159 Data Scientists jobs in Cambridgeshire
Senior Machine Learning Engineer/Computer Vision
Cambridgeshire, Eastern
microTECH Global LTD
Posted 7 days ago
Job Viewed
Job Description
We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to:
- Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP).
- Visual LLMs (e.g. LLaVA).
- Generative Models (e.g. Stable Diffusion and Auto-Regressive models).
- Efficient Architectures.
- Model Compression (distillation, quantization).
- Efficient Adaptation of Large Models.
Key Responsibilities:
- Conduct hands-on innovative research, including methodological conceptualization and implementation.
- Publishing at top venues: CVPR, ECCV, ICCV, ICLR, NeurIPS, ICML, EMNLP, ACL, TPAMI and IJCV.
- Contribute to the research agenda and directions within the center.
- Interact with product and engineering teams for the purpose of technology transfer.
Skills and Qualifications
Key Skills Required:
- Research experience in the fields of Computer Vision and/or Machine Learning.
- Familiarity with fast prototyping Deep Learning frameworks such as PyTorch.
- A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI and IJCV).
- Ability to communicate well and to collaborate with other group members.
This advertiser has chosen not to accept applicants from your region.
0
Data Science Intern - Analytics
CB1 1AA Cambridge, Eastern
£20000 annum (pro
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a pioneering technology research and development firm based in the thriving innovation hub of Cambridge, is offering an exciting opportunity for a bright and motivated Data Science Intern. This role is designed for individuals eager to gain hands-on experience in data analysis, machine learning, and statistical modeling. The internship offers a fully remote work arrangement, providing flexibility for interns across the UK to participate and learn from industry-leading professionals.
As a Data Science Intern, you will work closely with our experienced data science team on real-world projects, applying theoretical knowledge to practical challenges. Your responsibilities will include data cleaning and preprocessing, exploratory data analysis, feature engineering, and assisting in the development and evaluation of machine learning models. You will gain exposure to various data science tools and techniques, including programming languages like Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn). This internship is an excellent chance to contribute to impactful research and development initiatives, learning best practices in data-driven decision-making. You will have the opportunity to present your findings and insights to the team, developing your communication and presentation skills. The ideal candidate will be a current undergraduate or postgraduate student pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. A strong analytical mindset, a passion for data, and foundational knowledge of statistics and programming are essential. While formal experience is not required, a demonstrable interest in data science through personal projects or coursework is highly valued. This fully remote internship provides a unique learning experience and the chance to build a strong foundation for a career in data science. We are looking for enthusiastic individuals who are eager to learn, contribute, and grow within a supportive and innovative environment.
Key Responsibilities:
Qualifications:
As a Data Science Intern, you will work closely with our experienced data science team on real-world projects, applying theoretical knowledge to practical challenges. Your responsibilities will include data cleaning and preprocessing, exploratory data analysis, feature engineering, and assisting in the development and evaluation of machine learning models. You will gain exposure to various data science tools and techniques, including programming languages like Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn). This internship is an excellent chance to contribute to impactful research and development initiatives, learning best practices in data-driven decision-making. You will have the opportunity to present your findings and insights to the team, developing your communication and presentation skills. The ideal candidate will be a current undergraduate or postgraduate student pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. A strong analytical mindset, a passion for data, and foundational knowledge of statistics and programming are essential. While formal experience is not required, a demonstrable interest in data science through personal projects or coursework is highly valued. This fully remote internship provides a unique learning experience and the chance to build a strong foundation for a career in data science. We are looking for enthusiastic individuals who are eager to learn, contribute, and grow within a supportive and innovative environment.
Key Responsibilities:
- Assist in data cleaning, preprocessing, and transformation tasks.
- Perform exploratory data analysis to uncover insights and patterns.
- Support the development and evaluation of machine learning models.
- Conduct statistical analysis and hypothesis testing.
- Contribute to data visualization and reporting efforts.
- Collaborate with the data science team on ongoing research projects.
- Learn and apply various data science tools and techniques.
