1271 Annotation Jobs - Page 47

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 AGI's Large Language Models' (LLMs) capabilities. 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 improvements 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of 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 (C2 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 Experience with creating complex data for LLM training and evaluation 1+ year(s) of 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A2973312 Show more Show less

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 AGI's Large Language Models' (LLMs) capabilities. 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 improvements 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of 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 (C2 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 Experience with creating complex data for LLM training and evaluation 1+ year(s) of 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A2973273 Show more Show less

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 AGI's Large Language Models' (LLMs) capabilities. 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 improvements 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of 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 (C2 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 Experience with creating complex data for LLM training and evaluation 1+ year(s) of 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A2973306 Show more Show less

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 AGI's Large Language Models' (LLMs) capabilities. 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 improvements 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of 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 (C2 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 Experience with creating complex data for LLM training and evaluation 1+ year(s) of 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A2973315 Show more Show less

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 AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. 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, 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 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of 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 (C2 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 Experience with creating complex data for LLM training and evaluation 1+ year(s) of 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A2973334 Show more Show less

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 AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. 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, 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 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of 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 (C2 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 Experience with creating complex data for LLM training and evaluation 1+ year(s) of 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A2973329 Show more Show less

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 AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. 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, 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 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of 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 (C2 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 Experience with creating complex data for LLM training and evaluation 1+ year(s) of 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A2973295 Show more Show less

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 AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. 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, 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 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of 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 (C2 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 Experience with creating complex data for LLM training and evaluation 1+ year(s) of 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A2973285 Show more Show less

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 AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. 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, 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 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of 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 (C2 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 Experience with creating complex data for LLM training and evaluation 1+ year(s) of 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A2973288 Show more Show less

**NOTE-This role is an office-based role in Pune** Client Profile A leading AI platform designed for law firms, combining advanced technology with deep legal expertise to deliver impactful data-driven outcomes. The platform offers human-level accuracy in analyzing complex legal data, enabling firms to quickly access critical insights when needed most. Trusted by top litigation lawyers, it has supported over $1 billion in settlements, including courtroom successes, and is reshaping the future of legal practice. About the Role We’re seeking a detail-oriented and tech-curious healthcare professional to join our growing team as a Medical Documentation Reviewer (Medical AI) . In this role, you'll play a critical part in building accurate, high-quality datasets that power next-generation AI tools in healthcare . If you have a clinical background and are excited to work at the intersection of medicine and technology, this role is for you. Key Responsibilities Clinical Data Annotation - Use your healthcare expertise to annotate and label electronic health records, clinical notes, discharge summaries, and trial documentation with precision and care. Quality Assurance - Ensure accuracy, consistency, and adherence to protocols across all annotations. Provide feedback and perform peer reviews to maintain high data standards. Process Improvement - Collaborate with team leads to refine annotation guidelines, improve workflows, and implement process enhancements for greater efficiency. AI Tools & Technology - Work with advanced annotation tools (e.g., Doccano) and EHR systems (e.g., Epic, Cerner). Basic understanding of SQL or data querying is a bonus. Qualifications & Experience 2+ year of experience in US healthcare. BDS, B.Pharm/M.Pharm, or other healthcare-related field. Proficiency in English (verbal and written). Hands-on experience with annotation tools and EHR platforms. Familiarity with Microsoft Office, Google Workspace. Why Join Us? As a Series-A startup, joining us means becoming a vital contributor to our success, where your ideas and efforts will directly shape our products, company culture, and long-term vision. We’re in an exciting phase of scaling, presenting opportunities for both company and career growth as we expand our market presence and develop new features and services. Job Type: Full-time Pay: ₹ 5.00 - ₹8.50 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: Erandawane, Pune Job Types: Full-time, Permanent Pay: ₹40,000.00 - ₹72,000.00 per month Benefits: Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Erandwane, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is the notice period? How many years of experience in US Healthcare? Work Location: In person

