AI Tutor - Software Engineering Specialist

🏢 Summary: Role focused on improving AI model training by curating high-quality code examples, evaluating and refining AI-generated code, and ensuring enterprise-grade performance and reliability. Involves hands-on software engineering to optimize scalability, efficiency, and quality standards across AI-driven coding solutions. Position can be remote with flexible engagement depending on project needs. 🗂️ Requirements: Professional experience building scalable high-performance applications, Deep expertise in at least one programming language, Strong proficiency with frameworks and libraries, Solid understanding of software design principles, Experience with performance optimization, Experience implementing security standards, Experience implementing accessibility standards, Strong debugging and profiling skills, Hands-on experience with testing frameworks, Experience with containerization technologies, Knowledge of backend systems and APIs, Knowledge of databases and authentication mechanisms 📃 Skills: Programming, Frameworks, Libraries, Scalability, Performance, Security, Accessibility, Debugging, Profiling, Testing, Docker, Containerization, APIs, Databases, Authentication, Analytics, Monitoring, Design 🏢 Description: 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: Contribute to AI model training initiatives by curating code examples, offering precise solutions, and providing meticulous corrections in specialized programming languages. Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability. Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks. BASIC QUALIFICATIONS: Professional software engineering experience building scalable, high-performance applications. Deep expertise in one or more programming languages. Strong proficiency in relevant frameworks and libraries. Solid understanding of software design principles, performance optimization, and best practices. Experience implementing quality standards, including accessibility, security, and reliability where applicable. Strong debugging and profiling skills using development tools and performance monitoring. Hands-on experience with testing frameworks and tools relevant to your domain. PREFERRED SKILLS AND EXPERIENCE: The ideal candidate for this role is adaptable, possesses strong logical reasoning skills, is detail-oriented, and thrives in a fast-paced work environment. Experience integrating analytics, monitoring, and security best practices relevant to your technical domain. Experience with containerization technologies (e.g., Docker). Knowledge of complementary technologies (e.g., backend systems, APIs, databases, authentication) to enable effective cross-functional collaboration. LOCATION AND OTHER EXPECTATIONS: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $60/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: The role involves working as an AI Tutor specializing in Industrial/Systems Engineering, supporting the training of AI models through high-quality data labeling and task development. The position focuses on collaborating with technical teams, refining annotation tools, and contributing domain expertise to improve model performance in a fast-paced environment. It can be performed remotely with flexible hours depending on project needs. 🗂️ Requirements: Master's or PhD in Industrial or Systems Engineering or related field, Proficiency in written and spoken English, Ability to use software tools for data input and labeling, Ability to navigate databases and online information resources, Strong analytical skills, Ability to interpret and execute tasks based on detailed instructions, Legal eligibility to work without visa sponsorship, Access to Chromebook, MacOS 11+, or Windows 10+ device 📃 Skills: IndustrialEngineering, SystemsEngineering, DataAnnotation, DataLabeling, AI, Databases, TechnicalWriting, English, MacOS, Windows 🏢 Description: 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: xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. As an AI Tutor - Industrial/Systems Engineering specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. RESPONSIBILITIES: Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. BASIC QUALIFICATIONS: Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. PREFERRED SKILLS AND EXPERIENCE: Possess a PhD in Industrial or Systems Engineering. Substantial professional experience working on real-world problems in this domain. Possess experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as an industrial or systems engineer. LOCATION AND OTHER EXPECTATIONS: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: AI Tutor – Industrial/Systems Engineering specialist role focused on providing high-quality data labeling and domain expertise to support training and improvement of advanced AI systems. The position involves close collaboration with technical teams to refine annotation tools, curate datasets, and enhance model performance. This is a hands-on, flexible role requiring strong analytical skills and adaptability in a fast-paced AI development environment. 