About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNN’s and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision. Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Manager Compliance Analyst Process Overview Portfolio Compliance: Coding AM Guidelines team supports portfolio managers by updating Investment management mandates on Compliance platforms and monitoring alerts for Institutional client guidelines. Coding involves setting up client & compliance regulations in systems to enable effective monitoring of guidelines. Monitoring requires managing the alerts, breaches generated pre/ post trade as a result of trades/ non-trading actions and communicating effectively with various stakeholders. Description of Functions & Role Annotation/Interpretation of Investment management Agreement/Prospectus/ SAI / Delegate Sleeve Agreements Scheduling the Annotation meeting with Desk/IS/PDs to get their buy ins on Interpretation Coding client and regulatory rules on compliance platforms along with rule Testing & Standardization Counterparty and broker setups for trading & Counterparty maintenance. Leveraging Machine learning tools for standard rule setups Performing analytical review of Investment Guidelines provided by investors and institutions. Partner with various operations team to improve data availability and overall quality of underlying data. Review new data analytics and update compliance platforms Understand and setup rules as per ratings agencies Identification of coding issues. Maintenance of Legal & Compliance approved & restricted lists. Perform periodic reviews of account coding to ensure accuracy & consistency. Research ad-hoc queries from compliance reporting team to determine if client portfolio is in line with the investment guidelines Identifies and analyzes operations risks related to current and potential business and recommends procedural changes as needed Key Competencies & Skills Expert level skills trade compliance applications such as LZ Sentinel, Charles River, Aladdin (Compliance), SimCorp Dimension, ThinkFolio. Expertise of 1940 Act, UCITS Regulations or ERISA will be added advantage Analytical & Interpretation skills: Client agreement language needs interpretation and post trade compliance tests performed need data analysis skills. One needs to understand financial instruments which are being traded by Portfolio Managers to code guidelines or to perform secondary research. Detail Orientation: Function is critical from an impact perspective. Need eye for detail and there is zero tolerance to oversight mistakes. Understanding of Portfolio Management, Role of Portfolio Manager, Key aspects of Investment Management Certifications: Candidates pursuing FRM (Financial Risk Manager by GARP) / CFA (Chartered Financial Analyst) / CISI (Chartered Institute for Securities & Investment) are preferred, but certification is not a must for the role EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

The digital landscape is expanding at breakneck speed—a constant deluge of content from both human creators and AI systems floods our online spaces every moment. While forums, knowledge bases, community threads, and blogs form the essential fabric of digital platforms, they simultaneously present significant risks. Without proper oversight, these spaces can descend into disorder, damage brand reputation, or expose users to harmful content and misinformation. This challenge exceeds human-only solutions, yet AI alone isn't sophisticated enough to handle it—for now. Enter our revolutionary approach. We're pioneering a new frontier in content integrity by creating a symbiotic relationship between human discernment and generative AI capabilities. In our ecosystem, AI isn't relegated to assistant status or viewed as competition—it's a collaborative partner. Each member of our moderation team works in tandem with cutting-edge GenAI tools to evaluate, categorize, prioritize, and enhance content decisions with unprecedented efficiency. Your insights on complex cases and continuous feedback directly improve our AI systems, minimizing false positives and elevating the quality of automated moderation with each iteration. This position transcends traditional content moderation roles. You won't be trapped in an endless queue of manual reviews or function as a detached content police officer. Instead, your days will be spent in dynamic interaction with AI systems—making nuanced decisions, identifying emerging patterns, optimizing workflows, and ensuring quality content reaches its intended audience. If you find satisfaction in structured processes, enjoy resolving ambiguities, and appreciate operational excellence, this role offers you a command center for shaping the future landscape of digital content quality. You'll become part of a team dedicated to platform integrity and scalable operations. Your mission involves keeping our sophisticated systems running optimally: queue management, handling exceptional cases, data annotation for training purposes, and continuously refining feedback mechanisms. If you've leveraged tools like ChatGPT for practical tasks beyond creative exercises—specifically for information processing or classification—you're ready to take your skills to the next level with us. What You Will Be Doing Leverage advanced GenAI tools to evaluate and moderate both user-created and AI-generated content, upholding platform standards and fostering a secure, premium digital environment Orchestrate complex content workflows across multiple systems and teams, ensuring precise tracking, timely processing, and seamless transitions between stages Identify and document exceptional cases, create high-quality training datasets through annotation, and provide detailed, structured feedback to continuously enhance AI moderation accuracy and effectiveness What You Won’t Be Doing Monotonous content screening that involves mindlessly reviewing an endless stream of blog posts without strategic purpose Performing low-impact administrative tasks with minimal autonomy, simply processing items through a queue without meaningful contribution Basic Requirements AI Content Reviewer key responsibilities Minimum 1 year of professional work experience in any relevant field Demonstrated practical experience utilizing generative AI tools (such as ChatGPT, Claude, or Gemini) in professional settings, academic environments, or for significant personal productivity enhancement Exceptional English writing capabilities with clear communication skills About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $15 USD/hour, which equates to $30,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5593-IN-Hyderaba-AIContentRevie.003 Show more Show less