- 3+ years of program or project management experience - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience using data and metrics to determine and drive improvements - Experience working cross functionally with tech and non-tech teams - Experience identifying and resolving complex issues Hundreds of millions of customers. Billions of products for sale. Billions of queries and billions of dollars in revenue. The scale and impact of Amazon Search is huge. The Amazon Search team creates powerful, customer-focused search solutions and technologies. Amazon's Metrics, Insights and Data Annotation for Search team is looking for a program manager. Our mission is to deliver high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers’ expectations. We own delivering the data labeling process improvements and automation requirements towards our vision. Expectations from this role is to spearhead some of our human annotation projects as the central point of contact, collaborating closely with Science teams, Language Engineers, and our Quality and Operations teams to deliver top-tier data that fuels search accuracy. You'll lead multiple projects with varying cadences, managing them end-to-end within budget, and contribute to optimizing the broader MIDAS team's annotation program. Key job responsibilities Responsibilities include: 1) create and maintain project lifecycle artifacts, 2) manage timelines for projects by identifying risks and mitigations, 3) identify annotators workforce needs (3P vs internal), 4) own the 3P vendor budget tracking for their programs, 5) own the vendor management processes, 6) ensure timely handoffs across teams, 7) ensure data quality standards are met. Additionally, our program managers own the annual intake process of labeling requests from all existing partner teams in Search. Key job responsibilities: * Define program requirements and drive partners to meet goals. * Manage operations of the projects, including schedule, budget, logistics, and resource planning. * Partner closely with cross-functional stakeholder teams to develop project specifications. * Manage multiple projects at one time and prioritize as necessary. * Continuously evaluate data tools and processes and offer solutions to ensure they are efficient and scalable. * Communicate ideas effectively, verbally and in writing, to a wide range of audiences including Directors and VPs. * Foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues (build consensus). * Proactively identify risks and bring them to the attention of your team and stakeholders with plans for mitigation before they become roadblocks. A day in the life Strategic Collaboration with Science Teams: Partner with Science teams to define requirements for both ongoing and prospective human annotation projects. Operational Oversight & Status Management: Maintain real-time awareness of project status by regularly syncing with the Operations team. Quality Assurance & Process Deployment: Consistent application of quality processes across all active projects. Financial review: Track program budgets, identifying opportunities for efficiency and ensuring adherence to financial plans. Stakeholder Communication: Drive clear and concise communication with leadership, providing timely updates on program. Cross-Functional Engagement & Strategy Development: Engage with diverse cross-functional teams to manage current projects and future program strategies. About the team We are the MIDAS team (Amazon's Metrics, Insights and Data Annotation for Search). Our mission is to deliver high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers’ expectations. We own delivering the data labeling process improvements and automation requirements towards our vision. 3+ years of driving end to end delivery, and communicating results to senior leadership experience 3+ years of driving process improvements experience Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization Experience building processes, project management, and schedules Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Description Business: Piramal Critical Care Department: Regulatory Affairs Location: Kurla Travel: Low Job Overview Responsible for all artworks and labeling components of Piramal Critical Care Products Worldwide with adherence to the labeling processes, ensuring compliance with innovator labeling, internal & external partners, and GMP standards and specifications. Participate in a cross-functional team environment as necessary to ensure labeling documents and associated change requests are medically and scientifically accurate and that they comply with regulatory standards, meet company needs and accurately assess current strategy and global regulations Key Stakeholders: Internal Cross-Functional: Sales, Marketing, Manufacturing, Supply Chain, Medical Affairs, Quality Assurance, Quality Control, Pharmacovigilance, Planning, Project Management, Senior Leadership team Key Stakeholders: External Country Distributors, Health Authority (HA), CMOs and external partners Reporting Structure Reports to: Manager – Labelling Essential Qualification Bachelor’ degree or Master’s degree in Pharmaceutical sciences or equivalent Experience 4 years relevant regulatory experience (Global experience including US, EU and major Rest of World markets preferred) Roles And Responsibilities Global labeling details (labels, cartons, package inserts, patient package inserts) to ensure quality and accurate compliance, evaluations, maintenance, reviews and approvals with cross-functional teams for regulatory submissions Preparation of Labelling related documents ex: SmPC, PIL and Labelling texts for submission in EU region. Coordinating with the different stakeholders for timely labeling related submission/approval and query solving. Proofreading all types of label copy/annotation/etc. at all developmental stages as well as final label copy to ensure accuracy of labeling Creation of SPL for US Human and Vet product submissions, drug listing, annual establishment registration and annual self-identification for GDUFA Monitor and process innovator-labeling updates for existing generic products and ensure compliance with innovator updates, including side-by-side comparison with RLDs Responsible for coordination of CCDS development and updates of PCC products and coordination of local labeling updates Contribute to the development and/or review of all labeling aspects included in Promotional Material. Development and maintenance of a central repository for all labeling components Competencies Must have solid interpersonal and organization skills for interfacing with others. Knowledge of Health Authority labeling regulations and requirements. Self-directed, motivated, organized, flexible and accountable. Excellent work ethic with a positive, can-do attitude to succeed in a fast-paced environment. Project management skills is a plus About Us In the three decades of its existence, Piramal Group has pursued a twin strategy of both organic and inorganic growth. Driven by its core values, Piramal Group steadfastly pursues inclusive growth, while adhering to ethical and values-driven practices. Equal employment opportunity Piramal Group is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, ethnicity, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetics, or other applicable legally protected characteristics. We base our employment decisions on merit considering qualifications, skills, performance, and achievements. We endeavor to ensure that all applicants and employees receive equal opportunity in personnel matters, including recruitment, selection, training, placement, promotion, demotion, compensation and benefits, transfers, terminations, and working conditions, including reasonable accommodation for qualified individuals with disabilities as well as individuals with needs related to their religious observance or practice. About The Team Piramal Critical Care (PCC), under Piramal Pharma Limited (PPL), a subsidiary of Piramal Enterprises Limited, is the third largest producer of Inhaled Anaesthetics and a global player in hospital generics. Motivated by its vision to deliver critical care solutions for patients and healthcare providers across the globe, PCC is committed to enabling sustainable and profitable growth for all its stakeholders. PCC maintains a wide presence across the USA, Europe and more than 100 countries across the globe. Its rich product portfolio includes Inhalation Anaesthetics such as Sevoflurane, Isoflurane and Halothane as well as Intrathecal Baclofen therapy, for spasticity management. PCC has wholly-owned, state-of-the-art manufacturing facilities in the US and India that have successfully cleared periodical inspections by the US FDA, UK MHRA and other regulators. Its core strength lies in a highly qualified global workforce of more than 400 employees across 16 countries. PCC is focused on further expanding its global footprint through new product additions in the critical care space. Committed to corporate social responsibility alongside Piramal Group, PCC collaborates with various partner organizations and proudly takes an active role in providing hope and resources to those in need, as well as caring for the environment. Show more Show less