🗂️ Requirements: Master’s or PhD in Industrial or Systems Engineering or related field, Proficiency in written and spoken English, Ability to use proprietary annotation software, Experience navigating databases and online resources, Strong analytical and reading comprehension skills, Ability to interpret and execute evolving technical instructions, Capability to collaborate with technical teams, MacOS 11+ or Windows 10+ or Chromebook device 📃 Skills: Annotation, Data-labeling, AI, Databases, Research, English, Technical-writing, MacOS, Windows, Chromebook 🏢 Description: 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: xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. As an AI Tutor - Industrial/Systems Engineering specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. RESPONSIBILITIES: Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. BASIC QUALIFICATIONS: Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. PREFERRED SKILLS AND EXPERIENCE: Possess a PhD in Industrial or Systems Engineering. Substantial professional experience working on real-world problems in this domain. Possess experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as an industrial or systems engineer. LOCATION AND OTHER EXPECTATIONS: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: AI Tutor role focused on multilingual audio data annotation, transcription, and voice-based AI training to improve speech recognition and spoken interactions across languages and accents. The position involves working with audio datasets, evaluating speech quality, and collaborating on annotation workflows for AI systems. Remote opportunities are available globally with flexible employment arrangements depending on project needs. 🗂️ Requirements: Native Dutch proficiency, English proficiency at B2 level or higher, Experience with multilingual audio content, Accurate audio transcription skills, Ability to analyze accents and speech nuances, Capability to provide voice recordings, Strong auditory perception, Ability to evaluate noisy or accented speech, Strong analytical and organizational skills, Eligibility to work remotely without visa sponsorship, Access to Chromebook, macOS 11+, or Windows 10+ device 📃 Skills: Dutch, English, Transcription, Annotation, Audio, Speech, Linguistics, Phonetics, Phonology, Sociolinguistics, AI, Recording, Prosody, macOS, Windows, Chromebook 🏢 Description: ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to the mission by training and refining AI systems 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 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 accent, and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Dutch with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding of high-quality audio data. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features such as intonation, stress, rhythm, and emotion with high consistency and accuracy. - Background in linguistics, speech sciences, cognitive science, or a related field, or equivalent practical experience. - Experience working with speech or audio datasets, annotation workflows, or AI training data. - Knowledge of training voice models and understanding how data quality impacts model performance. - Professional experience in voice work such as voice acting, voice recording, podcasting, or similar audio production. - Ability to exercise independent judgment in ambiguous audio scenarios and make consistent annotation decisions. - Portfolio with voice samples, annotated transcripts, or audio-related work is strongly preferred. LOCATION AND OTHER EXPECTATIONS: - Roles may be offered as full-time, part-time, or contractor positions. - Contractor hours vary based on project scope and availability, with many projects averaging at least 10 hours per week. - Roles may be performed remotely worldwide, subject to legal eligibility and role-specific needs. - US-based candidates in Wyoming and Illinois are not eligible. - Visa sponsorship is not available. - Personal devices must use ChromeOS, macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: - US-based candidates: $35/hour - $45/hour depending on experience, skills, education, location, and qualifications. - International compensation details provided during recruitment. - Eligible US-based positions may include health insurance, 401(k), and paid sick leave.

🏢 Summary: AI Legal and Compliance Data Specialist role focused on training AI systems with high-quality legal and compliance data annotations. The position involves legal analysis, contract and regulatory review, collaboration with technical teams, and improving annotation workflows in a flexible remote environment. Candidates must have a J.D. and professional legal practice experience across relevant legal domains. 🗂️ Requirements: J.D. or foreign equivalent, 2+ years practicing law in relevant legal fields, Strong legal analysis and legal writing skills, Professional English reading and writing proficiency, Strong communication and analytical skills, Ability to exercise autonomous judgment, Bar admission or equivalent legal certification, Ability to adapt to evolving instructions, Eligibility to work remotely without visa sponsorship, Access to Chromebook, macOS 11+ or Windows 10+ device 📃 Skills: AI, Annotation, Compliance, Contracts, Litigation, Research, Cybersecurity, Privacy, English, Windows, macOS, Chromebook 🏢 Description: SpaceXAI'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: We are seeking a skilled AI Legal and Compliance Data Specialist to enhance xAI's AI models by providing high-quality data annotations and inputs tailored to legal and compliance contexts. In this role, you will leverage your expertise in regulatory compliance, contract analysis, legal research, and dispute resolution to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal and compliance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. RESPONSIBILITIES: - Utilize proprietary software to provide accurate input and labels for legal and compliance projects, ensuring high-quality data for AI model training. - Deliver curated, high-quality data for scenarios involving regulatory compliance, contract analysis, legal research, and dispute resolution. - Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. - Assist in designing and improving efficient annotation tools tailored for