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript​: Deep object cloning, memory management, prototypal inheritanc ePython: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories Experience building and maintaining large-scale coding repositories Complete fluency in the English language Ability to articulate complex technical concepts clearly and engagingly Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing. If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise! Show more Show less

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video Our Founder/CEO, Gabe Greenberg, created an in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise! Show more Show less

Location: Remote & Contractual Position Salary: Upto 2 Lac per month Experience: 5+ YoE This role is for high-caliber backend engineer with deep proficiency in Python and a proven track record of building large systems at speed. This role focuses on implementing real-world services (e.g., Gmail, Jira) as modular APIs using a test-driven approach, with an emphasis on engineering excellence, crisp documentation, and robust database design. Please note: this is a software engineering role, not one in data annotation, data science, or analytics. What Does Day-to-day Look Like Implementing real-world services as modular, production-ready APIs Creating and maintaining excellent, developer-friendly documentation Following a strict Test Driven Development approach — tests first, code second Building at maximum velocity without compromising on reliability or maintainability Designing and iterating on scalable database schemas for each service integration Requirements 5+ years of experience with practical, production-grade Python Hands-on experience with Test Driven Development (TDD) Proven ability to build and scale large systems at high velocity Strong fundamentals in database schema design and data modeling Able to work at a rapid pace without sacrificing clarity or correctness [Bonus] Familiarity with LLM function calling protocols and paradigms Perks Of Freelancing With AquSag Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Show more Show less

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews Required Candidate profile - Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

About the Company We are seeking a highly skilled and experienced STA Methodology Engineer to join our CTO-DE-FDIP-Logic Libraries team. About the Role In this role, you will be responsible for benchmarking various logic libraries across multiple technology nodes (40nm, 14nm, 10nm, 7nm, 5nm) using synthesis and PNR-based flows on real-world chips and blocks. You will collaborate closely with Timing Methodology and Signoff teams to ensure robust and efficient STA methodologies. Responsibilities Benchmark logic libraries across advanced technology nodes using synthesis and PNR flows. Collaborate with cross-functional teams to validate and refine timing constraints. Develop and maintain benchmarking frameworks for constraint validation and STA methodology evaluation. Perform comprehensive STA including timing analysis, DRCs, annotation issues, multivoltage flow enablement, noise and crosstalk analysis using Logic Libraries Integration flow checks. Contribute to the development and automation of STA flows and methodologies. Qualifications Bachelor’s or Master’s degree in Electrical or Electronics Engineering. 10–12 years of hands-on experience in STA, with proven tape-out experience as a block owner or lead. Deep understanding of STA concepts, timing constraints, and closure methodologies at both block and SoC levels. Proficient in handling timing-related issues such as DRCs, annotation, multivoltage flows, noise, and crosstalk. Strong collaboration skills and ability to work across teams to drive methodology improvements. Required Skills Proficiency in Python scripting. Overview/understanding of AI/GenAI would be added advantage. Experience in developing or enhancing STA flow automation. Familiarity with industry-standard EDA tools and flows. Preferred Skills Self-motivated with a proactive approach to problem-solving. Strong communication and interpersonal skills. Ability to work independently and as part of a global team. Show more Show less

