-based questions; Create scenarios and questions to evaluate and improve large language model performance.

You will be the sole Product Manager embedded in a cross-functional engineering team building a cloud-agnostic, multi-tenant platform for deploying, certifying, and distributing AI agents at enterprise scale. This is a greenfield platform engineering programme running across three phases over approximately 12 months, delivered for a government-aligned client. Backlog & Prioritisation Define and maintain the product backlog across all three phases.

We are seeking Life Sciences Subject Matter Experts to design advanced scientific-reasoning tasks for LifeSciBench. This is a non-coding role focused on biological knowledge, experimental interpretation, data analysis, and rigorous scientific reasoning. You will create challenging, objectively defensible problems based on realistic research scenarios, experimental results, biological data, figures, sequences, structures, and literature-style evidence. Main tasks listed: Design novel, graduate-level life sciences problems grounded in realistic research contexts; Develop clear questions and rigorous reference answers with defensible scientific reasoning; Interpret experiments, datasets, figures, sequences, structures, and other biological evidence; Validate biological claims, calculations, assumptions, and conclusions.

Turing invites Legal Experts to join projects that fine-tune AI models. If you enjoy applying legal reasoning, analyzing complex cases, and providing clear, structured feedback, this is your chance to put your expertise to work in a new way. Your background in U.S. law is exactly what’s needed to shape how the next generation of AI understands and reasons about legal systems. Main tasks listed: Review and evaluate AI-generated responses to U.S. legal hypotheticals across multiple areas of law; Apply a structured legal rubric to assess issue spotting, accuracy, reasoning, and application of law; Identify gaps, edge cases, and blind spots in legal reasoning, helping define benchmarks for legal AI performance; Provide detailed, high-quality annotations and written feedback to refine AI models.

We are seeking Subject Matter Experts (SMEs) with expertise in psychology, social work, counseling, qualitative research, HCI, communication, conflict resolution, coaching, or related advisory fields to support AI conversation evaluation research. SMEs will review conversations between participants and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. Main tasks listed: Review AI conversations involving real-world interpersonal and everyday decision-making scenarios; Identify missing context and recommend relevant follow-up questions; Evaluate whether additional information would have changed the AI’s recommendations; Distinguish between critical (“load-bearing”) and non-essential information.

We are seeking Subject Matter Experts (SMEs) with expertise in psychology, social work, counseling, qualitative research, HCI, communication, conflict resolution, coaching, or related advisory fields to support AI conversation evaluation research. SMEs will review conversations between participants and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. Main tasks listed: Review AI conversations involving real-world interpersonal and everyday decision-making scenarios; Identify missing context and recommend relevant follow-up questions; Evaluate whether additional information would have changed the AI’s recommendations; Distinguish between critical (“load-bearing”) and non-essential information.

Evaluate and compare the quality of responses from multiple AI chatbots across real-world small business use cases. Main tasks listed: Create realistic business-related prompts based on defined user goals; Interact with multiple AI chatbots (max. 5 turns per conversation); Assess response quality across clarity, usefulness, and accuracy; Provide structured feedback and comparative evaluations.

We are seeking a highly qualified Sports Domain Expert to evaluate and improve Large Language Models (LLMs). You will design challenging prompts, assess factual accuracy and reasoning, and identify knowledge gaps within global sports, leagues, athletes, tournaments, rules, statistics, analytics. Main tasks listed: Create advanced prompts covering global sports, leagues, athletes, tournaments, rules, statistics, analytics; Evaluate AI-generated responses for factual accuracy, reasoning quality, completeness, and nuance; Identify hallucinations, logical inconsistencies, outdated information, and edge cases; Develop benchmark datasets and adversarial test cases.