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Location: Gold Coast, Australia Love football (soccer) and have an entrepreneurial mindset? Stranger Soccer is expanding across key cities worldwide and is seeking a License Owner to launch and grow the Stranger Soccer operation in Gold Coast. This is not a salaried management role—it's an opportunity for an entrepreneurial individual to build and operate something of their own while making football more accessible in their local community. We're looking for someone ambitious, community-driven, and passionate about the game. Does This Sound Like You? Visit www.strangersoccer.com and explore the "Bring Stranger Soccer to Your City" section to learn more. If this opportunity aligns with your goals, complete the interest form to start the conversation. We also recommend downloading the Stranger Soccer app to experience the platform firsthand. Your Responsibilities Launch and grow the Stranger Soccer brand in Gold Coast Recruit, train, and manage a small local team (2–3 people), supported by Official Hosts Secure suitable football venues and regular playing opportunities Drive marketing and customer growth through digital and local initiatives Oversee game operations while delivering an outstanding player experience Work closely with Stranger Soccer HQ, supported by established operations and technology teams What We're Looking For Passion for football and strong connections within the local football community Experience in management, operations, sales, or customer-facing roles An entrepreneurial mindset and ability to work independently A strong sense of ownership and ambition to grow Stranger Soccer locally Motivation to deliver results, with rewards tied to performance and growth About Stranger Soccer Football is loved by billions, yet many still struggle to play regularly. Stranger Soccer makes playing football as easy and convenient as going for a jog or visiting the gym. Our app lets players discover nearby games, book a spot, and simply turn up to play. Founded in Singapore, Stranger Soccer now operates across 10+ cities and has delivered over 100,000 games worldwide. We're looking for passionate License Owners who want to bring this experience to their communities—whether you call it Fussball, Fútbol, Calcio, or football. Our Mission To make playing football as easy as going for a jog. Our Vision A world where playing football is as popular and accessible as watching football. Ready to be part of the journey? We'd love to hear from you.

Location: Chennai, India Love football (soccer) and have an entrepreneurial mindset? Stranger Soccer is expanding across key cities worldwide and is seeking a License Owner to launch and grow the Stranger Soccer operation in Chennai. This is not a salaried management role—it's an opportunity for an entrepreneurial individual to build and operate something of their own while making football more accessible in their local community. We're looking for someone ambitious, community-driven, and passionate about the game. Does This Sound Like You? Visit www.strangersoccer.com and explore the "Bring Stranger Soccer to Your City" section to learn more. If this opportunity aligns with your goals, complete the interest form to start the conversation. We also recommend downloading the Stranger Soccer app to experience the platform firsthand. Your Responsibilities Launch and grow the Stranger Soccer brand in Chennai Recruit, train, and manage a small local team (2–3 people), supported by Official Hosts Secure suitable football venues and regular playing opportunities Drive marketing and customer growth through digital and local initiatives Oversee game operations while delivering an outstanding player experience Work closely with Stranger Soccer HQ, supported by established operations and technology teams What We're Looking For Passion for football and strong connections within the local football community Experience in management, operations, sales, or customer-facing roles An entrepreneurial mindset and ability to work independently A strong sense of ownership and ambition to grow Stranger Soccer locally Motivation to deliver results, with rewards tied to performance and growth About Stranger Soccer Football is loved by billions, yet many still struggle to play regularly. Stranger Soccer makes playing football as easy and convenient as going for a jog or visiting the gym. Our app lets players discover nearby games, book a spot, and simply turn up to play. Founded in Singapore, Stranger Soccer now operates across 10+ cities and has delivered over 100,000 games worldwide. We're looking for passionate License Owners who want to bring this experience to their communities—whether you call it Fussball, Fútbol, Calcio, or football. Our Mission To make playing football as easy as going for a jog. Our Vision A world where playing football is as popular and accessible as watching football. Ready to be part of the journey? We'd love to hear from you.

