You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives.

Your responsibilities include refining annotation tools and selecting complex problems from advanced Earth Science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

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.

• Solve problems that help drive innovation in Earth Science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.

• Choose problems from various fields across Earth Science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.

• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in earth science, geophysics, oceanography, atmospheric science, or a highly related field.

• Expertise and specialization in an Earth Science subdomain, including but not limited to oceanography, geophysics, geochemistry, atmospheric science, geology, seismology.

• Proficiency in reading and writing, both in informal and professional English.

• Strong ability to navigate various information resources, databases, and online resources is essential.

• Outstanding communication, interpersonal, analytical, and organizational capabilities.

• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.

• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in earth science, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals.

• Previous AI Tutoring experience.

• Teaching experience (as a professor, teacher, or tutor).

• Experience in technical writing, journalism, or a professional writing setting.

Location and Other Expectations:

• This position is based in Palo Alto, CA, or fully remote.

• The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.

• If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.

• For those who will be working from a personal device, please note 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.

XML job scraping automation by YubHub

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, analyse, 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 organisational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgement 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.

XML job scraping automation by YubHub

You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging problems in statistics to boost performance.

All of our AI Tutor roles potentially involve gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which candidates must be comfortable.

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.
• Choose problems from statistical domains that align with your expertise, focusing on areas such as probability theory, inferential statistics, regression modelling, multivariate analysis, stochastic processes, Bayesian methods, experimental design, and data-driven applications where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have either (a) a Master’s or PhD in Statistics (or Mathematics with a specialisation in statistics or probability) or (b) a medal in an International Math Olympiad (IMO), International Statistical Olympiad, or similar competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organisational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgement even when presented with limited data/material.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in Statistics or a closely related quantitative field.
• Peer-reviewed publications in statistics, probability, or applied statistical modelling.
• Previous AI Tutoring experience and/or experience teaching college-level statistics courses.

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.

XML job scraping automation by YubHub

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced space science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

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.

The AI Tutor - Space Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

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.
• Solve problems that help drive innovation in space science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across space science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications

• Master’s or PhD in astrophysics, astronomy, physics, or a highly related field.
• Expertise and specialization in a space science subdomain, including but not limited to galactic astronomy, extragalactic astronomy, observational astronomy, stellar astrophysics, high-energy astrophysics, cosmology, planetary science, earth sciences, astroparticle physics, general relativity, and interdisciplinary space sciences.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience

• Advanced expertise in physics, astronomy, or astrophysics, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing 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 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.
• 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.

XML job scraping automation by YubHub

You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging problems in statistics to boost performance.

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.
• Choose problems from statistical domains that align with your expertise, focusing on areas such as probability theory, inferential statistics, regression modeling, multivariate analysis, stochastic processes, Bayesian methods, experimental design, and data-driven applications where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have either (a) a Master’s or PhD in Statistics (or Mathematics with a specialization in statistics or probability) or (b) a medal in an International Math Olympiad (IMO), International Statistical Olympiad, or similar competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• 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.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in Statistics or a closely related quantitative field.
• Peer-reviewed publications in statistics, probability, or applied statistical modeling.
• Previous AI Tutoring experience and/or experience teaching college-level statistics courses.

XML job scraping automation by YubHub

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced space science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

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.

The AI Tutor - Space Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

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.
• Solve problems that help drive innovation in space science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across space science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in astrophysics, astronomy, physics, or a highly related field.
• Expertise and specialization in a space science subdomain, including but not limited to galactic astronomy, extragalactic astronomy, observational astronomy, stellar astrophysics, high-energy astrophysics, cosmology, planetary science, earth sciences, astroparticle physics, general relativity, and interdisciplinary space sciences.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in physics, astronomy, or astrophysics, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing 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 widely based on project scope and contractor availability, with no fixed commitments required.
• 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.

XML job scraping automation by YubHub

You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create complex problems from advanced competition math topics to boost performance.

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.
• Design, select, and refine tasks grounded in competition math, for example:

Problem Creation: Develop questions and answers suitable for AI training, in the style and difficulty of top-level math competitions. Rubric Creation: Create rubrics for grading model solutions to competition-style problems, consistent with the style and practices of official contest rubrics. Solution Grading: Grade model solutions to competition-style problems, with or without a rubric. Proof Checking: Check model solutions to competition-style proof problems and determine if they are correct and/or what score they merit. Interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Must have at least one of the following:

Distinction in a top-level math competition (e.g., IMO, USAMO, Putnam, etc.); Significant experience coaching competitors in top-level math competitions; or A Master’s or PhD in math combined with past participation in math competitions.

Also required:

• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• 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.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Previous AI tutoring experience.
• Proficiency with LaTeX, Google Sheets, and Google Docs.

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.
• 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.

XML job scraping automation by YubHub

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced materials science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

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.

The AI Tutor - Materials Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

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.
• Solve problems that help drive innovation in materials by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across materials science that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in materials science, physics, chemistry, chemical engineering, or a highly related field.
• Expertise and specialization in a materials-related subdomain, including but not limited to energy materials, semiconductors, nanomaterials, metals, alloys, biomaterials, polymers, elastomers, ceramics, or glasses.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in materials science, demonstrated by multiple publications, or patents, preferably with one or more first-author papers, in reputable peer-reviewed journals.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

XML job scraping automation by YubHub

As a Biology Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software.

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced biological fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

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.
• Solve problems that help drive innovation in life sciences by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from fields across biology, biotechnology and life sciences that align with your expertise in specialized subdomains such as genomic analysis, evolutionary biology, or drug discovery, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Qualifications

• Master’s or PhD in a biology-related field.
• Expertise in one or more of the following: Genetics, Genomics, Developmental Biology, Systems Biology, Physiology and Anatomy, Evolution, Microbiology, Plant Biology, Zoology and Animal Biology, Marine Biology and Oceanography, Epidemiology, Biostatistics, Public Health, Pharmacology, Toxicology and Drug Discovery.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience

• Advanced expertise in biology, demonstrated by multiple publications, including at least one first-author paper, in reputable peer-reviewed journals
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

XML job scraping automation by YubHub

You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create complex problems from advanced competition math topics to boost performance.

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.
• Design, select, and refine tasks grounded in competition math, for example:

Problem Creation: Develop questions and answers suitable for AI training, in the style and difficulty of top-level math competitions. Rubric Creation: Create rubrics for grading model solutions to competition-style problems, consistent with the style and practices of official contest rubrics. Solution Grading: Grade model solutions to competition-style problems, with or without a rubric. Proof Checking: Check model solutions to competition-style proof problems and determine if they are correct and/or what score they merit. Interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Must have at least one of the following:

+ Distinction in a top-level math competition (e.g., IMO, USAMO, Putnam, etc.); + Significant experience coaching competitors in top-level math competitions; or + A Master’s or PhD in math combined with past participation in math competitions.

Also required: + Proficiency in reading and writing, both in informal and professional English. + Strong ability to navigate various information resources and databases. + 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. + A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Previous AI tutoring experience.
• Proficiency with LaTeX, Google Sheets, and Google Docs.

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.
• 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.

XML job scraping automation by YubHub