Senior Machine Learning Engineer (AI-Powered Software Platform for Hidden Physical-Threat Detection & Real-Time Intelligence) About the Company: Aerobotics7 (A7) is a mission-driven deep-tech startup focused on developing a UAV-based next-gen sensing and advanced AI platform to detect, identify, and mitigate hidden threats like landmines, UXOs, and IEDs in real-time. We are embarking on a rapid development phase, creating innovative solutions leveraging cutting-edge technologies. Our dynamic team is committed to building impactful products through continuous learning, and close cross-collaboration. Position Overview: We are seeking a Senior Machine Learning Engineer with a strong research orientation to join our team. This role will focus on developing and refining proprietary machine learning models for drone-based landmine detection and mitigation. The ideal candidate will design, develop, and optimize advanced ML workflows with an emphasis on rigorous research, novel model development, and experimental validation in deep learning, multi-modal/sensor fusion and computer vision applications. Key Responsibilities: Lead the end-to-end AI model development process, including research, experimentation, design, and implementation. Architect, train, and deploy deep learning models on cloud (GCP) and edge devices, ensuring real-time performance. Develop and optimize multi-modal ML/DL models integrating multiple sensor inputs. Implement and fine-tune CNNs, Vision Transformers (ViTs), and other deep-learning architectures. Design and improve sensor fusion techniques for enhanced perception and decision-making. Optimize AI inference for low-latency and high-efficiency deployment on production. Cross-collaborate with software and hardware teams to integrate AI solutions into mission-critical applications. Develop scalable pipelines for model training, validation, and continuous improvement. Ensure robustness, interpretability, and security of AI models in deployment. Required Skills: • Strong expertise in deep learning frameworks (TensorFlow, PyTorch). • Experience with CNNs, ViTs, and other DL architectures. • Hands-on experience in multi-modal ML and sensor fusion techniques. • Proficiency in cloud-based AI model deployment (GCP experience preferred). • Experience with edge AI optimization (NVIDIA Jetson, TensorRT, OpenVINO). • Strong knowledge of data preprocessing, augmentation, and synthetic data generation. • Proficiency in model quantization, pruning, and optimization for real-time applications. • Familiarity with computer vision, object detection, and real-time inference techniques. • Ability to work with limited datasets, including generating synthetic data (VAEs or s similar), data annotation and augmentation strategies. • Strong coding skills in Python and C++ with experience in high-performance computing. Preferred Qualifications: • Experience: 2-4+ Years. • Experience with MLOps, including CI/CD pipelines, model versioning, and monitoring. • Knowledge of reinforcement learning techniques. • Experience in working in fast-paced startup environments. • Prior experience working on AI-driven autonomous systems, robotics, or UAVs. • Understanding of embedded systems and hardware acceleration for AI workloads. Benefits: NOTE: THIS ROLE IS UNDER AEROBOTICS7 INVENTIONS PVT. LTD., AN INDIAN ENTITY. IT IS A REMOTE INDIA-BASED ROLE WITH COMPENSATION ALIGNED TO INDIAN MARKET STANDARDS. WHILE OUR PARENT COMPANY IS US-BASED, THIS POSITION IS FOR CANDIDATES RESIDING AND WORKING IN INDIA. Competitive startup-level salary and comprehensive benefits package. Future opportunity for equity options in the company. Opportunity to work on impactful, cutting-edge technology in a collaborative startup environment. Professional growth with extensive learning and career development opportunities. Direct contribution to tangible, real-world impact. How to Apply: Interested candidates are encouraged to submit their resume along with an (optional) cover letter highlighting their relevant experience and passion for working in a dynamic startup environment. For any questions or further information, feel free to reach out to us directly by emailing us at careers@aerobotics7.com. Show more Show less