Location: Denpasar, Indonesia Love football (soccer) and have an entrepreneurial mindset? Stranger Soccer is expanding across key cities worldwide and is seeking a License Owner to launch and grow the Stranger Soccer operation in Bali. This is not a salaried management role—it's an opportunity for an entrepreneurial individual to build and operate something of their own while making football more accessible in their local community. We're looking for someone ambitious, community-driven, and passionate about the game. Does This Sound Like You? Visit www.strangersoccer.com and explore the "Bring Stranger Soccer to Your City" section to learn more. If this opportunity aligns with your goals, complete the interest form to start the conversation. We also recommend downloading the Stranger Soccer app to experience the platform firsthand. Your Responsibilities Launch and grow the Stranger Soccer brand in Bali Recruit, train, and manage a small local team (2–3 people), supported by Official Hosts Secure suitable football venues and regular playing opportunities Drive marketing and customer growth through digital and local initiatives Oversee game operations while delivering an outstanding player experience Work closely with Stranger Soccer HQ, supported by established operations and technology teams What We're Looking For Passion for football and strong connections within the local football community Experience in management, operations, sales, or customer-facing roles An entrepreneurial mindset and ability to work independently A strong sense of ownership and ambition to grow Stranger Soccer locally Motivation to deliver results, with rewards tied to performance and growth About Stranger Soccer Football is loved by billions, yet many still struggle to play regularly. Stranger Soccer makes playing football as easy and convenient as going for a jog or visiting the gym. Our app lets players discover nearby games, book a spot, and simply turn up to play. Founded in Singapore, Stranger Soccer now operates across 10+ cities and has delivered over 100,000 games worldwide. We're looking for passionate License Owners who want to bring this experience to their communities—whether you call it Fussball, Fútbol, Calcio, or football. Our Mission To make playing football as easy as going for a jog. Our Vision A world where playing football is as popular and accessible as watching football. Ready to be part of the journey? We'd love to hear from you.

Location: Baku, Azerbaijan Love football (soccer) and have an entrepreneurial mindset? Stranger Soccer is expanding across key cities worldwide and is seeking a License Owner to launch and grow the Stranger Soccer operation in Baku. This is not a salaried management role—it's an opportunity for an entrepreneurial individual to build and operate something of their own while making football more accessible in their local community. We're looking for someone ambitious, community-driven, and passionate about the game. Does This Sound Like You? Visit www.strangersoccer.com and explore the "Bring Stranger Soccer to Your City" section to learn more. If this opportunity aligns with your goals, complete the interest form to start the conversation. We also recommend downloading the Stranger Soccer app to experience the platform firsthand. Your Responsibilities Launch and grow the Stranger Soccer brand in Baku Recruit, train, and manage a small local team (2–3 people), supported by Official Hosts Secure suitable football venues and regular playing opportunities Drive marketing and customer growth through digital and local initiatives Oversee game operations while delivering an outstanding player experience Work closely with Stranger Soccer HQ, supported by established operations and technology teams What We're Looking For Passion for football and strong connections within the local football community Experience in management, operations, sales, or customer-facing roles An entrepreneurial mindset and ability to work independently A strong sense of ownership and ambition to grow Stranger Soccer locally Motivation to deliver results, with rewards tied to performance and growth About Stranger Soccer Football is loved by billions, yet many still struggle to play regularly. Stranger Soccer makes playing football as easy and convenient as going for a jog or visiting the gym. Our app lets players discover nearby games, book a spot, and simply turn up to play. Founded in Singapore, Stranger Soccer now operates across 10+ cities and has delivered over 100,000 games worldwide. We're looking for passionate License Owners who want to bring this experience to their communities—whether you call it Fussball, Fútbol, Calcio, or football. Our Mission To make playing football as easy as going for a jog. Our Vision A world where playing football is as popular and accessible as watching football. Ready to be part of the journey? We'd love to hear from you.

Location: Auckland, New Zealand Love football (soccer) and have an entrepreneurial mindset? Stranger Soccer is expanding across key cities worldwide and is seeking a License Owner to launch and grow the Stranger Soccer operation in Auckland. This is not a salaried management role—it's an opportunity for an entrepreneurial individual to build and operate something of their own while making football more accessible in their local community. We're looking for someone ambitious, community-driven, and passionate about the game. Does This Sound Like You? Visit www.strangersoccer.com and explore the "Bring Stranger Soccer to Your City" section to learn more. If this opportunity aligns with your goals, complete the interest form to start the conversation. We also recommend downloading the Stranger Soccer app to experience the platform firsthand. Your Responsibilities Launch and grow the Stranger Soccer brand in Auckland Recruit, train, and manage a small local team (2–3 people), supported by Official Hosts Secure suitable football venues and regular playing opportunities Drive marketing and customer growth through digital and local initiatives Oversee game operations while delivering an outstanding player experience Work closely with Stranger Soccer HQ, supported by established operations and technology teams What We're Looking For Passion for football and strong connections within the local football community Experience in management, operations, sales, or customer-facing roles An entrepreneurial mindset and ability to work independently A strong sense of ownership and ambition to grow Stranger Soccer locally Motivation to deliver results, with rewards tied to performance and growth About Stranger Soccer Football is loved by billions, yet many still struggle to play regularly. Stranger Soccer makes playing football as easy and convenient as going for a jog or visiting the gym. Our app lets players discover nearby games, book a spot, and simply turn up to play. Founded in Singapore, Stranger Soccer now operates across 10+ cities and has delivered over 100,000 games worldwide. We're looking for passionate License Owners who want to bring this experience to their communities—whether you call it Fussball, Fútbol, Calcio, or football. Our Mission To make playing football as easy as going for a jog. Our Vision A world where playing football is as popular and accessible as watching football. Ready to be part of the journey? We'd love to hear from you.