About AlphaSense The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 4,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! The Role AlphaSense is seeking a motivated and detail-oriented Associate Financial Analyst to play a key role in advancing the annotations and analysis of data for AI model training and in the evaluation of AI-based model outputs. The successful candidate will join a dynamic team of software experts, AI researchers, and product managers focused on developing next-generation Generative AI (GenAI) features for market intelligence. This role offers the opportunity to collaborate with financial analysts from diverse backgrounds, including sell-side research, management consulting, and data annotation, to provide essential insights that drive the company's GenAI strategies and contribute to the development of cutting-edge GenAI products. Note: This position requires a strong focus on the analysis of high-quality research reports and is distinct from traditional accounting or routine financial reporting functions. Responsibilities Analyse and interpret a variety of financial documents, including earnings calls, U.S. SEC and global filings, broker research reports, expert call transcripts, news, and regulatory content. Evaluate and rank language model outputs based on criteria such as comprehensiveness, factual accuracy, coverage, and fluency. Analyse customer usage patterns of the AlphaSense platform and data sources to identify opportunities for product enhancements and new AI model applications. Ensure the quality and consistency of data collection for AI model evaluation/training. Collaborate with Product Managers and AI Researchers to define data annotation guidelines and processes for various Generative AI projects. Apply hands on knowledge of a wide range of financial reports and documents. Demonstrate the ability to thoroughly review, comprehend, and synthesise information from diverse sources to extract key details and formulate actionable insights. Maintain a strong understanding of industry trends related to data annotation, AI ethics, and emerging technologies relevant to our AI offerings. Requirements Chartered Accountant (CA) certification or completion of all three levels of the CFA program. Demonstrates exceptional understanding of financial concepts and data. 1 to 2 years of relevant experience in financial analysis. Excellent written and verbal communication skills. Proven ability to collaborate effectively in a cross-functional environment and communicate clearly with both technical and non-technical stakeholders. Exceptional analytical and critical thinking skills, with the ability to synthesise complex information into clear insights and actionable recommendations. Strong project management skills, including problem-solving, time management, prioritisation, adaptability, research proficiency, and a commitment to quality management. Proficiency in workplace productivity tools, such as GSuite and MS Office. AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We At AlphaSense Have Been Made Aware Of Fraudulent Job Postings And Individuals Impersonating AlphaSense Recruiters. These Scams May Involve Fake Job Offers, Requests For Sensitive Personal Information, Or Demands For Payment. Please Note AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us. Show more Show less

Experience: 5-6 years Key Responsibilities Process, analyze, and interpret time-series data from MEMS sensors (e.g., accelerometers, gyroscopes, pressure sensors). Develop and apply statistical methods to identify trends, anomalies, and key performance metrics. Compute and optimize KPIs related to sensor performance, reliability, and drift analysis. Utilize MATLAB toolboxes (e.g., Data Cleaner, Ground Truth Labeler) or Python libraries for data validation, annotation, and anomaly detection. Clean, preprocess, and visualize large datasets to uncover actionable insights. Collaborate with hardware engineers, software developers, and product owners to support end-to-end data workflows. Convert and format data into standardized schemas for use in data pipelines and simulations. Generate automated reports and build dashboards using Power BI or Tableau. Document methodologies, processes, and findings in clear and concise technical reports. Required Qualifications Proficiency in Python or MATLAB for data analysis, visualization, and reporting. Strong foundation in time-series analysis , signal processing, and statistical modeling (e.g., autocorrelation, moving averages, seasonal decomposition). Experience working with MEMS sensors and sensor data acquisition systems. Hands-on experience with pandas, NumPy, SciPy, scikit-learn, and matplotlib . Ability to develop automated KPI reports and interactive dashboards (Power BI or Tableau). Preferred Qualifications Prior experience with data from smartphones, hearables, or wearable devices . Advanced knowledge in MEMS sensor data wrangling techniques. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Exposure to real-time data streaming and processing frameworks/toolboxes. Show more Show less