Join Preventai – Help Build the Future of AI-Powered Surveillance Position: Data Annotator (Part-Time / Remote / Entry-Level or Experienced) Location: Remote (Worldwide) At Preventai, we’re redefining how retail theft is detected. Our AI-driven video analytics platform integrates seamlessly with existing surveillance infrastructure to deliver real-time alerts and actionable intelligence. As we scale, we are expanding our dataset with high-quality, behavior-tagged video content — and that’s where you come in. We’re hiring Data Annotators to support the development of our machine learning models. This is a unique opportunity to be part of a precision-critical pipeline in one of Sweden’s fastest-growing AI startups. ⸻ What You’ll Do: You will work with 30-minute surveillance-style video clips and perform the following tasks: • Time-Based Activity Annotation: Segment and label theft vs normal activity in 10-second intervals. • Individual Behavior Labelling: Trim irrelevant scenes and filter out bystanders, focusing on accurately tagging actions of interest. • Context Awareness: Evaluate behavior within real retail scenarios and assign meaningful labels that help our AI systems learn. ⸻ Who You Are: • Sharp eye for behavioral detail and scene context. • Comfortable working independently and meeting clear annotation targets. • Reliable, focused, and comfortable doing repetitive work with precision. • Bonus if you have: • Exposure to Machine Learning or Computer Vision concepts. • Prior experience with video annotation tools or labeling platforms. ⸻ Why Join Preventai? • Be part of an applied AI project that has real impact in the physical world. • Fully remote work with flexible scheduling. • Clear training and task documentation provided. • Potential to grow with us in more technical or supervisory roles over time. ⸻ Want to Stand Out? Applicants who include a short personal message telling us about themselves and why they’re interested in this role will be prioritized for immediate onboarding. Apply directly here on LinkedIn or send your CV and note to: stellan@inframotionlabs.com Show more Show less

