Company: Turing

We are seeking Bioinformatics and Computational Genomics experts to design challenging, agentic genomics tasks and reference solutions for GeneBench Pro. You will create realistic computational biology problems that require an AI agent to interpret biological data, write and execute code, work across scientific files, and produce objectively verifiable outputs. Main tasks listed: • Design novel, challenging tasks in computational genomics and bioinformatics; • Design tasks that test higher-order scientific judgment, including handling ambiguous or messy data, identifying artifacts, selecting appropriate analytical approaches, revising assumptions based on intermediate results, and determining when conclusions are decision-ready; • Build tasks involving realistic scientific data such as FASTA/FASTQ, VCF, BAM/SAM, BED, TSV/CSV, sequence annotations, expression data, and germline or somatic variant data; • Develop tasks requiring multi-step analysis using Python, command-line tools, or established bioinformatics libraries.

We are seeking Engineering experts to contribute advanced technical expertise to data curation and evaluation for frontier AI models and labs. This senior reviewer role focuses on reviewing complex engineering problems, developing evaluation frameworks, and advising client teams assessing AI-generated technical outputs.

We are hiring US-based academic dermatologists to contribute senior clinical expertise to data curation for frontier AI models and labs. The work supports a longitudinal dermatology dataset used by AI developers, regulatory teams, and academic groups. This is the senior reviewer track of the project. You will lead clinical review on complex cases, contribute to the development of clinical evaluation frameworks, and serve as expert advisor for client teams reviewing AI model outputs. Main tasks listed: Lead senior-level clinical review on complex or ambiguous cases; Facilitate structured resolution of clinical disagreement among reviewers; Contribute to the development of clinical evaluation frameworks; Provide expert advisory hours to client teams reviewing AI model outputs. The listing says the work can involve sensitive or graphic content.

We are seeking Chemistry experts to contribute advanced scientific expertise to task design, data curation, and evaluation for frontier AI models and labs. This role focuses on developing rigorous chemistry tasks, reviewing complex scientific outputs, and advising client teams assessing AI-generated solutions.

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 Physical Sciences experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. You will translate authentic physics, chemistry, materials science, astronomy, and computational science workflows into reproducible benchmark environments.

We are seeking Mathematics experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. You will design tasks involving numerical analysis, optimization, statistics, mathematical modeling, probability, dynamical systems, and computational mathematics. The role focuses on evaluating whether AI agents can formulate mathematical problems, implement reliable algorithms, operate in a terminal environment, debug numerical workflows, and produce verifiable computational results. Main tasks listed: Design and build authentic computational mathematics tasks — translate mathematical and research workflows into self-contained, multi-step terminal environments, complete with datasets, equations, model definitions, constraints, and expected outputs; Implement expert solutions using Python, R, Julia, C/C++, Bash, or other relevant tools, covering areas such as optimization, numerical integration, differential equations, matrix computation, statistical inference, stochastic modeling, or algorithm analysis; Define rigorous grading criteria, including numerical accuracy, convergence, complexity, feasibility, and mathematical correctness, along with appropriate tolerances, stopping criteria, stability requirements, and reproducibility controls; Develop automated tests and debug issues — validate results across edge cases and alternative valid implementations, and troubleshoot problems involving floating-point precision, solver failures, conditioning, convergence, and performance.

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.

As a Task Executor – ERP / Business Systems, you will operate ERPNext on the Frappe Framework to complete assigned business workflows accurately. You will create, submit, cancel, and verify documents such as quotations, sales orders, purchase orders, invoices, journal entries, stock entries, BOMs, and work orders across Accounting, Stock, Buying, Selling, Manufacturing, Assets, Projects, and HR. Main tasks listed: Execute assigned workflows in ERPNext using the provided instructions and values; Create, submit, cancel, and verify quotations, orders, invoices, journal entries, stock entries, BOMs, and work orders; Navigate Accounting, Stock, Buying, Selling, Manufacturing, Assets, Projects, and HR modules; Capture requested document IDs, reports, ledger effects, stock updates, screenshots, and exported files. This work may involve recording or sharing personal data (for example voice, video or account activity): read the consent and privacy terms on the official page before applying.