legal and compliance data. - Select and analyze complex problems in legal and compliance fields aligned with your expertise to enhance AI model performance. - Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. BASIC QUALIFICATIONS: - Must have a J.D. (Juris Doctor) or foreign equivalent. - At least 2 years of practicing law in one or more relevant practice areas. - Strong legal analysis and writing skills, including the ability to draft clear, concise, and well reasoned legal documents and memoranda. - Proficiency in reading and writing informal and professional English. - Strong communication, interpersonal, analytical, and organizational skills. - Excellent reading comprehension and ability to exercise autonomous judgment with limited data. - Passion for technological advancements and innovation in legal processes. - Relevant certification, license, or advanced training (bar admission or similar legal certification). PREFERRED SKILLS AND EXPERIENCE: - Experience mentoring or training others in legal practices. - Comfort with recording audio or video sessions for data collection. - Familiarity with AI or data annotation workflows in a technical setting. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary based on project scope and contractor availability. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. - For US based candidates, hiring is unavailable in Wyoming and Illinois. - Visa sponsorship is not available. - Personal devices must be Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: - US based candidates: $45/hour - $100/hour depending on experience, skills, education, geographic location, and qualifications. - Benefits vary based on employment type, location, and jurisdiction. - Eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. - Specific details will be provided during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Finance-focused AI Tutor role supporting AI model training through data annotation, labeling, and finance expertise across investment analysis, accounting, and related domains. The position involves collaborating with technical teams, improving annotation tools, and contributing high-quality finance data in a flexible remote environment. Candidates need advanced finance knowledge, strong analytical skills, and comfort working with text, voice, and video data. 🗂️ Requirements: Master's or PhD in Finance, Economics, Business Administration with finance focus, or related field, Equivalent professional experience in investment analysis, equities, commodities, real estate, fixed income, or accounting, Proficiency in written and professional English, Ability to use financial information resources and databases, Strong analytical and organizational skills, Ability to interpret and execute evolving instructions, Comfort providing text, voice, and video data annotations, Computer with Chromebook, macOS 11+, or Windows 10+ 📃 Skills: Bloomberg, Reuters, SEC, Finance, Economics, Accounting, Taxation, Modeling, Risk, Equities, Commodities, Forex, Derivatives, CPA, CFA 🏢 Description: ABOUT THE ROLE: As a Finance Expert, you will be instrumental in enhancing the capabilities of cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with the technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced finance fields, with a focus on investment analysis and topics including but not limited to equities, commodities, real estate, fixed income, forex, derivatives, and accounting. As an AI Tutor, you will support the training and refinement of AI models by helping systems understand how people interact and approach discussions in finance. AI Tutors actively participate in gathering or providing data such as text, voice, and video data, including annotations, audio recordings, and video sessions. RESPONSIBILITIES: - Use proprietary software applications to provide input and labels on defined projects. - Support and ensure the delivery of high-quality curated data. - Contribute to the training of new AI tasks and collaborate with technical staff on initiatives and technologies. - Help improve the design of efficient annotation tools. - Choose and solve finance-related problems in areas such as investment analysis, taxation, accounting, financial modeling, or risk assessment. - Interpret, analyze, and execute tasks based on provided instructions. BASIC QUALIFICATIONS: - Master's or PhD in a finance-related field or equivalent professional experience. - Professional-level English reading and writing skills. - Ability to navigate financial information resources and databases such as Bloomberg, Reuters, and SEC filings. - Strong communication, analytical, interpersonal, and organizational skills. - Strong reading comprehension and autonomous judgment. - Passion for technological innovation in finance. PREFERRED SKILLS AND EXPERIENCE: - Experience as an investment analyst, portfolio manager, wealth manager, or financial consultant. - Publication in a reputable finance or economics journal. - Teaching experience in finance-related subjects. - CPA certification. - CFA Charterholder. LOCATION AND OTHER EXPECTATIONS: - Roles may be full-time, part-time, or contractor positions. - Contractor schedules are flexible and depend on project scope. - Remote work available worldwide subject to eligibility and role requirements. - Visa sponsorship is not available. - Personal devices must use Chromebook, macOS 11.0+, or Windows 10+. COMPENSATION AND BENEFITS: - US compensation ranges from $45/hour to $100/hour depending on qualifications and location. - Eligible US positions may include health insurance, 401(k), and paid sick leave. - Additional details provided during the interview process. SpaceXAI is an equal opportunity employer.

