

Share
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 AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
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.- 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 improvementsA 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.
- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup.
- 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
- 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
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.-based culture, society, and norms.
- Comfortable with high-school level STEM*
- 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
These jobs might be a good fit

Share
Key job responsibilities
The Senior BIE EU negotiations will be responsible for:
· Building recommendations and insights on negotiations opportunities, driving goal setting for our annual plans.
· Driving insights and recommendations on our complex incentives strategy.
· Championing data and metrics instrumentation to drive our EU negotiation program.
· Driving development of tools, reporting improvements, and automation, and creating new innovative and insightful reports.
· Supporting the business team with ad hoc data requests and analytical needs.
- Experience managing, analyzing and communicating results to senior leadership
These jobs might be a good fit

Share
Key job responsibilities
The Senior BIE EU negotiations will be responsible for:
· Building recommendations and insights on negotiations opportunities, driving goal setting for our annual plans.
· Driving insights and recommendations on our complex incentives strategy.
· Championing data and metrics instrumentation to drive our EU negotiation program.
· Driving development of tools, reporting improvements, and automation, and creating new innovative and insightful reports.
· Supporting the business team with ad hoc data requests and analytical needs.
- Experience managing, analyzing and communicating results to senior leadership
These jobs might be a good fit

Share
To be successful in this role, you'll need to be an excellent developer of tech talent, a committed relationship manager with customers, a diligent prioritizer, a top-notch communicator (written and verbal), and a creative problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations.Key job responsibilities
In this position you will:
- Consult with customers and help understand their requirements and priorities- Communicate with and support various internal stakeholders and external audiences
- Work with AWS products including Redshift, Airflow, QuickSight, Lambda, and GenAI products like AWS BedrockA day in the life
- Knowledge of product experimentation (A/B testing)
- Knowledge of a scripting language (Python, R, etc.)
These jobs might be a good fit

Share
Key job responsibilities
• Gather and translate business requirements into scalable products.
• Develop complex automated data products including dashboards, reports and self-service.
• Define the data architecture and mechanisms to optimize the functions of the team.
• Actively mentor junior BIE colleagues on trends, technologies, and best practices.
- Experience managing, analyzing and communicating results to senior leadership
These jobs might be a good fit

Share
Key job responsibilities
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- Experience leading teams in implementing Generative AI/LLM solutions, including understanding of responsible AI practices, prompt engineering, and integration of large language models into production systems.
These jobs might be a good fit

Share
Key job responsibilities
As a Business Intelligence Engineer, you will enable the creation of products that drive ever-greater automation, scale-ability and optimization of every aspect of consolidation, lowering cost and delivering speed of execution for our customers. You will also identify opportunities and implement changes to improve network’s performance, simplify processes, and leverage existing resources.Key job responsibilities
Key job responsibilities
• Design and develop tools to automate standardized processes and optimize trade-offs across the full decision space.
• Develop relationships with internal and external partner teams to enrich our collection of data.
• Take the lead on the design, implementation, and delivery of large-scale data solutions that have a long-term impact on our mid- and long-term strategic planning.
• Analyze historical data to identify trends and support decision making.
• Identify and tackle intrinsically hard problems. Deliver artifacts that set the standard in your organization for business intelligence excellence, from designs to data models to implementations.
• Improve upon existing methodologies by developing new data sources or architecture enhancements.
• Actively participate in design reviews, aligning teams across your organization towards coherent architectural strategies.
• Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
• Collaborate with multiple teams and have cross-team impact.
• Research and benchmark our technology against other competing software in the industry.
• Actively mentor junior BIE colleagues on trends, technologies, and best practices.
- Experience managing, analyzing and communicating results to senior leadership
These jobs might be a good fit

Share
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 AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
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.- 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 improvementsA 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.
- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup.
- 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
- 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
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.-based culture, society, and norms.
- Comfortable with high-school level STEM*
- 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
These jobs might be a good fit