- Assist in documenting code and methodologies.
- Present findings and insights to the team.
- Engage actively in learning and professional development.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and methods.
- Familiarity with programming languages like Python or R, and relevant data science libraries.
- Strong analytical and problem-solving abilities.
- Eagerness to learn and adapt to new technologies and methodologies.
- Excellent communication and interpersonal skills.
- Ability to work independently and collaboratively in a remote setting.
- Demonstrated interest in data science through coursework or projects.
- Proactive attitude and a strong work ethic.
- Must be eligible to undertake an internship.
This advertiser has chosen not to accept applicants from your region.
1
Remote Data Science Apprentice
CB2 1AA Cambridge, Eastern
£18000 annum (appr
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Are you passionate about data and eager to launch a career in Data Science? Our client is offering a fantastic fully remote apprenticeship opportunity for motivated individuals looking to gain hands-on experience and formal training in this exciting field. This apprenticeship is designed for ambitious individuals with a strong aptitude for numbers and problem-solving, but who may have limited formal experience. You will be mentored by experienced data scientists and have the opportunity to work on real-world projects, learning invaluable skills in data analysis, machine learning, statistical modeling, and data visualization. This is a comprehensive program that combines practical work experience with structured learning, leading to recognized qualifications. You will gain exposure to various tools and technologies used in the data science domain. The program is entirely remote, allowing you to learn and contribute from anywhere in the UK. Responsibilities will include:
Qualifications:
This remote apprenticeship provides a unique pathway into the tech industry, offering excellent career prospects upon successful completion.
- Assisting senior data scientists with data collection, cleaning, and preparation.
- Performing exploratory data analysis to identify trends and patterns.
- Supporting the development and implementation of machine learning models.
- Contributing to data visualization projects to communicate insights.
- Learning and applying statistical modeling techniques.
- Documenting methodologies and findings clearly and concisely.
- Participating in team meetings and contributing to project discussions.
- Engaging actively in online learning modules and training sessions.
- Troubleshooting data-related issues under supervision.
- Adhering to data privacy and security protocols.
Qualifications:
- A strong passion for data and a desire to build a career in Data Science.
- Good analytical and problem-solving skills.
- Proficiency in mathematics and statistics.
- Basic understanding of programming concepts (e.g., Python, R) is a plus, but not essential.
- Excellent communication and collaboration skills, suitable for a remote team environment.
- Ability to learn quickly and adapt to new technologies.
- A minimum of A-Levels or equivalent in a relevant subject (e.g., Maths, Science, Computer Science) or equivalent work experience.
- Must be eligible for an apprenticeship program.
This remote apprenticeship provides a unique pathway into the tech industry, offering excellent career prospects upon successful completion.
This advertiser has chosen not to accept applicants from your region.
2
Data Science Graduate Researcher
CB2 1TN Cambridge, Eastern
£30000 annum (pro-
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client is offering a unique fully remote Graduate Researcher position within their cutting-edge data science division, based out of Cambridge, Cambridgeshire, UK . This is an exceptional opportunity for recent graduates with a passion for data analysis, machine learning, and artificial intelligence to gain invaluable industry experience. You will work alongside a team of world-class data scientists on real-world problems, contributing to groundbreaking research and development. Your responsibilities will include collecting, cleaning, and preprocessing large datasets, developing and implementing machine learning models, conducting statistical analysis, and visualizing data to uncover insights and trends. You will be involved in the entire data science lifecycle, from data acquisition and exploration to model deployment and evaluation. This role demands a strong theoretical understanding of statistical methods, algorithms, and programming languages such as Python or R. Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) is essential. You will also gain exposure to big data technologies and cloud computing platforms. The ideal candidate will possess excellent analytical and problem-solving skills, a meticulous attention to detail, and a strong desire to learn and innovate. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field is required. Previous internship or project experience in data science is highly advantageous. This is a remote-first opportunity, allowing you to collaborate with leading researchers from anywhere in the world. We are looking for enthusiastic individuals who are eager to make a significant impact in the field of data science and contribute to a forward-thinking organization.
