Inflection AI jobs

Agent Product Manager San Francisco | OnSite ABOUT KASTLE Kastle is building AI operating system for consumer lending, starting with mortgage. We work with some of America's largest mortgage lenders, helping them scale their contact center and compliance operations using AI-driven voice agents. Backed by Y Combinator, Commerce Ventures, and executives from Snapdocs, Google, and WePay, we are redefining lending with AI. ABOUT THE ROLE You're joining at an inflection point. Our usage has grown 40x in the last 6 months and our Agent Product and Success team is a high impact group that shapes how customers use and gain value from our product. You will partner closely with customers to guide deployments, support adoption and ensure they have the tools and insight they need to achieve meaningful outcomes. You will work cross functionally with Engineering and Sales to surface customer needs, solve challenges and help shape how our technology performs in real world environments. This role blends relationship management with hands on execution and is ideal for someone who thrives in a fast paced setting and wants to have a direct impact at a high growth company. WHAT YOU'LL DO - Own deployments end-to-end: scope requirements, customize agents, define success metrics, manage the roadmap, and drive customers from signed contract through full production adoption - Serve as a strategic thought partner to C-suite and senior executives at major servicers and banks - shaping AI roadmaps, leading steering forums, and driving the decisions that determine how AI gets deployed across

Software Engineer (New Grads) San Francisco, California, United States About Giga Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We're building the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises. It's an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers. The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us: - Voice AI startup Giga raises $61M Series A - DoorDash and Giga Partnership Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! The Role We're looking for new grad engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers. This is a role where you'll contribute to real problems from day one. We expect you to

AI Tutor - Punjabi Remote ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and

Solutions Engineer New York About Giga Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We're building the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises. It's an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers. The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us: - Voice AI startup Giga raises $61M Series A - DoorDash and Giga Partnership Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! About the role: We're looking for seasoned Solutions Engineers to join Giga's Solutions team. In this role, you'll collaborate closely with Sales, Forward Deployed Engineering, Product, and Core Engineering to help the world's largest brands operationalize AI agents that transform customer experience and support operations. As a Solutions Engineer, you'll lead complex, multi-stakeholder engagements that span pre-sales strategy,

Language Alignment & Resource Partner (Italian) - Freelance AI Trainer Project Italy Project Overview We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level Italian language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias. Project Deliverables & Scope Operate autonomously to provide linguistic QA and develop alignment resources. Expected deliverables include: Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the target language. Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase. Required Expertise To successfully fulfill the deliverables of this project, Contractors must possess a meticulous eye for language and cultural nuance. Core skillset includes: Demonstrable work or educational experience in linguistics, education, or other fields requiring high attention to linguistic detail. Prior, tangible experience working in human data evaluation or annotation. Verified Italian language proficiency of C1 or C2

AI Trainer - Advanced Urdu Fluency (EST) Remote AI Trainer - Advanced Urdu Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Urdu Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Urdu. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI

Staff Software Engineer, AI Platform San Francisco, California, USA Why Harvey At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today - and we're just getting started. Role Overview Harvey's products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters

Language Alignment & Resource Partner - Freelance AI Trainer Project United States of America Project Overview We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias. Project Deliverables & Scope Operate autonomously to provide linguistic QA and develop alignment resources. Expected deliverables include: Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the target language. Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase. Required Expertise To successfully fulfill the deliverables of this project, Contractors must possess a meticulous eye for language and cultural nuance. Core skillset includes: Demonstrable work or educational experience in linguistics, education, or other fields requiring high attention to linguistic detail. Prior, tangible experience working in human data evaluation or annotation. Verified English language proficiency of C1 or

Account Executive, Language and Robotics San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role We're looking for an Account Executive, Language and Robotics to create and close strategic partnerships across two distinct verticals: Language and Reasoning, and Robotics and Vision. This role demands consultative selling ability, technical fluency, and strong market judgment: the ability to understand two different markets, build separate account strategies for each, and identify where Goodfire can

Coding Specialist - Freelance AI Trainer (Fluent in Italian) Project World Wide - Remote Are you a coding expert fluent in Italian eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline software development for engineers everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for coding specialists who live and breathe algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming-and who can do so fluently in Italian. You'll challenge advanced language models on topics like asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on software engineering tasks and technical scenarios in Italian, verify logical accuracy and coding fluency, assess naturalness and correctness of Italian language usage, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's, master's, or PhD in computer science, software engineering, or a closely related technical field is ideal; real-world coding experience, technical writing in Italian, or open-source contributions signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your coding and Italian language expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the

Business Development Lead, Cloud & AI San Francisco, California, USA Why Harvey At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today - and we're just getting started. Role Overview Harvey's competitive moat deepens every time we tighten our integration with the platforms at the cutting edge of AI. The cloud hyperscalers and frontier AI labs are unique players in our space - they are simultaneously distribution partners, co-development

