AI Tutor - Math

SpaceXSI

United States

Remote

USD 62.000 - 103.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

SpaceXSI is seeking a data annotation specialist to enhance Grok by labeling data in pure mathematics, including abstract algebra, analysis, topology, and graph theory. You will assess model outputs and craft rigorous explanations.

Strong mathematical background and ability to critique AI-generated reasoning are essential. You will work remotely with a team of mathematicians and AI engineers, developing high-quality datasets and solutions that help train advanced models while ensuring clear,

Qualifikationen

  • Master’s degree or PhD in mathematics, pure math specialization.
  • IMO medal or comparable high-level math competition.
  • English CEFR C1 level or higher.
  • Peer-reviewed publications in pure mathematics (preferred).
  • Experience in AI tutoring/model evaluation (preferred).
  • University-level teaching experience (preferred).

Aufgaben

  • Annotate data using proprietary software for designated projects.
  • Deliver high-quality, curated datasets meeting project standards.
  • Collaborate with technical teams to develop/train new tasks.
  • Improve annotation tools and workflows with technical staff.
  • Address problems across pure math fields and evaluate AI outputs.
  • Interpret tasks and apply guidelines accurately.

Kenntnisse

CEFR English Proficiency
Teaching experience
Strong reading & analytical skills
Critical thinking

Ausbildung

Master’s degree or PhD in mathematics (pure math)
IMO medal or equivalent high-level competition

Jobbeschreibung

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

ABOUT THE ROLE:

In this role, you will help enhance Grok by providing high-quality data annotations, labels, and inputs focused on pure mathematics. You will draw on your expertise in areas such as abstract algebra, real and complex analysis, topology, graph theory, and other pure mathematics subfields, to evaluate model outputs, identify mathematical errors or gaps in reasoning, and produce clear, rigorous solutions and explanations. Your work will help train Grok to distinguish flawed or inadequately justified approaches from solutions that are mathematically sound, accurately modeled, and practically applicable.

RESPONSIBILITIES:
  • Use proprietary software applications to annotate and label data for designated projects.
  • Support the delivery of high-quality, accurate, and well-curated datasets that meet project standards.
  • Collaborate with technical teams to develop and train new tasks, contributing to the successful development and implementation of innovative technologies and initiatives.
  • Work closely with technical staff to improve the design, functionality, and efficiency of annotation tools and workflows.
  • Solve problems across pure mathematics subfields aligned with your expertise, including abstract algebra, real and complex analysis, topology, graph theory, and related areas. Develop detailed solutions and critically evaluate AI-generated responses.
  • Interpret, analyze, and execute tasks accurately in accordance with established guidelines and project requirements.
BASIC QUALIFICATIONS:
  • Meet one of the following criteria:
  • A master’s degree or PhD in mathematics, with a specialization in a pure mathematics subfield; or
  • A medal in the International Mathematical Olympiad (IMO) or a comparable high-level mathematics competition.
  • English proficiency at CEFR C1 level or higher.
PREFERRED SKILLS AND EXPERIENCE:
  • Peer-reviewed publications in pure mathematics in reputable scientific journals.
  • Previous experience in AI tutoring, AI model evaluation, or related applications of artificial intelligence.
  • Teaching experience, particularly at the college or university level.
  • Strong research skills, including the ability to navigate diverse information resources, academic databases, and technical literature.
  • Excellent written and verbal communication, analytical, interpersonal, and organizational skills.
  • Strong reading comprehension and critical-thinking skills, with the ability to exercise sound independent judgment when working with limited information.
  • A strong interest in technological advancement, innovation, and emerging technologies.
LOCATION AND OTHER EXPECTATIONS:
  • This is a remote role which may be performed from the following countries:
  • United States
  • United Kingdom
  • Canada
  • Australia
  • India
  • This role may be offered as a full-time or part-time position, depending on role / business needs and candidate availability. Full-time positions are preferred and require working standard business hours in your local time zone.
  • Positions are typically offered as fixed-term employment contracts of 6 months. Extensions or conversion to a permanent role may be available based on business needs.
  • For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
  • We are unable to provide visa sponsorship.
  • Travel to a SpaceXSI site may be required.
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 US-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.

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