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About Turing: 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 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&LRole Overview: We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.What does day-to-day look like: Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring. Translate business objectives into robust ML architectures that accurately capture business logic and context. Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics. Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques. Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomesRequired Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field. 4+ years of hands-on DS/ML development experience, Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.). Ability to understand and apply different models to real-world use cases Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics. Proven ability to design scalable, production-grade ML systems.Preferred Qualifications: Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers). Experience with cloud data platforms (Databricks, AWS, etc.) Hands-on experience with PySpark and Databricks Platform Stay up-to-date with the latest advancements in machine learning and artificial intelligence.Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench Experimenting with new technologies and frameworks based on Research papers published in top conferences and journalsPerks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details: Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type  : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week] Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoEvaluation Process (approximately 75 mins) : Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 mins

About Turing: Role OverviewWe are looking for Finance Experts with strong domain knowledge and analytical skills to collaborate with our researchers in improving the performance of AI models. This is a unique opportunity to apply your finance expertise across areas such as corporate finance, investment banking, accounting, FP&A, private equity, and consulting, while contributing to the advancement of AI systems. No prior AI experience is required.What You'll Do Day-to-Day Evaluate model outputs in finance-related tasks and identify gaps where models do not perform well. Develop rubrics and structured assessments for specialized areas (e.g., deal analysis, M&A assessments, investment scenarios). Collaborate with AI researchers and fellow finance experts to design training methods, evaluation strategies, and benchmarks.Requirements Experience: 2+ years in investment banking, private equity, venture capital, FP&A, accounting, or financial consulting. Qualifications: CFA (Level I/II/III) cleared, or CA/CPA/MBA in Finance preferred. Candidates with relevant on-job experience and training will also be considered. Strong understanding of financial concepts (corporate finance, investment analysis, asset management, risk management, etc.) within your domain of expertise. Excellent written and verbal communication in English.Perks of Freelancing with Turing Work on the cutting edge of AI and finance. Fully remote, flexible work environment. Competitive hourly compensation. Gain exposure to advanced AI systems and insight into how they’re trained.Offer Details Commitment: Flexible, 10–30 hours per week. Duration: ~1 month, with potential extension based on performance and project needs. Employment Type: Contract (freelance; no medical/paid leave). Location: India.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&L.

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.Role Overview:This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models.One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models.For example, in the case of Agent Completion (AC) data generation, your task will be to simulate high-quality multi-turn conversations between a user and a smart assistant that utilizes function-calling tools to accomplish user goals. You will craft these dialogues by playing both the assistant and the user, while simulating tool use where necessary to guide the assistant through complex decision-making and real-world reasoning scenarios.What does day-to-day look like: Design multi-turn conversations that simulate real interactions between users and AI assistants using apps like calendar, email, maps, and drive. Emulate both the user and the assistant, including the assistant's tool calls (only when corrections are needed). Carefully select when and how the assistant uses available tools, ensuring logical flow and proper usage of function calls. Craft dialogues that demonstrate natural language, intelligent behavior, and contextual understanding across multiple turns. Generate examples that showcase the assistant’s ability to gracefully complete feasible tasks, recognize infeasible ones, and maintain engaging general chat when tools aren’t required. Ensure all conversations adhere to defined formatting and quality guidelines, using an internal playbook. Iterate on conversation examples based on feedback to continuously improve realism, clarity, and value for training purposes. Collaborate with peers and reviewers to maintain consistency and high standards in deliverables.Requirements: Strong general technical reasoning skills and the ability to model real-world assistant behavior using tool-based APIs. Ability to break down complex tasks and simulate realistic dialogues that reflect user expectations and assistant limitations. Experience in any programming language or tech stack is acceptable; a strong grasp of APIs, data formats (e.g., JSON), and logical thinking is more critical than specific toolsets. Excellent written communication skills in English, with a focus on clarity, tone, and instructional coherence. Creativity and attention to detail in crafting realistic scenarios and responses. Experience working with or around LLMs, virtual assistants, or function-calling frameworks is a plus. Ability to follow detailed guidelines and formatting standards with high consistency. 3+ years of overall professional experience in a technical or analytical field.Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details: Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 6 WeeksLocation: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico

About Turing: 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 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&L.Role Overview:As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.Key Qualifications Japanese Proficiency: Ability to read and write in Japanese with a high degree of comp, as Japanese is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required.  We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.Description: In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve: Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.Education & Experience BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.Offer Details: Commitments Required: at least 4 hours per day and up to 20 hours per week with 4 hours of overlap with PST. Engagement type: Contractor Engagement Length: 3 months Our offered rate for this project is $15 per hour.Evaluation 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: Principal GenAI Engineer – Knowledge Graph & Semantic SystemsLocation: Onsite – New York CityEmployment Type: Full TimeExperience Level: Senior About TuringBased in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s “One of America’s Best Startup Employers” and recognition from The Information and Fast Company as one of the most innovative companies globally.About the RoleTuring is hiring a Principal GenAI Engineer with strong expertise in LLMs and Knowledge Graphs to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on building Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.What We’re Looking For10+ years of experience in ML/AI systems2+ years hands-on experience with LLMs (RAG, agents, prompt engineering)5+ years of production experience working with Knowledge GraphsStrong proficiency in Python, LangChain/LangGraph, and SQLExperience deploying GenAI systems on AWS / Azure / GCPMandatory Knowledge Graph ExpertiseDesign and scale enterprise Knowledge Graph architecturesDevelop ontologies, taxonomies, and semantic data modelsImplement entity resolution, relationship extraction, and graph enrichmentExperience with Neo4j, Amazon Neptune, or similar graph databasesStrong hands-on experience with Cypher (or similar graph query languages)Build hybrid retrieval systems combining Knowledge Graphs + vector databasesIntegrate structured graph reasoning with LLMs to reduce hallucination and improve explainabilityVetting flow:1 Hour technical Discussion (Turing internal)30 minutes technical Delivery connect (Turing internal)30 minutes Delivery connect (Turing internal)Possible 1 Hour in person Customer round of interview at NYC, NY (Not confirmed)