Job Title: Document AI Annotator (Invoices & Receipts), 3 months contractual, WFO, Immediate Joining, Graduate Mandatory Job Description: We are seeking detail-oriented annotators to support a Document AI project focused on labeling and annotating key fields in financial documents such as invoices, receipts, and bills. The role involves accurately tagging data fields (e.g., date, total amount, vendor name, tax) to help train AI models for automated document processing. Key Responsibilities:  Review and annotate invoices, receipts, and similar documents using annotation tools  Identify and label key data points (e.g., invoice number, total, tax, date, line items)  Ensure accuracy and consistency in annotations  Meet daily/weekly productivity and quality targets  Collaborate with QA and project leads for feedback and clarification Requirements:  Basic understanding of financial documents (invoices, receipts, etc.)  Strong attention to detail  Familiarity with annotation tools preferred(Bounding Box)  Ability to follow guidelines and adapt to feedback Job Types: Full-time, Contractual / Temporary Contract length: 3 months Pay: ₹10,000.00 - ₹11,000.00 per month Schedule: Rotational shift Work Location: In person

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: A2966261 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: A2966014 Show more Show less

Job Description Summary Perform inspection of digital inspection records (Videos/pictures) using best class tools available to take critical decision about the product quality. Act as customer inspector to perform inspection and verification of records and evidences to assure 100% Quality of product before approval. Job Description Key responsibilities include: Technical Support Provide first-line technical support to operations teams, addressing equipment and system issues promptly to minimize production downtime and coordinate with Supplier and IT Team. Troubleshooting Support in diagnosing/troubleshooting hardware and software-related issues in systems, equipment and infrastructure. System Optimization Identify opportunities to improve operational efficiency by optimizing processes, equipment performance, and system functionality. Documentation Maintain accurate records of all scans, analysis and repairs, ensuring compliance with quality standards. Create and maintain instruction of the inspection and analysis. Continuous Improvement Participate in continuous improvement initiatives, contributing ideas and implementing solutions to enhance operational performance. Collaboration Work closely with production, quality and IT teams to coordinate and implement technical solutions and upgrades. Training Provide technical training and guidance to crawler operations and annotation personnel to enhance their knowledge and skills. Incident Response Lead or participate in incident investigations, root cause analysis, and corrective actions to prevent recurrence of issues. Auditing Conduct a random audit for the analysis and ensure a same level of disposition across a plant. Quality Assurance Perform data Analysis of the Crawler Image and assuring process compliance before failure occurs. Operational Quality Perform data analysis accurately to secure Zero defect escapement and zero over processing. Provide on time analysis support and feedback to the plants for smooth operations in the plant. Drive improvements towards improving scanning methods and obtaining better quality data. Required Qualifications Technical associate degree or equivalent with minimum 8 years of blade manufacturing and minimum 5 years working with Quality inspections. Candidates with LM/GE Vernova blades inspections and level 2 or above certifications would add additional strength. International experience and cultural awareness covering Americas, Europe, Canada, India and China. Knowledge of blade manufacturing is preferable, combined with explicit knowledge on Quality tools, Systems and Processes, Audits, Control plans. Strong English language skill (verbal and writing). Flexible travelling across GEV business units for execution of job and support. Good with MS office tools such as Excel, Word and PPT. Desired Characteristics A person with a quality mindset and strong believer of data-oriented approach and continuous improvement. Able to demonstrate GE Vernova way and integrity values. A person with self-motivation and encourages others to take responsibility. Communication: Effectively communicate beyond own area at all levels. Initiates or improves the way to communicate, facilitate, negotiate resulting in increased impact and commitment. Decision making: Sets goals and regularly follow up on these goals. Takes decisions and monitors results. Additional Information Relocation Assistance Provided: Yes Show more Show less