🏢 Summary: Software Engineer role focused on building scalable data platforms and pipelines for AI model training, including data acquisition, preparation, orchestration, monitoring, and quality evaluation. The position involves collaborating with ML and data teams to develop reliable systems that support large-scale training workflows and improve model performance. 🗂️ Requirements: Bachelor's degree in Computer Science, Data Science, Engineering, Math, Physics, or related field OR 2+ years of professional software experience, 1+ years of experience in software engineering, application development, data engineering, or data science, Experience with programming languages such as Python, Rust, Java, C#, Scala, or Go, Experience with frontend frameworks such as Angular or React, Hands-on experience with Kubernetes and containerized deployments, Experience with relational and non-relational databases, Understanding of version control, testing, CI/CD, deployment, and monitoring, Understanding of statistics and machine learning frameworks 📃 Skills: Python, Rust, Java, C#, Scala, Go, Angular, React, Kubernetes, Ray, PostgreSQL, Iceberg, Clickhouse, Grafana, Superset, CI/CD, Docker, SQL, MachineLearning 🏢 Description: ABOUT THE ROLE: At xAI, we are building AI systems that push the frontier of human knowledge and scientific discovery. High-quality data is fundamental to every stage of that mission. Our Data team is responsible for ensuring that the models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle. This includes partnering closely with acquisition teams to identify where valuable data can be sourced, determining what data is needed to improve model performance, and building the production pipelines and systems that transform raw inputs into high-quality training data at scale. We work at the intersection of software, data, infrastructure, and machine learning to ensure our models train effectively and reliably. As a Software Engineer on xAI's Data team, you will be responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training. You will provide the ability to run training in a reliable, scalable and repeatable manner. You will also provide visibility on training status and data lineage. You will work closely with acquisition teams, ML engineers, and data engineers to build a reliable data pipeline to run training at scale. The ideal candidate combines strong software engineering fundamentals and excellent coding practices. RESPONSIBILITIES: - Develop a highly reliable and scalable enterprise data platform to orchestrate data acquisition, preparation, training, quality evaluation, and delivery for model training - Create new features such as data lineage, visibility, and monitoring for end-to-end training that improve the quality of the data and model performance - Collaborate with peers on architecture, design, and code reviews - Build prototypes to prove out key design concepts and quantify technical constraints - Own all aspects of software engineering and product development - Deep dive into business problems, find efficient solutions and apply first principles thinking BASIC QUALIFICATIONS: - Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree - 1+ years of experience in application development, software engineering, data engineering, or data science PREFERRED SKILLS AND EXPERIENCE: - Programming experience in Python, Rust, Java, C#, Scala, Go or similar languages - Frontend experience in Angular, React, or similar JavaScript frameworks - Hands-on experience with Kubernetes and containerized deployments - Experience with Ray, AI training and orchestration - Experience with relational and non-relational databases, data lakes e.g. PostgreSQL, Iceberg, Clickhouse, or similar - Experience with data exploration tools like Grafana, Superset, or similar - Good understanding of version control, testing, continuous integration, build, deployment and monitoring - Good understanding of statistics, machine learning algorithms and frameworks COMPENSATION AND BENEFITS: - $150,000 - $250,000 USD - Base salary is part of a total rewards package that includes equity, medical, vision, and dental coverage, 401(k) retirement plan, disability insurance, life insurance, and additional perks.

🏢 Summary: Finance AI Tutor role focused on training AI models through financial data annotation, investment analysis, and evaluation of model responses across finance domains. The position involves collaborating with technical teams, using proprietary annotation tools, and contributing expertise in areas such as equities, accounting, taxation, and risk assessment. Remote opportunities are available with flexible full-time, part-time, or contractor arrangements. 🗂️ Requirements: Master's or PhD in Finance, Economics, Business Administration with finance focus, or related field, Equivalent professional experience in investment analysis, accounting, commodities, fixed income, equities, or real estate, Proficiency in written and spoken English, Ability to navigate financial databases and information resources, Strong analytical and organizational skills, Ability to interpret and execute evolving instructions, Commitment to technological innovation in finance, Comfortable providing text, voice, and video data annotations, Eligible to work remotely without visa sponsorship, Access to Chromebook, macOS 11+, or Windows 10+ device 📃 Skills: Finance, Economics, Accounting, Bloomberg, Reuters, SEC, Investment, Equities, Commodities, RealEstate, FixedIncome, Forex, Derivatives, Taxation, Modeling, RiskAssessment, Annotation, AI, English, MacOS, Windows, Chromebook 🏢 Description: SpaceXAI'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 a Finance Expert, you will be instrumental in enhancing the capabilities of cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with the technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced finance fields, with a focus on investment analysis and topics including but not limited to equities, commodities, real estate, fixed income, forex, derivatives, and accounting, where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. As an AI Tutor, you will play an essential role in advancing AI model training and refinement. AI Tutors teach AI models how people interact and approach issues and discussions in finance. To accomplish this, AI Tutors actively participate in gathering or providing data, such as text, voice, and video data, including annotations, audio recordings, or video sessions. An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. RESPONSIBILITIES: - Use proprietary software applications to provide input and labels on defined projects. - Support and ensure the delivery of high-quality curated data. - Support the training of new tasks and collaborate with technical staff on implementation of new technologies. - Help improve the design of efficient annotation tools. - Choose problems from finance fields aligned with expertise, including investment analysis, taxation, accounting, financial modeling, or risk assessment. - Interpret, analyze, and execute tasks based on given instructions. BASIC QUALIFICATIONS: - Master's or PhD in a finance-related field or equivalent professional experience as an investment analyst. - Proficiency in reading and writing professional and informal English. - Ability to navigate financial databases and online resources such as Bloomberg, Reuters, and SEC filings. - Strong communication, interpersonal, analytical, and organizational skills. - Strong reading comprehension and autonomous judgment. - Passion for technological innovation in finance. PREFERRED SKILLS AND EXPERIENCE: - Experience as an investment analyst, portfolio manager, wealth manager, or financial consultant. - Publication in a reputable finance or economics journal. - Teaching experience in finance-related subjects. - CPA certification. - CFA Charterholder status. LOCATION AND OTHER EXPECTATIONS: - Roles may be full-time, part-time, or contractor positions. - Contractor hours vary depending on project scope and availability. - Remote work available worldwide subject to legal eligibility and role requirements. - No visa sponsorship available. - Personal devices must use ChromeOS, macOS 11.0+, or Windows 10+. COMPENSATION AND BENEFITS: - US compensation ranges from $45/hour to $100/hour depending on qualifications and experience. - Benefits may include health insurance, 401(k), and paid sick leave depending on employment type and location.

