April 24, 2026

AI Tutor - Software Engineering Specialist

Senior • Remote

10,400 - 17,333 USD/hr

Palo Alto, CA

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.

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93,600 - 207,996 USD/hr

🏢 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.

Technology

New offer

SpaceXAI

Software Engineer - Data

Mid

On-site

Palo Alto, CA

150,000 - 249,996 USD/yr

🏢 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.