Chemistry Tutor

xAI

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 an AI Tutor - Materials Science Specialist at SpaceXAI, 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 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 (please see the bottom of this job description for more details). 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. 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. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

SVERIGES LANTBRUKSUNIVERSITET

Department of Aquatic Sciences and Assessment Third-cycle subject area Environmental assessment, specialising in environmental chemistry Description of the doctoral project     This doctoral project aims to develop an analytically robust strategy to identify, measure and interpret contaminants of emerging concern relevant for water-related human exposure. The project will use existing information from pan-European monitoring campaigns stored in the NORMAN chemical occurrence database to identify substances that may occur in water resources and contribute to human exposure. Based on this evidence, the doctoral student will develop and validate analytical methodologies for selected emerging substances and apply them to water-related samples collected at national or international level. The results will be interpreted using hazard, exposure and risk indicators to support the prioritisation of substances for future monitoring. In addition, suspect and non-target screening will be applied to reveal novel compounds that may contribute to early-warning systems for emerging chemical risks. The project includes i) selecting contaminants of emerging concern re-using European monitoring data and their chemical properties; ii) developing and validating an LC-HRMS-based target method for emerging substances; iii) applying the method to water-related samples (drinking water, precipitation); iv) comparing LC-HRMS with LC-MS/MS for selected compounds to assess sensitivity, linearity, precision and suitability for monitoring; and v) interpreting the results in relation to human exposure You will work in an international, interdisciplinary team. The project provides access to advanced instrumentation and training in data analysis, scientific communication, and collaborative research. About the position We are seeking a PhD student who will advance the understanding of contaminants of emerging concern in water-related pathways of human exposure, with a particular focus on analytical method development and high-resolution mass spectrometry. To achieve this aim, you will develop and apply analytical workflows for the determination of selected emerging substances in water-related samples collected at national or international level. The selection of substances will be guided by existing information. Central to the project is the use of liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) for sensitive and reliable chemical analysis. Analysis of polar substances may require the use of specialised LC columns. The project may also include comparison with LC-MS/MS for selected compounds to assess sensitivity, linearity, precision and suitability for monitoring. Selected samples may be processed using effect-directed analysis (EDA) to link chemical presence with biological effects. The duties also include sample preparation, extraction and analysis of contaminants, processing of HRMS datasets, quality assurance, data analysis, visualisation and interpretation of results using hazard, exposure and risk indicators, collaboration with national and international partners, and scientific manuscript writing in English. Requirements To meet the general entry requirements you must have been awarded a second-cycle (Master’s) qualification, satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or acquired substantially equivalent knowledge in some other way in Sweden or abroad (Higher Education Ordinance 1993:100, Chapter 7, Section 39). Specific entry requirements for the third-cycle courses and study programme in environmental assessment, specialising in environmental chemistry. To meet the specific entry requirements, you must have knowledge of aquatic ecology, aquatic biogeochemistry, statistics or ecotoxicology. The undergraduate degree must include a degree project. You must also meet the equivalent English language requirements as those necessary for the Swedish upper-secondary qualification Engelska B/6. Your profile Applicants shall hold an MSc in analytical chemistry, environmental chemistry, environmental science, toxicology or equivalent. Specialisation in chemical analysis of water contaminants and experience with LC-MS or LC-HRMS are valuable merits. Previous experience with laboratory work, sample preparation, extraction and analysis of organic contaminants is advantageous. Experience with method development, method validation, quality assurance or the analysis of water-related matrices is also considered a merit. Experience with suspect and nontarget screening workflows is highly desirable. Data processing skills using statistical computing and visualization tools (e.g. R, Python or similar) are also considered a merit. The ability to handle large analytical datasets and to work in a structured and reproducible way is important for the project. Emphasis is also placed on personal characteristics such as strong interpersonal skills, analytical and problem-solving abilities, accuracy, motivation, and the capacity to work independently as well as in collaboration with others. Read more here: https://www.slu.se/en/about-slu/work-at-slu/jobs-and-vacancies/doktorand2/   Form of employmentEmployment as a doctoral student (4-year programme). Doctoral student’s salaries are set following the local collective agreement. Salary progression is fixed. Location:Uppsala Scope:100% Start date:Upon agreement. Application and selection:Please submit your application using the link below. The deadline is 28 August 2026.   The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses.