About the Company We are seeking a strategic and research-driven Senior Data Scientist to join our global data team. This role is designed for an intellectually curious and impact-oriented individual contributor who can transform deep research into production-grade, real-world solutions—ranging from predictive modeling for hurricane forecasting to optimization in the medical device space. You will also have opportunities to contribute to advanced AI research, including LLMs and generative models. About the Role This role is designed for an intellectually curious and impact-oriented individual contributor who can transform deep research into production-grade, real-world solutions. Responsibilities Conduct applied research and develop data science solutions for high-impact, real-world problems. Design and implement data-centric evaluations to improve model outcomes and benchmark relevance. Collaborate with cross-functional teams (data ops, research, engineering) to align priorities on data quality, modeling, and infrastructure. Contribute to building or enhancing task taxonomies and scalable QA systems to improve training data signals. Translate research outcomes into business value by driving measurable performance improvements. Stay abreast of generative AI trends and their implications for data utility, model benchmarking, and downstream performance. Qualifications Education: Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Physics, or related analytical disciplines. Experience: 5–10 years of industry experience in data science or applied machine learning (exceptional candidates with PhDs or track record of publications). Prior experience in startup environments or big tech is highly desirable. Proven track record in developing production-level solutions and delivering measurable impact from research. Required Skills Advanced programming in Python (non-negotiable). Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow). Strong grasp of machine learning concepts and familiarity with LLMs. Experience with GCP, LLM fine-tuning, and feedback-driven data annotation processes preferred. Ability to design and interpret benchmarks and evaluation metrics with a strategic mindset. Preferred Skills Strong mathematical and analytical foundations. Deep intellectual curiosity and hunger for innovation. Self-driven and capable of owning the full research-to-deployment cycle. Strategic thinker who connects data science to business value and delivery performance. Flexibility to adapt to domain-specific tools and platforms (e.g., cloud infra, annotation pipelines). Show more Show less

About Us Livspace is Asia’s largest and fastest-growing omnichannel home interiors and renovation platform. Using its proprietary technology, Livspace provides a one-stop renovation solution for homeowners—from design to managed last mile fulfillment for all rooms in a home. The platform has organized a fragmented industry, bringing together designers, brands, manufacturers, and contractors to enable an eCommerce-like trusted, and predictable experience. The company launched operations in Bengaluru, India in 2015. Since its inception, Livspace has organized a fragmented industry, bringing together a curated community of designers, brands, manufacturers and contractors. This has resulted in an e-commerce-like trusted and predictable experience for the homeowners. Livspace boasts of a community of 50000+ satisfied customers and over 2000 interior designers. The company is already the largest employer of interior designers in the country. Livspace currently serves Singapore, Malaysia, Saudi Arabia as well as 30 metro and non-metro areas in India including - Bengaluru, Chennai, Delhi, Noida, Gurgaon, Mumbai, Thane, Pune, Hyderabad, Kolkata, Ahmedabad, Kochi, Jaipur, Lucknow, Indore, Surat, Coimbatore, Mysore, Mangalore, Vizag, Vijayawada. Livspace has showcased phenomenal growth since its launch, having delivered over 125,000 rooms and selling over 7.5 million SKUs through its platform. The company also delivered 50,000 homes across all our serviceable locations. The founders - Anuj Srivastava and Ramakant Sharma are former Google and Myntra executives respectively, who are seasoned entrepreneurs and successful angel investors. Livspace’s leadership team combines world-class talent and entrepreneurial experience gathered at some of the best companies in the world. Livspace has raised around USD 450 million in capital from some of the top global investors including KKR, Ingka Group Investments (part of largest IKEA retailer Ingka Group), TPG Growth, Goldman Sachs, Kharis Capital, Venturi Partners, FFP (Peugeot Group’s Holding Company), EDBI, Bessemer Venture Partners, Jungle Ventures, Helion Ventures and UC-RNT. For more information, please visit: "https://www.livspace.com/" Job Description As a Design Associate, you will be required to understand the Clients's KWS requirement and specs from the Designer over a call or F2F briefing / meetings. You will need to understand all KWS modules and technical specs in Livspace KWS category. Prepare plan, Wall to Wall elevation with complete detailing on AutoCAD for Kitchen, Wardrobe and Storages. Prepare all EPT and Granite detailings for Kitchen, Wardrobe and Storages. Prepare the KWS BOQ on Livspace Design tool [ CANVAS ] Prepare coordinated KWS design docket wrt the BOQ with correct annotation and detailing. Should use a standard drawing template as specified by the Central Team. Should be able to understand the changes / errors pointed out by the Validation Team and incorporate the same in the Design docket. Should adhere to the SLA and the Quality standards of the output. Attend the Trainings for the new module introduced by the Category Team and keep yourselves updated. Job Requirement Strong AutoCAD skills are a must. Diploma / Degree in Architecture or Interior Design [ will be an added advantage ] Experience 1 to 6 years Previous experience as a Kitchen Designer or Design Associate or in a similar role. Experience in Turnkey Residential Interiors Knowledge or experience in preparations of False Ceiling or Reflected Ceiling Plan Layouts. Knowledge or experience in preparation of Carpentry Storage Drawings Knowledge or experience in preparation of Electrical Drawings. Must be a quick learner. Attention to detail with great team player skills. Show more Show less