AI Tutor - Hungarian Remote ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and

Field Team - Member of Technical Staff San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role We're looking for a Member of Technical Staff to join our Field Team and be the technical backbone of our customer engagements, the person who takes our interpretability platform and makes it work inside a partner's environment, end-to-end. This role demands strong engineering capability, the ability to learn new domains fast, the creativity to

German Language Specialist - Freelance AI Trainer Project World Wide - Remote Are you a German language expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of linguistic discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline communication for German speakers everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for German language specialists who live and breathe German grammar, syntax, morphology, phonology, semantics, and pragmatics. You'll challenge advanced language models on topics like verb conjugation, case system (nominative, accusative, dative, genitive), word order, declensions, gender, and stylistic variation-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in German language, linguistics, or a closely related field is ideal; peer‑reviewed publications, teaching experience, or hands-on linguistic analysis projects signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your German language expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6 - $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the

Engagement Manager, Life Sciences San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role We're looking for an Engagement Manager, Life Sciences to own the success of our most important life sciences partnerships from first technical scoping through pilot execution, delivery, and expansion. This role demands scientific curiosity, operational rigor, and strong customer judgment: the ability to understand a partner's goals, coordinate a technical team, and make sure Goodfire's work translates

Software Engineer I / II San Francisco, California, United States About Giga Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We're building the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises. It's an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers. The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us: - Voice AI startup Giga raises $61M Series A - DoorDash and Giga Partnership Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! The Role We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow. This is a role where you'll contribute to real problems from day

AI Trainer - Advanced Mandarin Fluency (EST) Remote AI Trainer - Advanced Mandarin Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Mandarin Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Mandarin. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI

AI Scientist London, United Kingdom posted: Posted 28 Days Ago

Senior Technical Recruiter San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role We're hiring a Senior Technical Recruiter to build our entire talent acquisition function as we scale. You'll be a hands-on, strategic partner to our founders, owning all hiring across AI/ML research engineering, product, and go-to-market roles. You'll perform full cycle recruiting from sourcing and screening through offer stage while building the recruiting infrastructure that will scale with us.

Founding Enterprise Account Executive Remote - San Francisco OR New York Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we're looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $500K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you

Machine Learning Engineer, Agentic AI Remote-USA posted: Posted 30+ Days Ago

Hebrew Translator - Freelance AI Trainer Project United States of America Are you a Hebrew translator eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of linguistic intelligence. With high-quality training data, tomorrow's AI can deliver accurate, context-aware translations, enhance cross-cultural communication, and support learners and professionals around the world. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for Hebrew translators with a strong command of both Hebrew and English who can assess and refine AI-generated translations for grammatical accuracy, fluency, cultural nuance, and context sensitivity. You'll challenge the model with idiomatic expressions, ambiguous phrases, formal and informal tones, and real-world scenarios-documenting model failures and providing insight to improve translation quality and consistency. On a typical day, you will evaluate and edit AI outputs, translate between Hebrew and English in both directions, annotate errors, provide cultural or contextual explanations, and suggest improvements to prompts, evaluation methods, and model behavior. A background in professional translation, linguistics, localization, or language education is ideal. Experience with technical, literary, or media translation is a strong signal of fit. Clear, reflective communication and an ability to articulate translation decisions are essential. Ready to turn your translation expertise into the foundation for tomorrow's AI? Apply today and help train the model that will teach the world. We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience,

ML Scientist (Research) San Francisco | Hybrid | Remote About Knowtex Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. Founded by Stanford AI scientists with deep clinical experience, we're experiencing explosive growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling rapidly to thousands of clinicians across hundreds of specialties. We're at an inflection point where cutting-edge AI meets real clinical impact, giving clinicians hours back each day to focus on what matters most - their patients. Position Overview We are seeking an ML Scientist (Research) to advance Knowtex's voice AI and clinical NLP capabilities at the frontier of healthcare AI. This role focuses on developing and evaluating novel machine learning approaches for medical speech recognition, clinical language understanding, and agentic AI systems tailored for healthcare environments. You will work on research-driven initiatives that directly impact our ambient documentation platform, collaborating closely with applied ML and engineering teams to transition validated research into scalable production systems. This role reports to the CTO and plays a central part in defining the next generation of clinical AI infrastructure. Key Responsibilities - Develop and optimize models for medical speech recognition across 200+ specialties - Research and implement clinical NLP pipelines for automated E&M coding and ICD-10 classification - Design and evaluate note quality scoring systems using LLMs and structured clinical rubrics - Create specialty-specific language models (e.g., gastroenterology, dermatology, emerging markets) - Design and

AI Trainer - Advanced Arabic Fluency (Boston) Remote AI Trainer - Advanced Arabic Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Arabic Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Arabic. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI