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About Turing: About UsBased 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 software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that 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.Ideal BackgroundThis role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.Project OverviewAs a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns across full-stack applications. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task.Required Skills Several years of software engineering experience (3 years or more) Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases. Experience deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales.Engagement Details Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United StatesEvaluation Process The application process takes 15–30 minutes. Completion of an AI video interview is required.

About Turing: About the ClientOur mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.About the RoleWe are looking for an Android Engineer to help us grow internationally  through translations and guest experiences. You will contribute to the  full development cycle, including technical design, development,  testing, experimentation, analysis, and launch. You will be responsible  for managing your task list pipeline as well as communicating your  progress throughout the task life cycle. You will be aiding the  development, maintenance, and support of our platform's Android featuresKey Responsibilities Work with the team to develop, maintain and support all features on Android Perform code reviews on features developed by your peers Collaborate with the team on future features and possible visual designs Maintain strong communication on progress as well as on question/concerns you foresee Manage designated tasks assigned on JiraWho You Might Be: Minimum of 10+ years of software engineering experience, primarily  focusing on developing user-facing Android applications at scale using  Kotlin or Java Experience with modern Android development frameworks such as Jetpack Compose and Kotlin coroutines. Working knowledge of GraphQL Backend experience (service development, databases, Kubernetes) and the ability to design maintainable APIs is a plus Strong organizational skills with the ability to prioritize tasks and deliver projects on schedule Self-directed and thrive in fast-paced environments Excellent communication skills, both verbal and written, to  effectively collaborate with remote teams and communicate complex  technical topics to diverse audienceOffer Details Full-time contractor or employee, depending on a country Remote only, full-time dedication (40 hours/week) Required 4+ hours overlap with Pacific Standard Time Competitive compensation package. Opportunities for professional growth and career development. Dynamic and inclusive work environment focused on innovation and teamwork.

About Turing: Job Title: Project Manager – Digital Transformation & AI SolutionsJob SummaryWe are looking for an experienced Project Manager with strong expertise in Digital Transformation, AI-driven solutions, and RPA implementations. The ideal candidate will lead end-to-end delivery of complex projects across global clients, ensuring execution within scope, timeline, and budget while driving measurable business outcomes.Key ResponsibilitiesLead end-to-end project lifecycle from use case identification to delivery and BAU transitionManage AI, RPA, and digital transformation projects in a global onsite-offshore modelDrive project governance, planning, execution, and stakeholder communicationDefine and track project scope, risks, issues, timelines, and budgetsCollaborate with business stakeholders to gather requirements and translate them into solutionsBuild business cases, ROI models, and solution proposalsManage cross-functional teams including business, technology, and operationsConduct steering committee meetings, project reviews, and status reportingIdentify process improvement and automation opportunities using AI/RPAEnsure resource planning and optimization across project phasesOversee documentation lifecycle (FDDs, process maps, SOPs, sign-offs) Support RFPs, due diligence, and go-to-market initiatives for digital solutionsRequired Skills & Experience 10+ years of experience in Project/Program Management or Digital Transformation Proven experience in: AI / Automation / RPA implementations Business Transformation initiatives Stakeholder & client management across geographies Strong expertise in: Project planning, risk & issue management Cost-benefit analysis and ROI tracking Agile/Scrum methodologies Hands-on experience with tools like:JIRA, Asana, MS Visio Ability to manage multiple concurrent projects and cross-functional teams Strong communication and consulting skillsPreferred Qualifications Certifications: Certified Scrum Master RPA (UiPath / Automation Anywhere) Azure Fundamentals (AZ-900)

About Turing: About TuringBased 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 applying that 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&LJob OverviewWe are looking for experienced engineers with deep design expertise to create challenging, simulation-based design problems for training and evaluating advanced AI models. The role focuses on crafting realistic engineering design tasks where a model must make genuine trade-offs, size components, and iterate against physics-based simulators to meet competing specifications.Key Responsibilities Design and validate simulation-based engineering problems that require true design reasoning, with clear constraints and optimization goals.  Deliver complete problem sets including reference solutions, near-miss variants, edge cases, and documentation, ensure appropriate difficulty with multiple failure modes, and collaborate with researchers to refine problems based on model performance.Domain TracksYou should have deep design expertise in at least one of the following; expertise spanning multiple tracks is a strong plus. Electrical & Computer Engineering — analog/mixed-signal IC design, power electronics, RF/microwave, digital system design, FPGA/ASIC, embedded systems. Mechanical Engineering — structural/thermal/fluid system design, mechanism design, HVAC, vibration/dynamics, manufacturing process design.Required Qualifications Master’s or PhD in a relevant engineering/applied science field. 3+ years of hands-on engineering design experience, producing validated designs from competing specs (not just analysis). Proficient in at least one open-source simulation tool relevant to the domain. Strong Python (or equivalent) scripting skills. High attention to detail across units, boundary conditions, convergence, and physical realism.Offer Details: Commitments Required: at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST. Engagement type: ContractorEvaluation Process - Shortlisted candidates will be sent a Job Interest Form. After the profile review, an assessment will be shared, which must be completed within 24 hours. Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‑onboarding requirements.

About Turing: About Turing:Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Job Overview: We are seeking professionals with strong analytical and mathematical reasoning skills to create high-quality reasoning datasets for Large Language Model (LLM) training. This role focuses on designing and authoring complex, well-defined mathematical systems — including entirely new or fictional constructs — that require models to learn, reason, and prove properties from scratch.Ideal candidates possess a deep understanding of mathematical logic and formal systems (such as group theory, algebraic structures, or discrete mathematics) and can design tasks that assess whether models can apply newly defined axioms to perform calculations, derive properties, and construct valid proofs.Key Responsibilities: Design and define new mathematical objects and operations, similar to those in abstract algebra or group theory, but potentially fictional or modified (e.g., “Chromatic Numbers” where numbers have color attributes and custom addition rules). Author multi-part reasoning tasks that evaluate an LLM’s ability to interpret definitions, perform calculations, and prove properties within these newly defined systems. Develop problem types that include: Applying new mathematical rules to compute or simplify expressions. Proving or disproving structural properties (e.g., associativity, closure, commutativity). Performing symbolic manipulation within multi-layered or hybrid mathematical systems. Ensure every task includes: Deterministic answer(s) — solutions that can be verified against the defined system’s rules. Fully checked reasoning trace — step-by-step logical reasoning consistent with the provided definitions. A rubric that distinguishes between rule misuse, algebraic error, and incomplete proof, ensuring rigorous and consistent evaluation. Anticipate and handle corner cases such as color collisions, non-associative triples, undefined identities, or boundary-rule ambiguities. Collaborate with reviewers and LLM engineers to refine definitions and task phrasing, ensuring clarity, coherence, and reproducibility. Maintain quality and consistency standards across all tasks, emphasizing precision, completeness, and logical correctness.Qualifications: 2+ years of experience in a technical, mathematical, or analytical role (e.g., mathematics, computer science, logic, or data science). Strong background in abstract reasoning and familiarity with formal mathematical systems (group theory, modular arithmetic, symbolic logic, etc.). Proven ability to design structured reasoning problems that test both procedural understanding and conceptual application. Excellent written communication skills for creating clear, rigorous, and logically sound task descriptions and solutions. Demonstrated attention to detail and logical completeness, ensuring definitions and proofs remain internally consistent. Experience working with or evaluating Large Language Models (LLMs) is a plus. Background in Mathematics, Theoretical Computer Science, or a related STEM field preferredDeliverables: A structured collection of reasoning tasks covering: Definition and application of new mathematical systems. Proof and property reasoning. Complex expression evaluation and symbolic generalization. Each task must contain: A formal context block (system definition, axioms, and examples). A prompt query (calculation, proof, or reasoning challenge). An expected output (step-by-step reasoning trace leading to a deterministic final result). A rubric for scoring correctness, consistency, and completeness. Drafts must anticipate corner cases and demonstrate clear handling of exceptions or ambiguous scenarios. Final tasks must be self-contained, verifiable, and aligned with model reasoning evaluation goals. Offer Details: Commitments Required: Minimum 40 hours per week with overlap of 4 hours with PST.  Engagement  type  : Contractor assignment  Duration of contract : 5 weeksEvaluation Process - Shortlisted candidates will be sent a Job Interest Form. After the profile review, an assessment will be shared, which must be completed within 48 hours Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‑onboarding requirements