Sanas is revolutionizing the way we communicate with the world’s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we’ve successfully secured over $100 million in funding. Our innovation have been supported by the industry’s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you’re not just adopting a product; you’re investing in the future of communication. We’re looking for a sharp, hands-on Data Engineer to help us build and scale the data infrastructure that powers cutting-edge audio and speech AI products. You’ll be responsible for designing robust pipelines, managing high-volume audio data, and enabling machine learning teams to access the right data — fast. As one of the first dedicated data engineers on the team, you'll play a foundational role in shaping how we handle data end-to-end, from ingestion to training-ready features. You'll work closely with ML engineers, research scientists, and product teams to ensure data is clean, accessible, and structured for experimentation and production. Key Responsibilities : Build scalable, fault-tolerant pipelines for ingesting, processing, and transforming large volumes of audio and metadata Design and maintain ETL workflows for training and evaluating ML models, using tools like Airflow or custom pipelines Collaborate with ML research scientists to make raw and derived audio features (e.g., spectrograms, MFCCs) efficiently available for training and inference Manage and organize datasets, including labeling workflows, versioning, annotation pipelines, and compliance with privacy policies Implement data quality, observability, and validation checks across critical data pipelines Help optimize data storage and compute strategies for large-scale training Qualifications : 2–5 years of experience as a Data Engineer, Software Engineer, or similar role with a focus on data infrastructure Proficient in Python, SQL, and working with distributed data processing tools (e.g., Spark, Dask, Beam) Experience with cloud data infrastructure (AWS/GCP), object storage (e.g.,S3), and data orchestration tools Familiarity with audio data and its unique challenges (large file sizes, time-series features, metadata handling) is a strong plus Comfortable working in a fast-paced, iterative startup environment where systems are constantly evolving Strong communication skills and a collaborative mindset — you’ll be working cross-functionally with ML, infra, and product teams Nice to Have : Experience with data for speech models like ASR, TTS, or speaker verification Knowledge of real-time data processing (e.g., Kafka, WebSockets, or low-latency APIs) Background in MLOps, feature engineering, or supporting model lifecycle workflows Experience with labeling tools, audio annotation platforms, or human-in-the-loop systems Joining us means contributing to the world’s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. You'll be part of a team exploring the vast potential of an increasingly sonic future Show more Show less

Job Title: Document AI Annotator (Invoices & Receipts) Contractual for 3 (Three Months) Fixed Salary - 11,000 ( Take Home) Immediate Joiners and Freshers ( Graduates) can apply. Shit Time - Rotational ** Work from Office ( Saltlake, Kolkata) Job Description: We are seeking detail-oriented annotators to support a Document AI project focused on labeling and annotating key fields in financial documents such as invoices, receipts, and bills. The role involves accurately tagging data fields (e.g., date, total amount, vendor name, tax) to help train AI models for automated document processing. Key Responsibilities: Review and annotate invoices, receipts, and similar documents using annotation tools Identify and label key data points (e.g., invoice number, total, tax, date, line items) Ensure accuracy and consistency in annotations Meet daily/weekly productivity and quality targets Collaborate with QA and project leads for feedback and clarification Requirements: Basic understanding of financial documents (invoices, receipts, etc.) Strong attention to detail Familiarity with annotation tools preferred(Bounding Box) Ability to follow guidelines and adapt to feedback About iMerit: iMerit (https://imerit.net) delivers data annotation, classification and content moderation outcomes that power AI, Machine Learning and data operation strategies of some of the leading AI organizations in the world. Our work encompasses a client’s journey from exploratory R&D to proof of concept to mission-critical, production-ready solutions. We leverage advanced tools, machine learning algorithms and workflow best practices to enrich, annotate and label large volumes of unstructured data and unlock hidden value. In our human empowered computing model, technology solves for throughput, while our managed workforce teams (across delivery centers in India, Bhutan and the US) solve for accuracy through their deep expertise in Computer Vision, Natural Language Processing and Content Services, and across verticals such as Autonomous Vehicles, Medical AI, Finance, Geospatial technologies and many more. iMerit also creates inclusive and diverse employment in the digital IT sector - around 80% of our workforce are sourced from various impact communities and >50% are women. Show more Show less