This advertiser has chosen not to accept applicants from your region.
3
Data Science Graduate Programme
CB21 Cambridge, Eastern
£32000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Embark on an exciting journey with our exclusive Graduate Data Science Programme, designed for ambitious individuals eager to make a significant impact in the field of data analytics and machine learning. This is a fully remote, 12-month paid internship where you will be immersed in real-world projects, contributing to groundbreaking research and development. Our client is a pioneering tech firm at the forefront of AI innovation, offering unparalleled opportunities for professional growth and learning.
Responsibilities:
Qualifications:
This is a unique opportunity to gain hands-on experience in a dynamic and supportive remote environment, working on challenging problems that shape the future of technology. The role is based remotely, offering flexibility and a work-life balance that complements your academic and professional aspirations. We are committed to fostering a diverse and inclusive workplace where all graduates can thrive and contribute their unique perspectives. Join us and become part of a team that values innovation, continuous learning, and making a real-world difference in the world of data science, from anywhere in the Cambridge, Cambridgeshire, UK region.
Responsibilities:
- Collaborate with senior data scientists and engineers to develop and implement machine learning models.
- Clean, process, and analyse large datasets to extract actionable insights.
- Design and execute experiments to test hypotheses and validate model performance.
- Develop data visualisations and reports to communicate findings to stakeholders.
- Stay abreast of the latest advancements in data science, AI, and machine learning techniques.
- Contribute to the development of new algorithms and methodologies.
- Participate in team meetings, offering innovative ideas and solutions.
- Document code, processes, and findings thoroughly.
Qualifications:
- Recent graduate (within the last two years) with a degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Strong foundation in statistical analysis and machine learning concepts.
- Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
- Familiarity with SQL and database management.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities, essential for a remote-first environment.
- A proactive attitude and a passion for data-driven decision-making.
- Previous experience with data analysis projects, internships, or relevant coursework is a plus.
This is a unique opportunity to gain hands-on experience in a dynamic and supportive remote environment, working on challenging problems that shape the future of technology. The role is based remotely, offering flexibility and a work-life balance that complements your academic and professional aspirations. We are committed to fostering a diverse and inclusive workplace where all graduates can thrive and contribute their unique perspectives. Join us and become part of a team that values innovation, continuous learning, and making a real-world difference in the world of data science, from anywhere in the Cambridge, Cambridgeshire, UK region.
This advertiser has chosen not to accept applicants from your region.
4
Senior Lecturer in Artificial Intelligence and Machine Learning
CB2 1TN Cambridge, Eastern
£50000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a prestigious university renowned for its cutting-edge research and academic excellence, is seeking an experienced Senior Lecturer in Artificial Intelligence and Machine Learning to join their esteemed faculty in **Cambridge, Cambridgeshire, UK**. This role involves delivering high-quality teaching and contributing to innovative research within the field of AI and ML. The successful candidate will be responsible for designing and delivering engaging lectures, tutorials, and practical sessions to undergraduate and postgraduate students, supervising research projects, and contributing to curriculum development. You will also be expected to conduct independent research, publish findings in leading academic journals and conferences, and secure research funding. The ideal candidate will hold a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record and demonstrated experience in teaching at the university level. Expertise in core AI/ML concepts, including deep learning, natural language processing, computer vision, or reinforcement learning, is essential. Excellent communication, presentation, and interpersonal skills are required to effectively engage with students and colleagues. This hybrid role requires a commitment to both on-campus teaching and research activities, as well as the flexibility to engage remotely where appropriate. You will be joining a vibrant academic community, collaborating with leading researchers and contributing to the advancement of AI knowledge. The opportunity to mentor aspiring AI professionals and shape the future of this critical field is significant. A passion for education and a dedication to fostering an inclusive and stimulating learning environment are paramount. You will be encouraged to develop new research directions and contribute to interdisciplinary projects. This position offers a competitive salary, excellent benefits, and the chance to work at one of the world's leading academic institutions.