SVERIGES LANTBRUKSUNIVERSITET

Department of Aquatic Sciences and Assessment Third-cycle subject area Environmental assessment, specialising in environmental chemistry. Description of the doctoral project     This doctoral project aims to improve the understanding of contaminants of emerging concern in food chains by using bioaccumulation and trophic transfer as a strategy for chemical prioritisation. The project will investigate how contaminants move from environmental sources into organisms and through food chains, and how these processes can be used to identify substances of relevance for ecosystems and One Health. The project will focus on one or more selected food-chain systems, depending on sample availability, collaborations and scientific relevance. The project includes i) selecting relevant food-chain systems, biological matrices and contaminants of emerging concern based on occurrence data, chemical properties, bioaccumulation potential and available samples; ii) applying target, suspect and non-target screening using LC-HRMS to identify known and previously unknown substances in selected biological matrices; iii) assessing bioaccumulation, biomagnification and trophic transfer patterns where suitable data and samples are available; iv) using environmental specimen bank samples, where available, to investigate time trends and support retrospective screening; and v) connecting measured chemical patterns to possible environmental sources. You will work in an international, interdisciplinary team. The project provides access to advanced instrumentation and training in data analysis, scientific communication, and collaborative research. About the position We are seeking a PhD student who will advance the understanding of contaminants of emerging concern in food chains, with a particular focus on bioaccumulation, trophic transfer and advanced chemical screening. To achieve this aim, you will develop and apply analytical workflows for the detection and identification of known and previously unknown compounds in complex biological matrices, including sample preparation, extraction and clean-up strategies. The project will also include semi-quantitative analysis of detected compounds and the assessment of bioaccumulation, biomagnification and trophic transfer patterns in selected food-chain systems. Where suitable samples are available, environmental specimen bank material may be used to investigate time trends and support retrospective screening. The duties also include preparation of biological and environmental samples, extraction and analysis of target and non-target compounds, processing of large HRMS datasets, data analysis, statistical evaluation, interpretation of chemical patterns in relation to environmental sources, collaboration with national and international partners, and scientific manuscript writing in English. Requirements To meet the general entry requirements you must have been awarded a second-cycle (Master’s) qualification, satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or acquired substantially equivalent knowledge in some other way in Sweden or abroad (Higher Education Ordinance 1993:100, Chapter 7, Section 39). Specific entry requirements for the third-cycle courses and study programme in environmental assessment, specialising in environmental chemistry. To meet the specific entry requirements, you must have knowledge of aquatic ecology, aquatic biogeochemistry, statistics or ecotoxicology. The undergraduate degree must include a degree project.  You must also meet the equivalent English language requirements as those necessary for the Swedish upper-secondary qualification Engelska B/6. Your profile Applicants shall hold an MSc in analytical chemistry, environmental chemistry, chemistry, ecotoxicology, environmental science, food science or equivalent. Specialisation in chemical analysis of organic contaminants and experience with LC-MS, LC-HRMS, GC-MS or other advanced mass spectrometry techniques are valuable merits. Experience with suspect and non-target screening workflows is highly desirable. Previous experience with chemical analytical laboratory work, particularly involving complex biological, food, biota, soil or sediment matrices, is advantageous. Knowledge of contaminants of emerging concern, bioaccumulation, biomagnification, trophic transfer or time-trend analysis is considered a merit. Data processing skills using statistical computing, visualisation and data analysis tools (e.g. R, Python or similar) are also considered a merit. Emphasis is also placed on personal characteristics such as strong interpersonal skills, analytical and problem-solving abilities, accuracy, motivation, and the capacity to work independently as well as in collaboration with others. Read more here: https://www.slu.se/en/about-slu/work-at-slu/jobs-and-vacancies/doktorand3/   Form of employment / FundingEmployment as a doctoral student (4-year programme). Doctoral student’s salaries are set following the local collective agreement. Salary progression is fixed. Location:Uppsala Scope:100% Start date:Upon agreement. Application and selection:Please submit your application using the link below. The deadline is 28 August 2026.   The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.