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:We are looking for an experienced Spanish Voice Actors with 3+ years of professional recording experience to deliver one hour of recorded audio as per the provided script. The ideal candidate can deliver clear, engaging, and versatile performances for a wide range of projects, including commercials, corporate narrations, e-learning, audiobooks, and digital media. You must be able to adapt tone, pitch, and style to suit different audiences while producing clean, studio-quality audio.One-time Onboarding + Set-Up Fee: USD 20 (Expected to take a max of 1 hour)Fixed Fee: USD 200 per finished hour (“Finished hour” means after editing, mastering, cleanup as per the scripts & directions provided)What does day-to-day look like: Record voice-overs from a professional home studio or in-studio sessions. Perform lines with clarity, emotion, and appropriate pacing. Interpret scripts and take creative direction. Revise performances based on feedback. Deliver high-quality audio files on time and in the correct format.Requirements: Minimum 3 years of experience as an Spanish voice actors. Proven portfolio or samples demonstrating studio-grade work. Excellent pronunciation, diction, and fluency in Spanish. Strong vocal range and adaptability across formats. Proficiency with microphone techniques and recording best practices. Basic knowledge of sound editing (noise reduction, leveling, file formatting). Access to a high-quality microphone and professional recording setup. Ability to follow direction, meet deadlines, and manage quick turnarounds.Preferred Qualifications: Experience with dubbing, ADR, or localization Demo reel showcasing a variety of voice styles Background in acting or performing arts Familiarity with audio editing toolsOffer Details: This is a flexible agreement, not a full-time or part-time employment position.Evaluation Process Shortlisting based on qualifications and relevant professional experience. Selected candidates will have to submit a short 30-second demo recording.
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:We are seeking creative and detail-oriented professionals with strong visual interpretation skills to help advance large multimodal AI systems. In this role, you will work on annotating and analyzing videos or images or both, capturing intricate details such as people, objects, environments, relationships, emotions, and storytelling flow.Your work will directly contribute to training next-generation AI models to better perceive, interpret, and reason about the visual world—helping them understand scenes, motion, and context just as humans do.Key Responsibilities: Analyze short video clips and images to identify and annotate key visual and narrative components, including subjects, settings, actions, and emotions. Describe temporal sequences, scene transitions, and interactions in videos with high accuracy. Label complex visual cues such as mood, lighting, and spatial relationships. Follow detailed annotation guidelines to ensure consistency, clarity, and data quality. Validate AI-generated outputs for correctness, structure, and relevance. Collaborate with project leads to align on evolving annotation standards and quality benchmarks. Contribute structured datasets that improve AI model understanding of both static and dynamic visual information.Requirements: English Proficiency: Ability to read, write and communicate in English with high comprehension skills. Attention to Detail: Ability to follow nuanced instructions with precision. Technical Comfort: Familiarity with basic computer tools and working with file uploads/audio formats. Analytical Thinking: Ability to understand context and intent in scripts. Past experience in image/video annotation is preferred but is not necessary Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Availability: At least 20 hours/week is preferred—requirement to be finalized closer to the onboarding date. Technical Setup and Equipment: Reliable computer (desktop/laptop) with stable internet connection.Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs.Offer Details: Commitments Required: 4 hours per day and 20 hours per week with 4 hours of overlap with PST Engagement type : Contractor assignment/freelancer (no medical/paid leave)
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.
Domain-Specific Languages
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)
LLM
Artificial Intelligence
Machine Learning