Role Summary: A prominent U.S.-based client is seeking talented copywriters and content specialists to develop clear, compelling storyboards and precise video annotations. You'll create impactful narratives for short-form (around 1 minute) and medium-length (~5 minutes) videos, ensuring the content is engaging, accurate, and meets high editorial standards. Responsibilities: Develop visually engaging storyboards from provided briefs and visuals. Annotate videos accurately with concise, context-sensitive captions. Conduct reviews of annotations to ensure accuracy, consistency, and adherence to editorial standards. Provide clear, constructive feedback to enhance the quality of content produced by other team members. Collaborate closely with the client’s editorial and content teams to achieve excellence. Requirements: Bachelor's degree in Communications, Journalism, Literature, Arts, Engineering, or related fields. Excellent proficiency in English writing, editing, and comprehension. Strong creative and analytical thinking skills. High accuracy and attention to detail. Ability to visualize and convey concepts effectively. Familiarity with AI video annotation and editing tools (Midjourney, Sora, Runway) is desirable. Benefits of Joining: Opportunity to work with top-tier industry professionals. Fully remote, flexible contract position. Competitive international-level compensation in USD. Contribute directly to groundbreaking AI technologies impacting diverse industries. Note: Applicants may be asked to complete an assessment as part of the hiring process. Show more Show less

