91 Artificial Intelligence jobs in London

Senior GenAI Platform Engineer - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Artificial Intelligence (AI) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior GenAI Platform Engineers with strong expertise and passion for building platforms, especially for GenAI systems.
As a Senior GenAI Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
Join the AI Group as a Senior GenAI Platform Engineer and you will have the opportunity to:
+ Architect, build, and diagnose multi-tenant GenAI platform systems
+ Work closely with GenAI application teams to design seamless workflows for continuous model training, inference, and monitoring
+ Interface with both GenAI experts to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms
+ Collaborate with open-source communities and GenAI application teams to build a cohesive development experience
+ Troubleshoot and debug user issues
+ Provide operational and user-facing documentation
We are looking for a Senior GenAI Platform Engineer with:
+ Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
+ Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs
+ A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
+ An understanding of Computer Science fundamentals such as data structures and algorithms
+ An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
We give back to the technology community and you can read more about our outreach at:
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior ML Platform Engineer (London) - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:
+ Architect, build, and diagnose multi-tenant AI platform systems
+ Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
+ Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
+ Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
+ Design CI/CD automation frameworks that incorporate regulatory requirements
+ Develop cloud-native deployment patterns for AI systems across environments
+ Troubleshoot and debug user issues
+ Provide operational and user-facing documentation
We are looking for a Senior ML Platform Engineer with:
+ Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
+ Experience designing cloud-native, distributed platforms
+ Strong knowledge of Kubernetes, Argo, and container orchestration technologies
+ Previous experience with modern CI/CD tools and GitOps workflows
+ Familiarity with implementing automation for model development lifecycles
+ A proactive mentality and ability to collaborate with peers, stakeholders, and management
+ A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
+ An understanding of Computer Science fundamentals such as data structures and algorithms
We give back to the technology community and you can read more about our outreach at:
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior AI Engineer - Generative AI and Search - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as:
+ Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions.
+ Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users.
+ Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights.
+ Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability.
You'll have the opportunity to:
+ Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products , enhance analytical capabilities and improve user experience.
+ Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices.
+ Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement.
+ Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization.
+ Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions.
+ Represent Bloomberg at industry events, scientific conferences, and within open-source communities.
You'll need to have:
+ Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus.
+ Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications.
+ Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach.
+ Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Description
Interested in improving the technology and features powering Alexa? Come work on it. We are building the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services. Alexa Data Services' mission is to provide high-quality labelled data for machine learning (ML) technologies.
Key job responsibilities
As Team Manager, you will be responsible for :
- Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and quality
- Support hiring and training of new Associates
- Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis
- Develop the work schedule for the week by balancing work across various workflows and/or navigating competing delivery priorities
- Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies
- Track quality and utilization metrics
- File and track tickets, following up on blocks to productivity
- Provide regular, formal & informal feedback to direct reports
- Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean
- Communicate effectively in English
A day in the life
We are seeking an experienced team manager to join our operations in Cambridge to develop, manage, and support our Amazon Data Services team with Speech and language solutions.
About the team
The ADS team researches and delivers high-calibre multi-language Text-to-Speech technology, leading to voice quality and accuracy.
Basic Qualifications
- Bachelor Degree (Any Stream) or advanced college education or experience in a Leadership or related position with management.
- Proficiency verbal and written communication skills in English
- Experience in understanding performance metrics and developing them to measure progress against key performance indicators
Preferred Qualifications
- Experience with process improvement/quality control tools and methods
- Demonstrated ability to lead diverse talent within a team, work cross-functionally, and build consensus on difficult issues
- Excellent communication, strong organizational skills and very detail-oriented
- Strong interest in hiring and developing people in their respective roles
- Leadership experience in coaching and performance management
- Experience in managing process and operational escalations - Experience with aspects of speech and language technology
- Fluency in a foreign language (German, French or Italian) is a plus
- Experience in practical application of methodologies such as Kaizen, six sigma, or lean
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