Location: Ahmedabad, India Love football (soccer) and have an entrepreneurial mindset? Stranger Soccer is expanding across key cities worldwide and is seeking a License Owner to launch and grow the Stranger Soccer operation in Ahmedabad. This is not a salaried management role—it's an opportunity for an entrepreneurial individual to build and operate something of their own while making football more accessible in their local community. We're looking for someone ambitious, community-driven, and passionate about the game. Does This Sound Like You? Visit www.strangersoccer.com and explore the "Bring Stranger Soccer to Your City" section to learn more. If this opportunity aligns with your goals, complete the interest form to start the conversation. We also recommend downloading the Stranger Soccer app to experience the platform firsthand. Your Responsibilities Launch and grow the Stranger Soccer brand in Ahmedabad Recruit, train, and manage a small local team (2–3 people), supported by Official Hosts Secure suitable football venues and regular playing opportunities Drive marketing and customer growth through digital and local initiatives Oversee game operations while delivering an outstanding player experience Work closely with Stranger Soccer HQ, supported by established operations and technology teams What We're Looking For Passion for football and strong connections within the local football community Experience in management, operations, sales, or customer-facing roles An entrepreneurial mindset and ability to work independently A strong sense of ownership and ambition to grow Stranger Soccer locally Motivation to deliver results, with rewards tied to performance and growth About Stranger Soccer Football is loved by billions, yet many still struggle to play regularly. Stranger Soccer makes playing football as easy and convenient as going for a jog or visiting the gym. Our app lets players discover nearby games, book a spot, and simply turn up to play. Founded in Singapore, Stranger Soccer now operates across 10+ cities and has delivered over 100,000 games worldwide. We're looking for passionate License Owners who want to bring this experience to their communities—whether you call it Fussball, Fútbol, Calcio, or football. Our Mission To make playing football as easy as going for a jog. Our Vision A world where playing football is as popular and accessible as watching football. Ready to be part of the journey? We'd love to hear from you.

Location: Adelaide, Australia Love football (soccer) and have an entrepreneurial mindset? Stranger Soccer is expanding across key cities worldwide and is seeking a License Owner to launch and grow the Stranger Soccer operation in Adelaide. This is not a salaried management role—it's an opportunity for an entrepreneurial individual to build and operate something of their own while making football more accessible in their local community. We're looking for someone ambitious, community-driven, and passionate about the game. Does This Sound Like You? Visit www.strangersoccer.com and explore the "Bring Stranger Soccer to Your City" section to learn more. If this opportunity aligns with your goals, complete the interest form to start the conversation. We also recommend downloading the Stranger Soccer app to experience the platform firsthand. Your Responsibilities Launch and grow the Stranger Soccer brand in Adelaide Recruit, train, and manage a small local team (2–3 people), supported by Official Hosts Secure suitable football venues and regular playing opportunities Drive marketing and customer growth through digital and local initiatives Oversee game operations while delivering an outstanding player experience Work closely with Stranger Soccer HQ, supported by established operations and technology teams What We're Looking For Passion for football and strong connections within the local football community Experience in management, operations, sales, or customer-facing roles An entrepreneurial mindset and ability to work independently A strong sense of ownership and ambition to grow Stranger Soccer locally Motivation to deliver results, with rewards tied to performance and growth About Stranger Soccer Football is loved by billions, yet many still struggle to play regularly. Stranger Soccer makes playing football as easy and convenient as going for a jog or visiting the gym. Our app lets players discover nearby games, book a spot, and simply turn up to play. Founded in Singapore, Stranger Soccer now operates across 10+ cities and has delivered over 100,000 games worldwide. We're looking for passionate License Owners who want to bring this experience to their communities—whether you call it Fussball, Fútbol, Calcio, or football. Our Mission To make playing football as easy as going for a jog. Our Vision A world where playing football is as popular and accessible as watching football. Ready to be part of the journey? We'd love to hear from you.