Company Detail

Job Openings

• 

  Senior Data Associate with Italian, Artificial General Intelligence  

  Evi Technologies Limited

  [fulltime] - Cambridge

  Posted: 14/01/2026

  Apply Now

  AI is the most transformational technology of our time, capable of tac... Read More

  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 looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!
  
  
  Key job responsibilities
  - Maintain and follow strict confidentiality as customer privacy is our biggest tenet
  - Work with a range of different types of data including but not limited to text, speech, image, and video
  - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software
  - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
  - Ability to make logical decisions while performing tasks even when provided information is ambiguous.
  - Eye for detail and ability to pivot from one category of requirement to another instantaneously.
  - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
  - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions
  - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
  - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
  - Demonstrate ownership in floor support to clarify internal queries during execution on need basis
  
  A day in the life
  We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.
  
  Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.
  
  
  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- An Associate’s Degree or related work experience
  - CEFR C1+ or equivalent fluency in Italian language
  - Written and spoken knowledge of English is essential (CEFR B2+)
  - Strong business writing skills with ability to create reports, proposals, and professional correspondence
  - Advanced reading comprehension with ability to analyze complex business documents
  - Developed analytical thinking and structured problem-solving capabilities
  - Strong ability to interpret and implement detailed instructions across various projects
  - Proficient research skills with experience gathering and synthesizing information from multiple sources
  - Proven attention to detail in managing complex tasks and documents
  PREFERRED QUALIFICATIONS- Bachelor's degree in a relevant field
  - Proven experience with demonstrated task execution ability
  - Proven capacity to leverage open-source resources effectively for comprehensive research purposes
  - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
  - Proven project coordination or management experience (for support functions teams)
  - Experience managing stakeholder relationships across departments
  - Advanced proficiency in Microsoft Office Suite and common business applications.
  
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• 

  Senior Training Specialist (German Language), AGI-DS  

  Evi Technologies Limited

  [parttime] - London

  Posted: 09/01/2026

  Apply Now

  The shift for this role is Mon-Fri 17:30-21:30AI is the most transform... Read More

  The shift for this role is Mon-Fri 17:30-21:30
  
  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 looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now. Do you want to be a part of it? Then read on!
  
  The Senior Training Specialist provides an exceptional learning experience, facilitating blended learning for the AGI-DS org. The role requires the ability to support planning, scheduling, coordination and execution of end-to-end training. The Senior Training Specialist will work closely with the Training Manager to track and drive completion of training reporting and task completion through the Learning Management System (LMS), and support Training Specialists to do the same. Senior Training Specialists also work to identify areas of improvement at a site level and to drive innovation within training approaches, with the goal to scale these innovations to the wider, global network.
  
  Key job responsibilities
  - Facilitate classroom training following the approved curriculum.
  - Actively work to maintain theoretical proficiency in assigned trainings. Maintain expertise in their current role by staying current on tools, process, procedures, and training techniques.
  - Manage the classroom to ensure an organized and productive learning environment for all trainees.
  - Evaluate trainee performance on a daily basis to identify opportunity areas and help improve performance accordingly.
  - Ensure trainee success by providing coaching & feedback during training and providing feedback to Training Manager on trainee engagement and performance.
  - Share batch-related observations with the respective Training Manager so that they can take corrective action.
  - Manage relevant tasks within the Learning Management System (LMS), such as enrolment and scheduling of learners & trainings, and troubleshoot any implementation issues.
  - Publish training reports as per the agreed standard/template.
  - Collect the feedback on the effectiveness of the training programs/modules/content through training surveys, ongoing observations or while taking the course(s) and shares it with the relevant stakeholders.
  - Communicate with the relevant stakeholders on the progress and needs of ongoing trainings.
  - Develop, maintain and document new processes to continuously improve training across the network.
  - Support the Training Manager with delegated tasks to drive training delivery across the team.
  BASIC QUALIFICATIONS- Bachelor’s degree or significant experience in education or related field
  - Proficiency in English verbal and written skills
  - Proficiency in German verbal and written skills
  - Learning/training experience and/or certification
  - Skilled in and can demonstrate experience with planning, creating, implementing, delivering and assessing various types of training
  - Communication skills for the purpose of knowledge transfer and skill development, including explaining technical topics to novices and collaborating with subject matter experts and managers
  - Excellent collaboration, coordination and organisation skills
  - Experience with one-to-many and one-to-one communication skills in both classroom and tutorial settings
  - Knowledge of adult learning and training practices
  - Experience working with remote teams
  - Competent user of Microsoft Office tools (Word, Excel and PowerPoint)
  - Experience leading and coordinating within a group of peers
  - Continuous improvement skills
  PREFERRED QUALIFICATIONS- Demonstrated working knowledge of eLearning development tools such as Captivate, Articulate Studio/Storyline, Camtasia, Adobe Photoshop/Illustrator, or Flash
  - Ability to use multiple learning methods and link appropriate methods with subject matter
  - Experience working with a globally-distributed management organization
  