Description
This position is a full-time 12 months fixed term contract.
AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are seeking an experienced Operations Manager to join our team in London.
Key job responsibilities
- Develop and drive the overall direction, coordination, service delivery and evaluation of Data Services operations activities
- Set the vision, direction and culture of their teams by managing individual and team performance expectations and goals, monitoring real time service levels and schedule adherence, and holding their teams accountable to meet and exceed performance targets
- Collaborate with internal partners to build input-focused operating plans for achievement of key measures
- Create a culture where accountability, transparency and collaboration are the norm and where rapid deep dives into root causes of defects is a standard operating practice
- Develop, implement, or change processes as necessary to allow ADS to scale at an accelerated pace, while managing cost and, without impacting customer experience
- Implement bar-raising programs aimed at hiring and developing top talent and build career development road-map for site operations teams
- Inspire front line teams to go beyond the standard "call of duty" to find creative solutions for our product issues; encourage risk-taking and advocacy on behalf of product teams.
- Create closed-loop feedback processes where data associates are encouraged to be active participants in identifying opportunities for improvements to customer experience, workplace conditions, and internal tools.
- Work with finance & operations leadership team to develop, support manage the annual expense budget and build collaborative relationships with partner organizations.
- Responsible for creating a coaching culture across the site where formal and informal coaching opportunities are availed of
- Foster a work environment that respects and is responsive to the needs of a diverse staff
- Achieve site-wide improvements in Operations, Quality, Productivity, Cost, Customer experience and People metrics.
- Build partnerships with internal and external teams to collaborate and drive measurable improvements in areas that cause customer pain and data associate frustration.
- Improve the experience of the data associates & managers as measured by improvements in attrition and employee engagement surveys.
- Work with Operations Engineering leadership / Engineering managers to clearly articulate feature requirements for associate tool sets, user interfaces, and business logic for the efficient handling of work volumes.
A day in the life
Ops Manager is accountable for the overall direction and operations of Cambridge site, creating a culture of customer obsession, high performance and high quality throughput. With operations managers and team managers as direct reports this role enables the achievement of service levels, performance & cost goals and successful program implementation.
You work in an ever-changing environment where every day brings ambiguously defined problems, new challenges and new opportunities. You are able to balance strategic thinking with detailed execution and solid cross-functional collaborative results-oriented work.
This position involves regular communication with senior management on project status and risks. People Management, cross-team coordination, project management and executive presentation skills are essential.
About the team
We are building the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services. ADS' mission is to provide high-quality labelled data for machine learning (ML) technologies.
Basic Qualifications
- Bachelor's degree in Engineering, Science, Supply Chain, or Operations related fields
- Experience with people management and operations leadership
- Experience in a management role in a technical/customer service/data operations environment
- Experience of creating and contributing to strategic planning processes
- Experience in managing cost center
- Experience in leading large teams to high levels of performance
- Experience in developing future leaders and creating tailored succession plans
- Experience as a project owner / sponsor for strategic step change initiatives and enabling innovative thinking in project teams
- Experience working on MS Excel, analysing data and presenting to senior management
Preferred Qualifications
- Master's degree
- Experience in leading speech data operations
- Exhibits excellent judgment
- Demonstrated passion and obsession for customers while maintaining a lean, highly productive operation
- Experience hiring and developing great people/leaders
- Experience in building a culture of empowerment, accountability and continuous improvement
- Has relentlessly high standards
- Proven ability to think strategically, but stay on top of tactical execution
- Expects and requires innovation of her/his team and creates an environment that fosters creative thinking
- Excellent verbal and written communication skills across all organizational levels
- Proven ability to make and implement decisions
- Degree in management or linguistics field desirable
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

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, stricly 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.
This is a Fixed term contract.
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.
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 German and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of German and 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

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, stricly 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.
This is a Fixed term contract.
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.
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 German and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of German and 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

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, stricly 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.
This is a Fixed term contract.
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.
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 German and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of German and 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

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.
Note: This position is for part-time employment.
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 operates on a part-time, Monday through Friday schedule, working from our office. 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