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. Role description: This role plays a vital role within Arcadis's Global Excellence Centre (GEC), a cohesive and diverse project delivery group consisting of over 3,000 skilled professionals stationed across offices in India, Romania, and the Philippines. Operating in conjunction with our global businesses, the GEC provides essential Capability, Capacity, and Competitive Advantage across various projects and services. Specifically, within the GEC's APM Group (Advanced Process Manufacturing), cross-functional teams drive the development of cutting-edge process engineering solutions for industries such as pharmaceuticals, semiconductors, and others. Our adept project management, client assessment capabilities, and technical expertise are instrumental in achieving successful project outcomes, leveraging innovative computational design approaches. Role accountabilities: Utilize AutoCAD and CADWorx software to create and edit piping and instrumentation diagrams (P&IDs) based on engineering sketches, markups, and specifications. Generate all necessary drawings for project phases, including reports, 2D plans, schematics, and sections. Ensure timely updates to layouts and P&IDs to reflect changes throughout project lifecycles. Verify P&IDs for accuracy, completeness, and compliance with project specifications and standards. Collaborate with engineers and designers to understand project requirements and translate them into precise P&IDs. Maintain adherence to industry standards and best practices in P&ID creation, encompassing equipment, piping, instrumentation, and control elements. Contribute to the development and upkeep of P&ID libraries and templates within CADWorx for efficient project implementation. Operate in accordance with cGMP guidelines and Arcadis SOP/Work instructions. Ensure compliance with Safety, Health, and Environmental (SHE) regulations and sustainability initiatives. Execute tasks within the allocated budget and schedule parameters. Qualifications & Experience: Diploma in a relevant technical or engineering discipline with certified course in CADWorx. [MW1] Minimum 2-3 years of experience preference to working in projects Pharma /process industries using CADWorx software or similar tools such as AutoCAD. Advanced knowledge of AutoCAD design software or CADWorx. Proficiency in using AutoCAD or CADWorx to create and modify piping and instrumentation diagrams[MW2] (P&IDs), including knowledge of symbol libraries, line types, and annotation tools. Knowledge of industry standards and codes relevant to P&ID development (e.g ANSI / ISA, ASME B31.3, BS, DIN, ASTM, etc.). Detail-oriented with a strong focus on accuracy and consistency in P&ID development. Medium English language skills. Eager to learn new capabilities and skills. Good planning, organizational, and communication skills are necessary for success in this position. Nice to have: CADWorx Plant or Plant 3D experience. Experience of developing and interpreting engineering 3D models. Bachelor’s degree in a relevant technical or engineering discipline with certified course in AutoCAD or CADWorx. Advanced English language skills. Candidate to show out-of-the box thinking to identify any opportunities for automation or innovation. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity. Show more Show less

- Bachelor's degree - Speak, write, and read fluently in English - Knowledge of Microsoft Office products and applications - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Certification in any of the following: Content Writing, Creative Writing, English Literature, English, Literary Arts, Linguistics, English as a Second Language Teaching (preferred). As a SA/VLM associate, you will be responsible for creating high-quality written content for videos/images and/or labeling of objects on audio, image, and/or video-file. Your primary focus will be on producing clear, concise, and informative content that meets the needs of the target audience. Key job responsibilities • Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team. • May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements. • Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage. • Maintaining high internal quality of the processes by performing quality audits/verification. • Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them. • Track daily task completion status using recommended tools and provide individual status reports. • Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools. • Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality. • Offering remedial instruction in tool usage and other topics as required. Requirements: • Strong command of the English language, including grammar, syntax, and vocabulary. • Background in linguistics, creative writing, computational linguistics, or a related field is preferred. • Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system. • Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc. are required • Flexibility and Interest to do repetitive tasks is required. • High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential • Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated. • Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. • Passion for language, technology, and AI advancements. • Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously. Bachelor's degree in English, Journalism, Marketing, or a related field (preferred). Prior experience of 2-4 years and familiarity with US culture preferred; or experience in multicultural communication will be a plus. 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.