Designation Civil Engineer- AutoCAD Full Time Opportunity LocationMultiple : - Terrain modelling and surface water management projects and studies - Understanding of Storm Water Design and Hydrology - Knowledge of Data Shortcuts - Pressure and Gravity Pipe Network Design - Grading design using Corridor modelling - Production of drawings for construction purpose - Integrating Civil 3D output with another BIM software like Revit and Plant 3D - Proficiency also includes a strong understanding of Civil 3D Annotation styles and annotation tools, object and label styles, solid understanding of key objects such as Surfaces, Alignments, Profiles, - Profile Views, Surface Analyses and Volume Calculations, and a basic understanding of Feature Lines. - Implement innovative approach to reduce drawing production cost and hours. - Efficient use/plugins for integrating other applications (HEC-RAS, Storm CAD, Water/Sewer GEMS etc.) to generate drawings based on specific project requirement. - Ability to define problems, collect data, establish facts, and draw valid conclusions. - Attending client coordination and review meetings, preparing and presenting project status updates and supporting Project Lead/Team Lead in engineering-related tasks. - Implement Safety and Quality aspects into design. - Travel to abroad/other offices in India for project and assignments etc. Minimum Qualifications : - ME or BE in Civil/Environmental Engineering (Preferred) - Autodesk AutoCAD Civil 3D Certified Professional - Minimum 3+ years of relevant experience - Excellent written and oral communication skills - Independent player with high self-motivation This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Role Summary: A prominent U.S.-based client is seeking talented copywriters and content specialists to develop clear, compelling storyboards and precise video annotations. You'll create impactful narratives for short-form (around 1 minute) and medium-length (~5 minutes) videos, ensuring the content is engaging, accurate, and meets high editorial standards. Responsibilities: Develop visually engaging storyboards from provided briefs and visuals. Annotate videos accurately with concise, context-sensitive captions. Conduct reviews of annotations to ensure accuracy, consistency, and adherence to editorial standards. Provide clear, constructive feedback to enhance the quality of content produced by other team members. Collaborate closely with the client’s editorial and content teams to achieve excellence. Requirements: Bachelor's degree in Communications, Journalism, Literature, Arts, Engineering, or related fields. Excellent proficiency in English writing, editing, and comprehension. Strong creative and analytical thinking skills. High accuracy and attention to detail. Ability to visualize and convey concepts effectively. Familiarity with AI video annotation and editing tools (Midjourney, Sora, Runway) is desirable. Benefits of Joining: Opportunity to work with top-tier industry professionals. Fully remote, flexible contract position. Competitive international-level compensation in USD. Contribute directly to groundbreaking AI technologies impacting diverse industries. Note: Applicants may be asked to complete an assessment as part of the hiring process. Show more Show less

Role Summary: A prominent U.S.-based client is seeking talented copywriters and content specialists to develop clear, compelling storyboards and precise video annotations. You'll create impactful narratives for short-form (around 1 minute) and medium-length (~5 minutes) videos, ensuring the content is engaging, accurate, and meets high editorial standards. Responsibilities: Develop visually engaging storyboards from provided briefs and visuals. Annotate videos accurately with concise, context-sensitive captions. Conduct reviews of annotations to ensure accuracy, consistency, and adherence to editorial standards. Provide clear, constructive feedback to enhance the quality of content produced by other team members. Collaborate closely with the client’s editorial and content teams to achieve excellence. Requirements: Bachelor's degree in Communications, Journalism, Literature, Arts, Engineering, or related fields. Excellent proficiency in English writing, editing, and comprehension. Strong creative and analytical thinking skills. High accuracy and attention to detail. Ability to visualize and convey concepts effectively. Familiarity with AI video annotation and editing tools (Midjourney, Sora, Runway) is desirable. Benefits of Joining: Opportunity to work with top-tier industry professionals. Fully remote, flexible contract position. Competitive international-level compensation in USD. Contribute directly to groundbreaking AI technologies impacting diverse industries. Note: Applicants may be asked to complete an assessment as part of the hiring process. Show more Show less

Role Summary: A prominent U.S.-based client is seeking talented copywriters and content specialists to develop clear, compelling storyboards and precise video annotations. You'll create impactful narratives for short-form (around 1 minute) and medium-length (~5 minutes) videos, ensuring the content is engaging, accurate, and meets high editorial standards. Responsibilities: Develop visually engaging storyboards from provided briefs and visuals. Annotate videos accurately with concise, context-sensitive captions. Conduct reviews of annotations to ensure accuracy, consistency, and adherence to editorial standards. Provide clear, constructive feedback to enhance the quality of content produced by other team members. Collaborate closely with the client’s editorial and content teams to achieve excellence. Requirements: Bachelor's degree in Communications, Journalism, Literature, Arts, Engineering, or related fields. Excellent proficiency in English writing, editing, and comprehension. Strong creative and analytical thinking skills. High accuracy and attention to detail. Ability to visualize and convey concepts effectively. Familiarity with AI video annotation and editing tools (Midjourney, Sora, Runway) is desirable. Benefits of Joining: Opportunity to work with top-tier industry professionals. Fully remote, flexible contract position. Competitive international-level compensation in USD. Contribute directly to groundbreaking AI technologies impacting diverse industries. Note: Applicants may be asked to complete an assessment as part of the hiring process. Show more Show less

