1433 Annotation Jobs - Page 5

Job Description About the job Location: Bangalore Career Level: IC3 Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We’re looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Master’s in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation indeep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment. Responsibilities Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. About the Role We are looking for an exceptional candidate to develop and lead programs in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the existing capabilities for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. - What You Will Do - Program delivery leadership - lead multiple annotation/training/eval programs for our clients (typically, various AI labs) for coding and data areas, with the scope including (but not limited to) Developing the delivery solution (skills, quality check methods, etc) based on the client requirements Source technical talent from our supply pools to fulfil the resource needs Manage the service delivery - quality checks, task flows (e.g., consensus based) Client stakeholder engagement for ongoing delivery Client engagement - partner with Sales to interact with clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance during delivery. Demonstration of a deep understanding of this space during client engagement is a key requirement Sourcing strategy implementation - collaborate with our Supply team to source, develop, manage and maintain vendor relationships as well as crowd-sourcing channels to source and nurture worker pools with technical expertise for coding and data related training/evals Tech platform capability and roadmap - collaborate with our Product and Engineering teams to develop a roadmap for tech and tooling required specific to coding and data analytics related tasking; work closely with them to achieve the roadmap, drive platform adoption Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Team management - develop, coach and mentor the existing program manager team to build and scale the in-house talent for coding and data AI evals/training Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Culture champion - participate at org level overall, to drive organizational culture - What You Will Need- 10+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing the delivery services for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for talent sourcing, talent supply development, tech/tooling, delivery and QC processes in this domain is required Familiarity with managing vendors, or experience working in a client-vendor setup Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Ability to mentor and coach team members to build scale in the organization

QA Tester – Machine Learning Experience: 1–2 Years Location: Netaji Subhash Place, Delhi Employment Type: Full-time Job Summary: We are looking for a passionate and detail-oriented QA Tester with 1–2 years of experience to join our AI team. In this role, you will work closely with AI-ML engineers and software developers to ensure the quality and reliability of ML models, data pipelines, and model-integrated applications. Key Responsibilities: Design, develop, and execute test plans and test cases for ML models and data pipelines. Validate model outputs against ground truth datasets, with a focus on evaluating classification performance metrics like accuracy, precision, recall, F1-score, and ROC-AUC. Perform functional, regression, and integration testing for applications incorporating ML models. Collaborate with ML engineers to ensure testability and performance of models. Write scripts to automate model testing and data validation. Identify, record, document, and track bugs and model anomalies. Ensure data quality and consistency in training and inference pipelines. Test and validate APIs serving ML models in production. Contribute to continuous improvement of QA processes and tools. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 1–2 years of experience in QA/testing roles, preferably in ML or data-heavy environments. Solid understanding of QA methodologies, tools, and processes. Experience in testing REST APIs and working with tools like Postman or Swagger. Basic knowledge of Python, with experience in test automation using PyTest or similar frameworks. Familiarity with ML concepts and Docker. Hands-on experience working with structured/unstructured datasets. Ability to write clear, concise, and comprehensive test cases and test reports. Preferred Qualifications: Experience with ML libraries like scikit-learn, TensorFlow, or PyTorch. Exposure to data annotation, labeling, or synthetic data generation tools. Familiarity with version control systems (e.g., Git) and CI/CD workflows. Knowledge of SQL or MongoDB for data validation. Understanding of data drift, model degradation, and ML lifecycle monitoring. Why Join Us? Work on real-world ML products with a measurable impact. Collaborate with a dynamic and skilled team. Opportunity to grow in both QA and ML domains. Flexible work environment and supportive culture. Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Work Location: In person Speak with the employer +91 8178295650

DESCRIPTION Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Human Labeled Data (HLD) organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 18 to 22 associates having expertise in one or more processes/functions and proficient in languages other than English. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below: Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities Manages escalations; analyzes data; highlights trends, gaps, etc.; and reports key metrics Prepares data in business meetings/reviews and presents to senior managers and stakeholders Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management Owns and prioritizes work allocation based on business needs with a daily/monthly frequency Owns the output quality of the process managed Performs deep-dive analysis and creates COEs (Correction of Error) based on the deviation, problem, root cause, and solutions Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/in- scope operational areas Participates and provides adequate support in business reviews with mid-level and senior leadership Participates in new- process onboarding, i.e., new process/ experiments with complete documentation Participates in or owns modules of solution- building in business process setup, operations front-line setup, cross-functional process activity, tool-build documentation, etc. Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism Provides regular coaching and feedback to direct reports Devises and implements performance improvement plans for associates as applicable Identifies and works with top performers for talent development and creates a leadership pipeline for own level Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products BASIC QUALIFICATIONS A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. Excellent communication (written & oral), strong organizational skills and detail oriented Strong analytical, problem-solving, and critical-thinking skills Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary PREFERRED QUALIFICATIONS Experience in e-commerce, retail or advertising Working knowledge of Machine learning Certified or Green belt trained in Lean Six Sigma Familiarity with tools like QuickSight and Tableau 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 details IND, HR, Gurugram Operations, IT, & Support Engineering