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• 

  Senior Data Associate with German, Artificial General Intelligence  

  Evi Technologies Limited

  [fulltime] - Cambridge

  Posted: 30/12/2025

  Apply Now

  AI is the most transformational technology of our time, capable of tac... Read More

  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 looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!
  
  
  Key job responsibilities
  - Maintain and follow strict confidentiality as customer privacy is our biggest tenet
  - Work with a range of different types of data including but not limited to text, speech, image, and video
  - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software
  - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
  - Ability to make logical decisions while performing tasks even when provided information is ambiguous.
  - Eye for detail and ability to pivot from one category of requirement to another instantaneously.
  - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
  - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions
  - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
  - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
  - Demonstrate ownership in floor support to clarify internal queries during execution on need basis
  
  A day in the life
  We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.
  
  Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.
  
  
  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- An Associate’s Degree or related work experience
  - CEFR C1+ or equivalent fluency in German language
  - Written and spoken knowledge of English is essential (CEFR B2+)
  - Strong business writing skills with ability to create reports, proposals, and professional correspondence
  - Advanced reading comprehension with ability to analyze complex business documents
  - Developed analytical thinking and structured problem-solving capabilities
  - Strong ability to interpret and implement detailed instructions across various projects
  - Proficient research skills with experience gathering and synthesizing information from multiple sources
  - Proven attention to detail in managing complex tasks and documents
  PREFERRED QUALIFICATIONS- Bachelor’s degree in a relevant field
  - Proven experience with demonstrated task execution ability
  - Proven capacity to leverage open-source resources effectively for comprehensive research purposes
  - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
  - Proven project coordination or management experience (for support functions teams)
  - Experience managing stakeholder relationships across departments
  - Advanced proficiency in Microsoft Office Suite and common business applications.
  
  Read Less

  Apply Now
• 

  Senior Data Associate with Portuguese, Artificial General Intelligence  

  Evi Technologies Limited

  [fulltime] - London

  Posted: 30/12/2025

  Apply Now

  AI is the most transformational technology of our time, capable of tac... Read More

  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 looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!
  
  
  Key job responsibilities
  - Maintain and follow strict confidentiality as customer privacy is our biggest tenet
  - Work with a range of different types of data including but not limited to text, speech, image, and video
  - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software
  - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
  - Ability to make logical decisions while performing tasks even when provided information is ambiguous.
  - Eye for detail and ability to pivot from one category of requirement to another instantaneously.
  - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
  - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions
  - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
  - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
  - Demonstrate ownership in floor support to clarify internal queries during execution on need basis
  
  A day in the life
  We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.
  
  Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.
  
  
  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- Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup
  - Speak, write, and read fluently in English
  - C1+ or equivalent proficiency in Brazilian Portuguese
  - C1+ or equivalent proficiency in English
  - An Associate’s Degree or related work experience
  - Strong business writing skills with ability to create reports, proposals, and professional correspondence
  - Advanced reading comprehension with ability to analyze complex business documents
  - Developed analytical thinking and structured problem-solving capabilities
  - Strong ability to interpret and implement detailed instructions across various projects
  - Proficient research skills with experience gathering and synthesizing information from multiple sources
  - Proven attention to detail in managing complex tasks and documents
  PREFERRED QUALIFICATIONS- Proven experience with demonstrated task execution ability
  - Proven capacity to leverage open-source resources effectively for comprehensive research purposes
  - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
  - Proven project coordination or management experience (for support functions teams)
  - Experience managing stakeholder relationships across departments
  - Advanced proficiency in Microsoft Office Suite and common business applications.
  
  Read Less

  Apply Now
• 

  Software Dev Intern - Embedded Development (Linux)  

  Evi Technologies Limited

  [fulltime] - Cambridge

  Posted: 29/12/2025

  Apply Now

  Do you want to solve real customer problems through innovative technol... Read More

  Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide?
  At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.
  Our Software Development Engineer (SDE) interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.
  At Amazon, we believe in ownership at every level. As an SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.
  We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.
  
  Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
  
  
  Key job responsibilities
  •Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
  • Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
  • Participate in code reviews and contribute to technical documentation.
  • Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
  • Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
  • Write clean, maintainable code following best practices and design patterns.
  • Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
  • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
  
  
  A day in the life
  As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
  
  The team requires an internship duration of 3 to 6 months.
  
  In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.
  
  BASIC QUALIFICATIONS- Must be 18 years of age or older
  - Education Requirements (must meet one):
  - o Currently enrolled in Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields [degrees can be updated based on regional variations]
  - o Completed Bachelor's or Graduate degree in specified fields
  - Expected graduation between October 2026 - September 2029
  - Demonstrated experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
  PREFERRED QUALIFICATIONS- Previous technical internship(s) or demonstrated project experience
  - Experience with one or more of the following:
  - o AI tools for development productivity
  - o Cloud platforms (preferably AWS)
  - o Database systems (SQL and NoSQL)
  - o Contributing to open-source projects
  - o Version control systems
  - o Debugging and troubleshooting complex systems
  - Strong problem-solving and analytical skills
  - Excellent written and verbal communication skills
  - Demonstrated ability to learn and adapt to new technologies quickly
  - Basic understanding of software development lifecycle (SDLC)
  - Experience with Linux, System Integration, Networking, Operating Systems Kernels, Multi-threading, or Microprocessors and/or microcontrollers
  - Experience with C, C++, Embedded Development, Firmware, Device Driver, Linux, ARM, Bare-Metal, or Kernel
  - Experience with Linux: Firmware, Shell Scripting, Scripting Efficiency, or Linux, and C++.
  - Experience with Networking: C, Firmware, Hardware, Memory Management, Computer Architecture, Computer Architecture, or Operating Systems
  - Demonstrated experience one or more of the following:
  - o Data structures implementation
  - o Basic algorithm development
  - o Object-oriented design principles
  
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• 

  Data Solutions Lead, Data Collection Excellence  

  Evi Technologies Limited

  [fulltime] - Cambridge

  Posted: 18/12/2025

  Apply Now

  As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS... Read More

  As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them.
  
  Key job responsibilities
  Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements
  Coordinate across teams to ensure seamless delivery and stakeholder alignment
  Own relationships with customer scientists, becoming their go-to partner for ML data solutions
  Provide consultation on ML workflow capabilities, helping customers maximize value
  Monitor and optimize collection health metrics to ensure customer success
  Drive customer adoption through providing technical value and the provision of an exemplary customer experience.
  
  You'll also:
  Guide customers on workflow feasibility and data collection best practices
  Collaborate with implementation teams to define and validate technical requirements
  Evaluate scalability of annotation scenarios and provide strategic recommendations
  Influence technical documentation and guidelines
  BASIC QUALIFICATIONS- Demonstrated experience in effectively defining optimal data creation strategies and executing them
  - Associate's degree or equivalent work experience
  - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts
  - Outstanding customer communication and management skills, especially in technical consultation
  - Ability to translate complex technical concepts into tactical applications
  PREFERRED QUALIFICATIONS- Bachelor's degree in Business, Computer Science, or related field
  - Working knowledge of JSON, Command Line, and Python
  - Project management expertise
  - Technical account management experience
  - Background in customer success or solution consulting
  
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• 

  Data Quality Specialist, AGI Data Services - G T Quality  

  Evi Technologies Limited

  [fulltime] - Cambridge

  Posted: 18/12/2025

  Apply Now

  Quality Specialists play a vital role in establishing and maintaining... Read More

  Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.
  
  Key job responsibilities
  * Define and implement quality metrics for established workflows
  * Create prescriptive actions for quality issues
  * Partner with customers, operations and internal support teams to optimize workflow quality
  * Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements
  * Analyze data trends and develop solutions
  * Monitor quality performance and coach operations teams
  * Create and maintain quality metrics reports
  * Handle customer escalations and recommendations
  * Evaluate and suggest improvements for quality tools
  * Support process documentation and implementation
  BASIC QUALIFICATIONS- Bachelor's degree or equivalent
  - Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
  PREFERRED QUALIFICATIONS- Experience with strong project management skills and the ability to thrive in a fast-paced environment
  - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
  
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• 

  Language Engineer, Artificial General Intelligence - Data Services  

  Evi Technologies Limited

  [fulltime] - Cambridge

  Posted: 18/12/2025

  Apply Now

  The Amazon Artificial General Intelligence (AGI) Data Services organiz... Read More

  The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.
  
  You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.
  