We are seeking a detail-oriented and motivated Data Annotator to join our growing AI/ML team. As a Data Annotator, you will play a critical role in training artificial intelligence models by labeling and organizing data with precision and accuracy. Key Responsibilities Accurately label, categorize, and annotate various types of data including images, videos, text, and audio. Follow detailed annotation guidelines and project instructions provided by data scientists and project managers. Use internal or third-party annotation tools to complete tasks efficiently. Ensure consistency and quality of annotations across datasets by conducting peer reviews or quality checks. - Location: Gurgaon - Both side cab facility - 5 days working - Experience: Both Fresher and Experienced can apply - Joining: Immediate - Salary: Attractive package - Education: Must be Graduate Key Highlights: - Great work culture - Growth opportunities - Performance-based rewards Job Types: Full-time, Permanent, Fresher Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Night shift Rotational shift Supplemental Pay: Performance bonus Shift allowance Work Location: In person

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: A2965690 Show more Show less

- 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing The Amazon Photos team is looking for a world-class Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With all the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space - Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results - Create robust evaluation frameworks for assessing model performance across different domains and use cases - Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. PhD in computer science, machine learning, engineering, or related fields Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Material contributions to the CV/ML/AI field as related to image and video processing 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.

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: A2966041 Show more Show less

- Bachelor's degree - Speak, write, and read fluently in English - Knowledge of Microsoft Office products and applications - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Certification in any of the following: Content Writing, Creative Writing, English Literature, English, Literary Arts, Linguistics, English as a Second Language Teaching (preferred). As a SA/VLM associate, you will be responsible for creating high-quality written content for videos/images and/or labeling of objects on audio, image, and/or video-file. Your primary focus will be on producing clear, concise, and informative content that meets the needs of the target audience. Key job responsibilities • Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team. • May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements. • Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage. • Maintaining high internal quality of the processes by performing quality audits/verification. • Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them. • Track daily task completion status using recommended tools and provide individual status reports. • Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools. • Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality. • Offering remedial instruction in tool usage and other topics as required. Requirements: • Strong command of the English language, including grammar, syntax, and vocabulary. • Background in linguistics, creative writing, computational linguistics, or a related field is preferred. • Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system. • Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc. are required • Flexibility and Interest to do repetitive tasks is required. • High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential • Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated. • Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. • Passion for language, technology, and AI advancements. • Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously. Bachelor's degree in English, Journalism, Marketing, or a related field (preferred). Prior experience of 2-4 years and familiarity with US culture preferred; or experience in multicultural communication will be a plus. 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 Title: Document AI Annotator (Invoices & Receipts) Job Description: We are seeking detail-oriented annotators to support a Document AI project focused on labeling and annotating key fields in financial documents such as invoices, receipts, and bills. The role involves accurately tagging data fields (e.g., date, total amount, vendor name, tax) to help train AI models for automated document processing. Key Responsibilities:  Review and annotate invoices, receipts, and similar documents using annotation tools  Identify and label key data points (e.g., invoice number, total, tax, date, line items)  Ensure accuracy and consistency in annotations  Meet daily/weekly productivity and quality targets  Collaborate with QA and project leads for feedback and clarification Requirements:  Basic understanding of financial documents (invoices, receipts, etc.)  Strong attention to detail  Familiarity with annotation tools preferred(Bounding Box)  Ability to follow guidelines and adapt to feedback Job Type: Contractual / Temporary Contract length: 3 months Pay: ₹10,000.00 - ₹12,000.00 per month Schedule: Day shift Morning shift Night shift Rotational shift Work Location: In person