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing 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 details IND, HR, Gurugram Editorial, Writing, & Content Management

Company Description Cashify is India’s first and largest end-to-end smartphone solution provider. We offer services to help you buy the best smartphone with our easy-to-use buying guide, purchase trendy mobile accessories, and get your smartphone repaired by our skilled technical team at affordable prices. You can also shop from our wide range of refurbished smartphones with a 6-month warranty or sell your used smartphone right from your doorstep and get instant cash on the spot, with zero hassles. Role Description This is a full-time on-site role for a Data Annotator located in Noida. The Data Annotator will be responsible for labeling and categorizing data, ensuring accuracy and consistency in annotation, and collaborating with the team to refine guidelines and improve data quality. The role will involve working with large datasets, analyzing patterns, and providing feedback to enhance data processing workflows. Qualifications Experience in labeling and categorizing data, and ensuring data accuracy Attention to detail and the ability to spot inconsistencies in large datasets Excellent analytical and problem-solving skills Ability to work collaboratively in a team environment Effective communication skills, both written and verbal Basic knowledge of data processing tools and software Prior experience in data annotation or a related field is a plus Relevant educational background in Computer Science, Data Science, or related field

QA Tester – Machine Learning Experience: 1–2 Years Location: Netaji Subhash Place, Delhi Employment Type: Full-time Job Summary: We are looking for a passionate and detail-oriented QA Tester with 1–2 years of experience to join our AI team. In this role, you will work closely with AI-ML engineers and software developers to ensure the quality and reliability of ML models, data pipelines, and model-integrated applications. Key Responsibilities: Design, develop, and execute test plans and test cases for ML models and data pipelines. Validate model outputs against ground truth datasets, with a focus on evaluating classification performance metrics like accuracy, precision, recall, F1-score, and ROC-AUC. Perform functional, regression, and integration testing for applications incorporating ML models. Collaborate with ML engineers to ensure testability and performance of models. Write scripts to automate model testing and data validation. Identify, record, document, and track bugs and model anomalies. Ensure data quality and consistency in training and inference pipelines. Test and validate APIs serving ML models in production. Contribute to continuous improvement of QA processes and tools. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 1–2 years of experience in QA/testing roles, preferably in ML or data-heavy environments. Solid understanding of QA methodologies, tools, and processes. Experience in testing REST APIs and working with tools like Postman or Swagger. Basic knowledge of Python, with experience in test automation using PyTest or similar frameworks. Familiarity with ML concepts and Docker. Hands-on experience working with structured/unstructured datasets. Ability to write clear, concise, and comprehensive test cases and test reports. Preferred Qualifications: Experience with ML libraries like scikit-learn, TensorFlow, or PyTorch. Exposure to data annotation, labeling, or synthetic data generation tools. Familiarity with version control systems (e.g., Git) and CI/CD workflows. Knowledge of SQL or MongoDB for data validation. Understanding of data drift, model degradation, and ML lifecycle monitoring. Why Join Us? Work on real-world ML products with a measurable impact. Collaborate with a dynamic and skilled team. Opportunity to grow in both QA and ML domains. Flexible work environment and supportive culture. Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Work Location: In person Speak with the employer +91 8178295650

