COL Limited
Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY We want to develop a "Science of Scheming". The goal is ambitious and we're looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. YOU WILL HAVE THE OPPORTUNITY TO - Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. - Deeply study the RL dynamics that lead to the emergence of reward seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. - Work towards "Scaling laws of scheming". Build the empirical foundations to predict how scheming risks evolve as models scale in capability. - Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. - Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note: We are not hiring for interpretability roles. KEY REQUIREMENTS A diverse range of skill sets will be required to drive our research agenda forward and we don't expect any single candidate to fulfill all the characteristics below. That being said, a successful candidate likely displays excellence at one or several of the following: Fast paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. Conceptual insights about scheming: You have deeply thought about the problem of AI scheming and are familiar with all the relevant literature. You are able to turn vague and undefined concepts into concrete and insightful experiment proposals. Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL training LLMs: You have hands on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. We want to emphasize that people who feel they don't fulfil all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don't require a formal background or industry experience and welcome self taught candidates. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 200k GBP ( 135k - 270k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Time Allocation: Full time Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in person role. In rare situations, we may consider partially remote arrangements on a case by case basis. Work Visas: We can sponsor UK visas ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. Apollo Research is primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g., to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. ABOUT THE TEAM The current evals team consists of Jérémy Scheurer, Alex Meinke, Bronson Schoen, Felix Hofstätter, Axel Højmark, Teun van der Weij, Alex Lloyd and Mia Hopman. Alex Meinke coordinates the research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the evals team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi stage process includes a screening interview, a take home test (approx. 2.5 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode style general coding interviews. If you want to prepare for the interviews, we suggest working on hands on LLM evals projects (e.g. as suggested in our starter guide); such as building LM agent evaluations in Inspect.
Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY We want to develop a "Science of Scheming". The goal is ambitious and we're looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. YOU WILL HAVE THE OPPORTUNITY TO - Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. - Deeply study the RL dynamics that lead to the emergence of reward seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. - Work towards "Scaling laws of scheming". Build the empirical foundations to predict how scheming risks evolve as models scale in capability. - Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. - Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note: We are not hiring for interpretability roles. KEY REQUIREMENTS A diverse range of skill sets will be required to drive our research agenda forward and we don't expect any single candidate to fulfill all the characteristics below. That being said, a successful candidate likely displays excellence at one or several of the following: Fast paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. Conceptual insights about scheming: You have deeply thought about the problem of AI scheming and are familiar with all the relevant literature. You are able to turn vague and undefined concepts into concrete and insightful experiment proposals. Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL training LLMs: You have hands on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. We want to emphasize that people who feel they don't fulfil all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don't require a formal background or industry experience and welcome self taught candidates. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 200k GBP ( 135k - 270k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Time Allocation: Full time Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in person role. In rare situations, we may consider partially remote arrangements on a case by case basis. Work Visas: We can sponsor UK visas ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. Apollo Research is primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g., to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. ABOUT THE TEAM The current evals team consists of Jérémy Scheurer, Alex Meinke, Bronson Schoen, Felix Hofstätter, Axel Højmark, Teun van der Weij, Alex Lloyd and Mia Hopman. Alex Meinke coordinates the research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the evals team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi stage process includes a screening interview, a take home test (approx. 2.5 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode style general coding interviews. If you want to prepare for the interviews, we suggest working on hands on LLM evals projects (e.g. as suggested in our starter guide); such as building LM agent evaluations in Inspect.