  Key job responsibilities
  - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
  - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches
  - Analyze and extract insights from large amounts of data
  - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language
  - Use modeling tools to bootstrap or test new AI functionalities
  - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models
  
  About the team
  Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.
  BASIC QUALIFICATIONS- Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)
  - 2+ years experience in computational linguistics or language data processing or AI data creation
  - Experience with language data annotation systems and other forms of data markup
  - Proficient with scripting languages, such as Python
  - Experience working with speech, text, and multimodal data in multiple languages
  - Excellent communication, strong organizational skills and very detailed oriented
  - Comfortable working in a fast paced, highly collaborative, dynamic work environment
  PREFERRED QUALIFICATIONS- PhD in Computational Linguistics (or equivalent field with computational emphasis)
  - Expertise in bootstrapping AI data collections for quickly evolving requirements
  - Extensive experience working with speech, text, and multimodal data in multiple languages
  - Experience in data creation for complex agentic workflows
  - Practical experience with Machine Learning
  - Familiarity with technical concepts such as APIs
  - Practical knowledge of version control and agile development
  - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
  - Willingness to support several projects at one time, and to accept reprioritization as necessary
  - Able to think creatively and possess strong analytical and problem solving skills
  
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• 

  Senior Data Associate with German, Artificial General Intelligence  

  Evi Technologies Limited

  [fulltime] - London

  Posted: 05/11/2025

  Apply Now

  AI is the most transformational technology of our time, capable of tac... Read More

  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 looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!
  
  
  Key job responsibilities
  - Maintain and follow strict confidentiality as customer privacy is our biggest tenet
  - Work with a range of different types of data including but not limited to text, speech, image, and video
  - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software
  - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
  - Ability to make logical decisions while performing tasks even when provided information is ambiguous.
  - Eye for detail and ability to pivot from one category of requirement to another instantaneously.
  - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
  - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions
  - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
  - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
  - Demonstrate ownership in floor support to clarify internal queries during execution on need basis
  
  A day in the life
  We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.
  
  Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.
  
  
  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- An Associate’s Degree or related work experience
  - CEFR C1+ or equivalent fluency in German language
  - Written and spoken knowledge of English is essential (CEFR B2+)
  - Strong business writing skills with ability to create reports, proposals, and professional correspondence
  - Advanced reading comprehension with ability to analyze complex business documents
  - Developed analytical thinking and structured problem-solving capabilities
  - Strong ability to interpret and implement detailed instructions across various projects
  - Proficient research skills with experience gathering and synthesizing information from multiple sources
  - Proven attention to detail in managing complex tasks and documents
  PREFERRED QUALIFICATIONS- Bachelor’s degree in a relevant field
  - Proven experience with demonstrated task execution ability
  - Proven capacity to leverage open-source resources effectively for comprehensive research purposes
  - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
  - Proven project coordination or management experience (for support functions teams)
  - Experience managing stakeholder relationships across departments
  - Advanced proficiency in Microsoft Office Suite and common business applications.
  
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• 

  ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence  

  Evi Technologies Limited

  [temporary fulltime] - London

  Posted: 25/07/2025

  Apply Now

  Note: This is a position for a fixed-term contract.AI is the most tran... Read More

  Note: This is a position for a 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 looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!
  
  
  Key job responsibilities
  - Maintain and follow strict confidentiality as customer privacy is our biggest tenet
  - Work with a range of different types of data including but not limited to text, speech, image, and video
  - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software
  - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
  - Ability to make logical decisions while performing tasks even when provided information is ambiguous.
  - Eye for detail and ability to pivot from one category of requirement to another instantaneously.
  - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
  - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions
  - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
  - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
  - Demonstrate ownership in floor support to clarify internal queries during execution on need basis
  
  A day in the life
  We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.
  
  Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.
  
  
  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- An Associate’s Degree or related work experience
  - CEFR C1+ or equivalent fluency in German language
  - Written and spoken knowledge of English is essential (CEFR C1+)
  - Strong business writing skills with ability to create reports, proposals, and professional correspondence
  - Advanced reading comprehension with ability to analyze complex business documents
  - Developed analytical thinking and structured problem-solving capabilities
  - Strong ability to interpret and implement detailed instructions across various projects
  - Proficient research skills with experience gathering and synthesizing information from multiple sources
  - Proven attention to detail in managing complex tasks and documents
  PREFERRED QUALIFICATIONS- Bachelor’s degree in a relevant field
  - Proven experience with demonstrated task execution ability
  - Proven capacity to leverage open-source resources effectively for comprehensive research purposes
  - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
  - Proven project coordination or management experience (for support functions teams)
  - Experience managing stakeholder relationships across departments
  - Advanced proficiency in Microsoft Office Suite and common business applications.
  
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