Job Title: Senior Bioinformatician GCL: D2 Introduction to role Are you ready to tackle some of the most challenging informatics problems in the drug discovery clinical trial phase? Join us as a Senior Bioinformatician and be part of a team that is redefining healthcare. Your work will directly impact millions of patients by advancing the standard of drug discovery through data processing, analysis, and algorithm development. Collaborate with informaticians, data scientists, and engineers to deliver ground breaking solutions that drive scientific insights and improve the quality of candidate drugs. Are you up for the challenge? Accountabilities Collaborate with scientific colleagues across AstraZeneca to ensure informatics and advanced analytics solutions meet R&D needs. Develop and deliver informatics solutions using agile methodologies, including pipelining approaches and algorithm development. Contribute to multi-omics drug projects with downstream analysis and data analytics. Create, benchmark, and deploy scalable data workflows for genome assembly, variant calling, annotation, and more. Implement CI/CD practices for pipeline development across cloud-based and HPC environments. Apply cloud computing platforms like AWS for pipeline execution and data storage. Explore opportunities to apply AI & ML in informatics. Engage with external peers and software providers to apply the latest methods to business problems. Work closely with data scientists and platform teams to deliver scientific insights. Collaborate with informatics colleagues in our Global Innovation and Technology Centre. Essential Skills/Experience Masters/PhD (or equivalent) in Bioinformatics, Computational Biology, AI/ML, Genomics, Systems Biology, Biomedical Informatics, or related field with a demonstrable record of informatics and Image analysis delivery in a biopharmaceutical setting. Strong coding and software engineering skills such as Python, R, Scripting, Nextflow. Over 6 years of experience in Image analysis/bioinformatics, with a focus on Image/NGS data analysis and Nextflow (DSL2) pipeline development. Proficiency in cloud platforms preferably AWS (e.g. S3, EC2, Batch, EBS, EFS etc) and containerization tools (Docker, Singularity). Experience with workflow management tools and CI/CD practices in Image analysis and bioinformatics (Git, GitHub, GitLab), HPC in AWS. Experience in working with any multi-omics analysis (Transcriptomics, single cell and CRISPR etc ) or Image data (DICOM, WSI etc) analysis. Experience working with any Omics tools and databases such as NCBI, PubMED, UCSC genome databrowser, bedtools, samtools, Picard or imaging relevant tools such as CellProfiler, HALO, VisioPharm particularly in digital pathology and biomarker research. Strong communication skills, with the ability to collaborate effectively with team members and partners to achieve objectives. Desirable Skills/Experience Experience in Omics or Imaging data analysis in a Biopharmaceutical setting. Knowledge of Dockers, Kubernetes for container orchestration. Experience with other workflow management systems, such as (e.g. Apache Airflow, Nextflow, Cromwell, AWS StepFunctions). Familiarity with web-based bioinformatics tools (e.g., RShiny, Jupyter). Experience with working in GxP-validated environments. Experience administering and optimising a HPC job scheduler (e.g. SLURM). Experience with configuration automation and infrastructure as code (e.g. Ansible, Hashicorp Terraform, AWS CloudFormation, Amazon Cloud Developer Kit). Experience deploying infrastructure and code to public cloud, especially AWS. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we are driven by a shared purpose to push the boundaries of science and develop life-changing medicines. Our innovative approach combines ground breaking science with leading digital technology platforms to empower our teams to perform at their best. We foster an environment where you can explore new solutions and experiment with groundbreaking technology. With countless opportunities for learning and growth, you'll be part of a diverse team that works multi-functionally to make a meaningful impact on patients' lives. Ready to make a difference? Apply now to join our team as a Senior Bioinformatician! Date Posted 02-Jul-2025 Closing Date 30-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

We are seeking a QA Automation Engineer to join our growing product development team for RLS, a multi-tenant SaaS application used by life sciences companies to manage, annotate, redact, and transform text within PDF documents. This role is ideal for someone who enjoys automating complex user workflows, especially those involving PDF rendering, search/replace functionality, and REST API-driven web applications. Key Responsibilities • Design and implement automated E2E test cases using Playwright (or similar) for PDF workflows such as load, search, redaction, annotation, and save • Build integration tests for REST APIs (Node.js backend) and validate key workflows like authentication, project/task creation, and S3 interactions • Maintain and expand component-level tests for React-based UI using tools like React Testing Library and Jest • Develop and test suites in CI/CD pipelines (e.g., GitHub Actions) • Set up and manage test data across multiple tenant schemas (PostgreSQL on AWS RDS) • Implement visual regression tests to detect rendering issues in WebViewer • Work closely with developers, product managers, and DevOps engineers to identify edge cases and proactively address quality risks • Optionally leverage AI-assisted test tools (like Testim.io, QA Wolf, Claude, or GitHub Copilot) to accelerate test development Required Qualifications • 3+ years of experience in QA automation for web applications • Strong knowledge of Playwright, Cypress, or Selenium for browser-based E2E testing • Experience testing RESTful APIs with tools like Postman, Supertest, or Newman • Familiarity with JavaScript/TypeScript and modern test frameworks (Jest, Mocha) • Experience with PDF testing challenges, e.g., validating content after edits • Understanding of CI/CD systems (GitHub Actions, Bitbucket Pipelines, or similar) • Exposure to AWS services like S3, RDS, ECS, and Cognito • Comfortable working in a fast-paced, agile SaaS environment Preferred Qualifications • Experience testing document viewers like Apryse/WebViewer, PDF.js, or Adobe Embed • Familiarity with multi-tenant architectures and schema-per-tenant databases • Knowledge of visual testing tools like Percy or Applitools • Comfort using AI-assisted QA tools • Understanding of security testing basics (authentication, data leakage, etc.)