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: Singapore; Malaysia; Philippines; Indonesia; Thailand; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: United States; Canada; New Zealand; Australia; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: Singapore; Malaysia; Philippines; Indonesia; Vietnam; Thailand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are looking for accomplished Competitive Data Scientists, Machine Learning Engineers, and Applied Mathematics Specialists with a proven track record in data science competitions, particularly on Kaggle and similar platforms. This opportunity is designed for candidates who have achieved at least Kaggle Expert ranking, including Masters and Grandmasters, and can demonstrate strong practical skills in machine learning, statistical modeling, quantitative reasoning, and programming. You will use your competition experience to design challenging, reproducible technical tasks that require genuine problem-solving rather than plausible-looking answers. Your work will involve building execution environments, implementing verified reference solutions, developing reliable evaluation criteria, and testing how AI Coding Agents perform against complex data science challenges. A verifiable Kaggle profile with Expert, Master, or Grandmaster ranking is a key qualification. Strong practical coding and debugging abilities are essential. Previous AI training experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. PROJECT: AI training focused on competitive data science, machine learning, and reproducible technical problem-solving. AI EXPERIENCE: Not required. Key Responsibilities Design challenging data science and machine learning tasks inspired by real-world problems and competitive data science scenarios. Build reproducible execution environments, prepare datasets, configure dependencies, and implement verified reference solutions. Develop automated tests and evaluation criteria that distinguish correct solutions from incomplete, incorrect, or unreliable approaches. Use coding agents to execute assigned tasks, investigate their failures, and evaluate their problem-solving capabilities. Identify implementation errors, flawed assumptions, data leakage, statistical inconsistencies, and other issues affecting solution correctness. Apply competitive data science techniques and mathematical reasoning to validate solutions. Ensure tasks have clear requirements, reliable expected outputs, and reproducible verification procedures. Refine task difficulty and evaluation methods based on observed coding-agent performance. Document task specifications, solution methodologies, technical reasoning, and verification steps. Review and improve task quality to ensure scientific and computational accuracy. Requirements Demonstrated experience in competitive data science, machine learning, quantitative modeling, or applied mathematics. Kaggle profile with at least Expert ranking (Master or Grandmaster ranking strongly valued). Ability to provide a verifiable Kaggle profile demonstrating competition achievements and ranking. Strong understanding of machine learning, statistical modeling, data analysis, and quantitative problem-solving. Practical programming ability, particularly in Python. Ability to independently implement, test, debug, and verify data science solutions. Experience working with datasets, computational environments, and relevant machine learning libraries. Strong analytical reasoning and the ability to explain technical decisions. Ability to identify data leakage, implementation flaws, and methodological errors. Excellent written communication and technical documentation skills. Professional English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Malaysia; Singapore; Philippines; Indonesia; Vietnam; Thailand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE: The Solutions Engineering team at Sentry is responsible for helping our largest customers successfully embed Sentry into their applications and workflows, from integrating our SDK to making sure alerts and issues make it to the right place at the right time. Solutions Engineers will be interfacing with customers to ensure optimal implementation and utilization ensuring that: - Developers can effectively identify and resolve slowdowns and errors in their applications. - Development teams increase developer productivity and customer satisfaction. IN THIS ROLE YOU WILL - Understand customers' pain points and objectives and translate those into implementation and onboarding plans to meet those objectives and demonstrate business value. - Develop best practices, educational offerings, and content around error and performance management, open-source, or the Sentry product (ex: “how-to” articles and/or videos on specific functionality of the product). - Act as a trusted advisor and subject-matter expert for customers to assist with instrumenting software engineering and monitoring best practices - Provide workshop-level interaction to customers in order to drive the maturity of use and broader adoption. - Work cross-functionally (internally) to provide feedback to the product and development teams and align Sentry's product roadmap with improving time to value-delivered. YOU’LL LOVE THIS JOB IF YOU - Enjoy talking about technology and interfacing with engineers and engineering leaders. - Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries. - Love flexing your creative brain by developing solutions, resources, and content from scratch (scripts, code samples, demos, sales-consumable collateral/documents, etc.). - Have a fast-paced, results-driven mindset. - Love developer tools, open-source, and/or all things software development life cycle! QUALIFICATIONS - 6+ years as a Solutions Engineer (preferred), Implementation Consultant, or Software Developer with experience leading projects and/or working with customers. - Hands-on experience working with programming languages and frameworks including JavaScript, Python, Node.js, Java, PHP, .NET, Ruby, React, React Native, Mobile Native (iOS and/or Android), etc. - Possess excellent communication and presentation skills. - Problem solver, knowledgable, and can-doer - The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $190,000 to $230,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.