Role Summary: A prominent U.S.-based client is seeking talented copywriters and content specialists to develop clear, compelling storyboards and precise video annotations. You'll create impactful narratives for short-form (around 1 minute) and medium-length (~5 minutes) videos, ensuring the content is engaging, accurate, and meets high editorial standards. Responsibilities: Develop visually engaging storyboards from provided briefs and visuals. Annotate videos accurately with concise, context-sensitive captions. Conduct reviews of annotations to ensure accuracy, consistency, and adherence to editorial standards. Provide clear, constructive feedback to enhance the quality of content produced by other team members. Collaborate closely with the client’s editorial and content teams to achieve excellence. Requirements: Bachelor's degree in Communications, Journalism, Literature, Arts, Engineering, or related fields. Excellent proficiency in English writing, editing, and comprehension. Strong creative and analytical thinking skills. High accuracy and attention to detail. Ability to visualize and convey concepts effectively. Familiarity with AI video annotation and editing tools (Midjourney, Sora, Runway) is desirable. Benefits of Joining: Opportunity to work with top-tier industry professionals. Fully remote, flexible contract position. Competitive international-level compensation in USD. Contribute directly to groundbreaking AI technologies impacting diverse industries. Note: Applicants may be asked to complete an assessment as part of the hiring process. Show more Show less

Role Summary: A prominent U.S.-based client is seeking talented copywriters and content specialists to develop clear, compelling storyboards and precise video annotations. You'll create impactful narratives for short-form (around 1 minute) and medium-length (~5 minutes) videos, ensuring the content is engaging, accurate, and meets high editorial standards. Responsibilities: Develop visually engaging storyboards from provided briefs and visuals. Annotate videos accurately with concise, context-sensitive captions. Conduct reviews of annotations to ensure accuracy, consistency, and adherence to editorial standards. Provide clear, constructive feedback to enhance the quality of content produced by other team members. Collaborate closely with the client’s editorial and content teams to achieve excellence. Requirements: Bachelor's degree in Communications, Journalism, Literature, Arts, Engineering, or related fields. Excellent proficiency in English writing, editing, and comprehension. Strong creative and analytical thinking skills. High accuracy and attention to detail. Ability to visualize and convey concepts effectively. Familiarity with AI video annotation and editing tools (Midjourney, Sora, Runway) is desirable. Benefits of Joining: Opportunity to work with top-tier industry professionals. Fully remote, flexible contract position. Competitive international-level compensation in USD. Contribute directly to groundbreaking AI technologies impacting diverse industries. Note: Applicants may be asked to complete an assessment as part of the hiring process. Show more Show less

About the Role: A leading US-based AI company is seeking detail-oriented individuals passionate about mathematics and logic puzzles. In this role, you will create, evaluate, and refine puzzles to improve the accuracy and effectiveness of advanced AI models. Key Responsibilities: Solve and verify math and logic puzzles. Evaluate AI responses for accuracy and clarity. Annotate AI outputs with clear, constructive feedback. Identify unclear or incorrect data to enhance AI quality. Collaborate with the team for consistent standards. Track performance metrics like accuracy and task completion. Attend calibration sessions to maintain annotation consistency. Document best practices and support workflow improvements. Required Qualifications: Bachelor's degree in Mathematics, Physics, Computer Science, or related fields. Experience in teaching, research, or professional math/logic roles. Excellent communication skills for complex mathematical concepts. Proven analytical and problem-solving abilities. Strong knowledge in algebra, calculus, probability, discrete math, number theory, logic, algorithms, or game theory. Preferred Qualifications: Ph.D. in Mathematics, Physics, Statistics, or related fields. Experience creating educational content or puzzles. Familiarity with AI and Large Language Models (LLMs). Prior data annotation experience in math or logic contexts. Perks & Benefits: Work on cutting-edge AI and data projects impacting real-world use cases. 100% remote – work from anywhere. Contract role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global tech standards. Note: Shortlisted candidates may be invited to complete an assessment to demonstrate their skills. Show more Show less

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Note: Shortlisted candidates may be invited to complete an assessment to demonstrate their mathematical reasoning and problem-solving skills. Show more Show less