🏢 Summary: Engineering role focused on building and operating a highly scalable, low-latency API infrastructure that serves AI models globally. The position involves owning end-to-end distributed systems for high-throughput inference, including model serving, request routing, and observability. It requires deep expertise in Rust or C++ and strong experience with distributed systems and production-grade infrastructure. 🗂️ Requirements: Expert knowledge of Rust or C++, Experience designing and maintaining horizontally scalable distributed systems, Experience building reliable production infrastructure, Knowledge of service observability and reliability best practices, Experience operating PostgreSQL, Clickhouse, or MongoDB, Strong understanding of high-throughput, low-latency systems 📃 Skills: Rust, C++, Go, PostgreSQL, Clickhouse, MongoDB, gRPC, Docker, Kubernetes, TensorRT, vLLM, SGLang 🏢 Description: ABOUT THE ROLE: As an ideal candidate you have a good understanding of how highly scalable and reliable production infrastructure is built. Most of our backend infrastructure is written in Rust. Familiarity with a compiled language such as C++, Rust, or Go is highly beneficial. RESPONSIBILITIES: Build the xAI API that serves our models to developers worldwide Own the end-to-end system responsible for high-throughput inference, handling billions of tokens per minute with low latency and high availability, including model serving infrastructure, request routing, SDK development, rate limiting, observability, and efficient scaling BASIC QUALIFICATIONS: Expert knowledge of either Rust or C++ Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems Knowledge of service observability and reliability best practices Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB PREFERRED SKILLS AND EXPERIENCE: Experience with LLM inference engines and serving frameworks (e.g., SGLang, TensorRT, vLLM) Experience designing or building with agent SDKs and agent orchestration frameworks Experience with Docker, Kubernetes, and containerized applications Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping) COMPENSATION AND BENEFITS $180,000 - $440,000 USD Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on building and owning a high-throughput, low-latency API and backend infrastructure for large-scale model inference. The position involves designing and operating reliable, horizontally scalable distributed systems that serve billions of tokens per minute. You will develop and maintain model serving, routing, SDKs, and observability within a production-grade environment. 🗂️ Requirements: Expert knowledge of Rust or C++, Experience building and maintaining horizontally scalable distributed systems, Experience designing reliable high-availability production infrastructure, Knowledge of observability and reliability best practices, Experience operating PostgreSQL, Clickhouse, or MongoDB 📃 Skills: Rust, C++, Go, PostgreSQL, Clickhouse, MongoDB, gRPC, Docker, Kubernetes, TensorRT, vLLM, SGLang, REST, SDK 🏢 Description: 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 ideal candidate you have a good understanding of how highly scalable and reliable production infrastructure is built. Most of our backend infrastructure is written in Rust. So familiarity with a compiled language such as C++, Rust, or Go is highly beneficial. RESPONSIBILITIES: Build the xAI API that serves our models to developers worldwide Own the end-to-end system responsible for high-throughput inference, handling billions of tokens per minute with low latency and high availability, including model serving infrastructure, request routing, SDK development, rate limiting, observability, and efficient scaling BASIC QUALIFICATIONS: Expert knowledge of either Rust or C++ Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems Knowledge of service observability and reliability best practices Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB PREFERRED SKILLS AND EXPERIENCE: Experience with LLM inference engines and serving frameworks (e.g., SGLang, TensorRT, vLLM) Experience designing or building with agent SDKs and agent orchestration frameworks Experience with Docker, Kubernetes, and containerized applications Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping) COMPENSATION AND BENEFITS $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.