Globalsouthopportunities
Cambridge, Cambridgeshire
The global education network Teach For All is seeking an Online Community Manager to support the growth of its AI Literacy & Creator Collective (AI LCC). This remote role offers an opportunity to help shape the future of artificial intelligence in education by facilitating collaboration among educators across more than 60 countries. The Online Community Manager will foster peer-to-peer learning and engagement across digital platforms, helping educators explore and adopt responsible AI practices in classrooms worldwide. Position Overview Position Title: Online Community Manager Location: Fully Remote (multiple countries eligible including South Africa, Kenya, Nigeria, India, Canada, and others) Travel Requirement: Up to 10% Work Arrangement: Fully virtual with occasional cross-time-zone meetings Funding Duration: Currently secured through FY27 (September 2027) About Teach For All Teach For All is a global network of more than 60 locally led organizations committed to expanding educational opportunity for all children. Each partner organization recruits and develops leaders to teach in underserved schools and communities. The global organization supports these partners by: Facilitating collaboration and knowledge exchange across the network Providing coaching and consulting services Enabling access to global resources and partnerships Strengthening collective leadership to improve education systems worldwide Role Purpose The Online Community Manager will support the AI and Educational Technology Initiative Team, which works to empower educators to integrate AI tools responsibly in teaching and learning. The role focuses on building a vibrant online community where educators can share knowledge, collaborate on AI-enabled teaching practices, and learn from peers across cultures and regions. Key Responsibilities The Online Community Manager will lead community engagement, digital content creation, and AI innovation initiatives within the AI LCC. Community Facilitation and Growth Design and moderate structured peer learning circles where educators share AI prompts, lesson plans, and teaching experiences. Identify emerging leaders within community groups and empower them to lead specialized learning sub-groups. Guide the evolution of community platforms from WhatsApp and Telegram to more advanced platforms such as Discord. Foster inclusive engagement across diverse languages, cultures, and time zones. AI Integration and Innovation Experiment with emerging AI tools such as ChatGPT, Gemini, Claude, and Midjourney. Implement AI tools to support community needs such as: summarizing discussions translating multilingual conversations providing instant educational resources. Facilitate conversations on ethical AI adoption, including data privacy, bias, and responsible use in education. Operations and Analytics Track and analyze community health metrics, including engagement levels and learning outcomes. Collect and share stories highlighting the real-world impact of educators using AI tools. Collaborate with regional teams across the Teach For All network to strengthen community engagement. Use data insights to improve participation and program design. Content Creation and Production short videos infographics guides and toolkits educational articles. Maintain a structured content calendar across multiple channels including social media, email, and web platforms. Produce mobile-friendly content that simplifies complex AI topics for educators worldwide. Required Qualifications Candidates should demonstrate strong experience in digital community management, AI tools, and content creation. Key requirements include: Community and Leadership Experience Experience building and managing high-engagement online communities on social platforms. Proven ability to empower community members to take leadership roles. Experience collaborating across cultures, languages, and time zones. AI and Technology Expertise Hands-on experience using generative AI tools and foundation models. Practical knowledge of prompt engineering and AI applications in education or professional contexts. Content Development Skills Experience producing multimedia content for digital platforms. Proficiency with design and editing tools such as: Canva Adobe Creative Cloud Ability to translate complex technical information into accessible educational materials. Technical and Analytical Skills Experience using community analytics to track engagement trends. Ability to create educational content designed for mobile devices. Strong digital literacy and familiarity with AI-enabled workflows. Additional qualifications that strengthen an application include: Systems thinking and understanding of education transformation. Experience working in global education or social impact initiatives. Curiosity and adaptability in rapidly evolving technology environments. Alignment with Teach For All's mission to advance educational equity. Working proficiency in Spanish to support collaboration with Spanish-speaking educators. Working Conditions The role operates in a fully virtual environment with flexible work arrangements. However, candidates should be comfortable with: Collaborating across international time zones Occasional travel for global meetings or events Fast-paced technology and innovation environments Benefits and Opportunities Teach For All offers a supportive professional environment with opportunities for growth and impact, including: Flexible working arrangements Generous leave policies Continuous professional development opportunities Participation in a global network of education leaders Application Process Interested candidates should submit the following documents through the Teach For All online application portal: Resume or Curriculum Vitae (CV) interest in the role relevant experience and skills alignment with Teach For All's mission Applications are reviewed on a rolling basis, and candidates are encouraged to apply as soon as possible. Applicants must already have legal work authorization in the country from which they will work, as the position does not offer visa sponsorship. Conclusion The Online Community Manager role offers a unique opportunity to contribute to the global transformation of education by empowering educators with AI tools and collaborative learning networks. By facilitating peer-to-peer engagement and innovation, the successful candidate will help shape a global movement toward equitable, technology-enabled education. Disclaimer:Global South Opportunities (GSO) is not the organization hiring for the remote job. For any inquiries, please contact the official organization directly. Please do not send your applications to GSO, as we are unable to process them. Due to the high volume of emails, we may not be able to respond to all inquiries. Thank you for your understanding.