Position Overview: We are seeking a smart, results-driven Delivery Manager to lead end-to-end project delivery for data annotation and AI training initiatives. We are looking for someone who is passionate about AI, data integrity, and leading teams to success. This role requires a strategic thinker with strong leadership and operations skills. The ideal candidate will have a proven track record in project management, process improvement, client relations, and operational efficiency in new-age business. A strong technical background in AI/ML data workflows, and operations will be advantageous. Experience : 8-12 years Location : Remote (India) Primary Responsibilities: 1. End-to-End Project Delivery & Client Management Own full P&L responsibility for assigned projects, ensuring delivery within scope, timeline, and quality standards Partner with Account Delivery DRI to create comprehensive work plans and resource allocation strategies, including risk management frameworks Lead weekly client reviews, manage expectations, and drive continuous improvement based on feedback Foster long-term relationships with clients to encourage repeat business and referrals. 2. Operational Excellence & Process Innovation Implement and iterate on project planning, delivery, and closure SOPs to standardize best practices Design and monitor KPIs, including average handling time (AHT), quality scores, throughput metrics, etc. Create reusable frameworks, templates, and approaches that can be scaled across multiple client engagements 3. Team Leadership & Performance Management Lead, mentor, and develop teams of project managers, quality specialists, and other technical staff. Implement targeted training programs and skill development initiatives to reduce ramp time and improve retention using data-driven insights to optimize team productivity and quality outcomes Foster a collaborative and innovative team environment with continuous learning 4. Cross-Functional Collaboration & Stakeholder Management Work closely with Horizontal Program Managers to secure appropriate tooling, infrastructure, and talent resources Coordinate with fulfillment teams on flex staffing strategies and vendor management for peak capacity needs Communicate technical concepts clearly to both technical and business stakeholders across different time zones Lead internal operational reviews and contribute to strategic planning initiatives with senior leadership 5. AI Data Quality & Technical Excellence Deep dive into multimodal data annotation processes (text, audio, image, video) to ensure the highest data integrity standards. Collaborate with ML engineering teams to optimize annotation guidelines and quality control frameworks. Stay up-to-date with the latest advancements in LLM, GenAI, and AI technologies. Analyze large datasets using statistical methods to identify trends, anomalies, and improvement opportunities. Drive innovation in annotation tooling, product, and workflow automation. Required Qualifications: 1. High Aptitude Problem Solver Should have the natural ability to work on any kind of problem. Should be comfortable dealing with uncertainty, hearing NO's, navigating with 80% correct answers , and pushing through the darkness. Be able to define the problem structure, able to break it down into manageable steps , and show progress swiftly. Strategic problem solver with a first principles approach and long-term vision & impact. 2. Leadership & Ops Excellence Demonstrated success managing technical teams of 10+ people with direct P&L accountability. Track record of delivering complex, multi-stakeholder projects on time and within budget constraints. Experience with agile methodologies, sprint planning, and continuous improvement processes. Strong analytical skills with the ability to derive actionable insights from large datasets and operational metrics. Prior experience in handling and driving high-growth OKRs. 3. Communication & Business Acumen Excellent communication skills for client-facing roles, including presentation and negotiation capabilities. Business judgment for making trade-offs between quality, speed, and cost based on client requirements. Cross-cultural collaboration experience, comfortable working across global teams and time zones. Problem-solving mindset with the ability to navigate ambiguous situations and drive resolution. Preferred Qualifications: Engineering/Management degree from top schools like IIT, IIM, ISB. Proven experience with multimodal data processing (text, audio, image, video) and annotation quality frameworks. Previous consulting or client services experience in technical domains. Knowledge of the latest multimodal AI technologies and how they can be leveraged to improve data annotation processes. Advanced degree in a relevant technical field (MS/PhD in CS, Data Science, AI/ML). Show more Show less