This advertiser has chosen not to accept applicants from your region.
5
Senior Research Fellow (Artificial Intelligence in Education)
CB2 1TN Cambridge, Eastern
£55000 Annually
WhatJobs
Posted 14 days ago
Job Viewed
Job Description
Our client, a world-renowned university, is seeking an innovative Senior Research Fellow to focus on Artificial Intelligence (AI) in Education. This position is based within a leading academic department in Cambridge, Cambridgeshire, UK , but offers a flexible remote work arrangement, allowing significant autonomy. You will be at the forefront of research exploring the potential of AI to personalize learning, enhance teaching methodologies, and improve educational outcomes. Your responsibilities will include designing and conducting empirical studies, developing AI-powered educational tools, and publishing findings in top-tier academic journals and conferences. This role involves collaborating with a multidisciplinary team of computer scientists, educational psychologists, and curriculum developers. You will also be involved in securing research funding, mentoring PhD students, and contributing to the strategic direction of the research group. The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Educational Technology, or a related field, with a strong publication record in AI and education. Proven experience in developing and evaluating AI algorithms for educational applications is essential. Excellent programming skills (e.g., Python, TensorFlow, PyTorch) and a deep understanding of machine learning techniques are required. Strong communication and collaboration skills are vital for working effectively within a research team and with external partners. This is an outstanding opportunity to contribute to the transformative field of AI in education and make a lasting impact on the future of learning within the prestigious academic environment of Cambridge .
This advertiser has chosen not to accept applicants from your region.
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Senior Lecturer in Computer Science - Artificial Intelligence
CB2 1TN Cambridge, Eastern
£60000 annum (depe
WhatJobs
Posted 15 days ago
Job Viewed
Job Description
A prestigious university renowned for its academic excellence is seeking a dedicated Senior Lecturer in Computer Science, specializing in Artificial Intelligence. This academic position, based in Cambridge, Cambridgeshire, UK , offers an exciting opportunity to contribute to cutting-edge research, deliver high-quality teaching, and shape the future of AI education. You will be involved in both undergraduate and postgraduate programs, fostering a dynamic learning environment and advancing the field of AI.
Key Responsibilities:
Key Responsibilities:
- Deliver engaging and informative lectures, seminars, and practical sessions on Artificial Intelligence and related Computer Science topics at undergraduate and postgraduate levels.
- Conduct high-quality research in Artificial Intelligence, publishing findings in leading academic journals and presenting at international conferences.
- Supervise and mentor student research projects, including dissertations and PhD theses.
- Contribute to the development and review of curriculum content for AI and Computer Science programs.
- Actively participate in departmental activities, including committee work, student recruitment, and outreach initiatives.
- Seek external funding opportunities to support research activities and develop research collaborations.
- Stay abreast of the latest advancements in Artificial Intelligence, machine learning, data science, and other relevant fields.
- Contribute to the overall academic and administrative management of the department.
- Foster a supportive and inclusive learning environment for all students.
- Engage in knowledge transfer activities and collaborations with industry partners.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline.
- A strong track record of research excellence in AI, evidenced by publications in reputable venues.
- Demonstrated experience in university-level teaching and curriculum development.
- Proven ability to supervise student research at various levels.
- Expertise in core AI areas such as machine learning, deep learning, natural language processing, computer vision, or robotics.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and collaboratively within a diverse academic community.
- Experience in securing research grants is highly desirable.
- Passion for teaching and a commitment to student success.
This advertiser has chosen not to accept applicants from your region.
7
AI Content Expert , Artificial General Intelligence
Cambridge, Eastern
Amazon
Posted 11 days ago
Job Viewed
Job Description
Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Contract Type: Fixed term contract
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Contract Type: Fixed term contract
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
8
AI Content Expert , Artificial General Intelligence
Cambridge, Eastern
Amazon
Posted 11 days ago
Job Viewed
Job Description
Description
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Contract Type: Fixed term contract
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Contract Type: Fixed term contract
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
9