The global education network Teach For All is seeking an Online Community Manager to support the growth of its AI Literacy & Creator Collective (AI LCC). This remote role offers an opportunity to help shape the future of artificial intelligence in education by facilitating collaboration among educators across more than 60 countries. The Online Community Manager will foster peer-to-peer learning and engagement across digital platforms, helping educators explore and adopt responsible AI practices in classrooms worldwide. Position Overview Position Title: Online Community Manager Location: Fully Remote (multiple countries eligible including South Africa, Kenya, Nigeria, India, Canada, and others) Travel Requirement: Up to 10% Work Arrangement: Fully virtual with occasional cross-time-zone meetings Funding Duration: Currently secured through FY27 (September 2027) About Teach For All Teach For All is a global network of more than 60 locally led organizations committed to expanding educational opportunity for all children. Each partner organization recruits and develops leaders to teach in underserved schools and communities. The global organization supports these partners by: Facilitating collaboration and knowledge exchange across the network Providing coaching and consulting services Enabling access to global resources and partnerships Strengthening collective leadership to improve education systems worldwide Role Purpose The Online Community Manager will support the AI and Educational Technology Initiative Team, which works to empower educators to integrate AI tools responsibly in teaching and learning. The role focuses on building a vibrant online community where educators can share knowledge, collaborate on AI-enabled teaching practices, and learn from peers across cultures and regions. Key Responsibilities The Online Community Manager will lead community engagement, digital content creation, and AI innovation initiatives within the AI LCC. Community Facilitation and Growth Design and moderate structured peer learning circles where educators share AI prompts, lesson plans, and teaching experiences. Identify emerging leaders within community groups and empower them to lead specialized learning sub-groups. Guide the evolution of community platforms from WhatsApp and Telegram to more advanced platforms such as Discord. Foster inclusive engagement across diverse languages, cultures, and time zones. AI Integration and Innovation Experiment with emerging AI tools such as ChatGPT, Gemini, Claude, and Midjourney. Implement AI tools to support community needs such as: summarizing discussions translating multilingual conversations providing instant educational resources. Facilitate conversations on ethical AI adoption, including data privacy, bias, and responsible use in education. Operations and Analytics Track and analyze community health metrics, including engagement levels and learning outcomes. Collect and share stories highlighting the real-world impact of educators using AI tools. Collaborate with regional teams across the Teach For All network to strengthen community engagement. Use data insights to improve participation and program design. Content Creation and Production short videos infographics guides and toolkits educational articles. Maintain a structured content calendar across multiple channels including social media, email, and web platforms. Produce mobile-friendly content that simplifies complex AI topics for educators worldwide. Required Qualifications Candidates should demonstrate strong experience in digital community management, AI tools, and content creation. Key requirements include: Community and Leadership Experience Experience building and managing high-engagement online communities on social platforms. Proven ability to empower community members to take leadership roles. Experience collaborating across cultures, languages, and time zones. AI and Technology Expertise Hands-on experience using generative AI tools and foundation models. Practical knowledge of prompt engineering and AI applications in education or professional contexts. Content Development Skills Experience producing multimedia content for digital platforms. Proficiency with design and editing tools such as: Canva Adobe Creative Cloud Ability to translate complex technical information into accessible educational materials. Technical and Analytical Skills Experience using community analytics to track engagement trends. Ability to create educational content designed for mobile devices. Strong digital literacy and familiarity with AI-enabled workflows. Additional qualifications that strengthen an application include: Systems thinking and understanding of education transformation. Experience working in global education or social impact initiatives. Curiosity and adaptability in rapidly evolving technology environments. Alignment with Teach For All's mission to advance educational equity. Working proficiency in Spanish to support collaboration with Spanish-speaking educators. Working Conditions The role operates in a fully virtual environment with flexible work arrangements. However, candidates should be comfortable with: Collaborating across international time zones Occasional travel for global meetings or events Fast-paced technology and innovation environments Benefits and Opportunities Teach For All offers a supportive professional environment with opportunities for growth and impact, including: Flexible working arrangements Generous leave policies Continuous professional development opportunities Participation in a global network of education leaders Application Process Interested candidates should submit the following documents through the Teach For All online application portal: Resume or Curriculum Vitae (CV) interest in the role relevant experience and skills alignment with Teach For All's mission Applications are reviewed on a rolling basis, and candidates are encouraged to apply as soon as possible. Applicants must already have legal work authorization in the country from which they will work, as the position does not offer visa sponsorship. Conclusion The Online Community Manager role offers a unique opportunity to contribute to the global transformation of education by empowering educators with AI tools and collaborative learning networks. By facilitating peer-to-peer engagement and innovation, the successful candidate will help shape a global movement toward equitable, technology-enabled education. Disclaimer:Global South Opportunities (GSO) is not the organization hiring for the remote job. For any inquiries, please contact the official organization directly. Please do not send your applications to GSO, as we are unable to process them. Due to the high volume of emails, we may not be able to respond to all inquiries. Thank you for your understanding.