At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. About The Role We are looking for an exceptional candidate to develop and lead programs in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the existing capabilities for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. What You Will Do Program delivery leadership - lead multiple annotation/training/eval programs for our clients (typically, various AI labs) for coding and data areas, with the scope including (but not limited to) Developing the delivery solution (skills, quality check methods, etc) based on the client requirements Source technical talent from our supply pools to fulfil the resource needs Manage the service delivery - quality checks, task flows (e.g., consensus based) Client stakeholder engagement for ongoing delivery Client engagement - partner with Sales to interact with clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance during delivery. Demonstration of a deep understanding of this space during client engagement is a key requirement Sourcing strategy implementation - collaborate with our Supply team to source, develop, manage and maintain vendor relationships as well as crowd-sourcing channels to source and nurture worker pools with technical expertise for coding and data related training/evals Tech platform capability and roadmap - collaborate with our Product and Engineering teams to develop a roadmap for tech and tooling required specific to coding and data analytics related tasking; work closely with them to achieve the roadmap, drive platform adoption Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Team management - develop, coach and mentor the existing program manager team to build and scale the in-house talent for coding and data AI evals/training Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Culture champion - participate at org level overall, to drive organizational culture ---- What You Will Need---- 10+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing the delivery services for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for talent sourcing, talent supply development, tech/tooling, delivery and QC processes in this domain is required Familiarity with managing vendors, or experience working in a client-vendor setup Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Ability to mentor and coach team members to build scale in the organization

Video Raters/Editor We have a new scope of work requiring highly skilled video raters/Editor for Video Quality Annotation projects. Task Details: Project Description: Identify any quality issues present in the video based on the detailed guidelines provided. Requirement: Require users with tier 3 experience of video editors/raters who can rate attributes such as Blurriness, Noise, Low Resolution, lighting, camera angle etc. Proficiency:> 8 years' Experience No of hrs. required: 4-5+ Hrs. per day Location: India Work Experience: Video Rating, Video Editing, Film Making exp. Work Weekend: Yes Project Duration: 10 Days. Volume & Required hours

DESCRIPTION As an ML Data Ops II, you will play a crucial role in managing and improving machine learning data annotation processes. Your responsibilities span a wide range of tasks, from executing and overseeing annotation work to ensuring quality, productivity, and compliance across ML data process areas. You'll serve as a point of contact for simple annotation tasks, modify SOPs, test new tools, and provide valuable feedback for improvements. Your analytical skills will be put to use as you track metrics, report progress, and identify process issues. Quality assurance is a key aspect of your role, involving auditing work, documenting errors, and performing root cause analysis. You'll also contribute to continuous process improvement by analyzing ML datasets and implementing small-scale simplifications. Additionally, you'll take on a leadership role by providing guidance and training team members, participating in knowledge sharing sessions. Key job responsibilities As an ML Data Ops II, your key responsibilities will encompass a wide range of tasks critical to the success of machine learning data annotation processes. You'll execute and oversee annotation tasks across multiple ML data process areas, serving as a point of contact for simple annotation tasks while achieving targeted KPIs. Your role involves modifying and documenting SOPs, testing new tools, and providing valuable feedback for improvements. You'll analyze data, track metrics, and report progress to stakeholders, while also reviewing process issues and ensuring compliance with guidelines. Quality assurance is a crucial aspect of your position. You'll contribute to continuous process improvement by analyzing ML datasets, suggesting and implementing small-scale process simplifications, and identifying operational issues. Ensuring team adherence to confidentiality and compliance requirements is paramount, as is conducting periodic data audits. Your analytical skills will be utilized to provide insights for ongoing process enhancements, and you'll collaborate with cross-functional teams to improve operational metrics and processes. This role offers opportunities for growth and development within the ML data operations field, with a focus on process improvement and quality assurance. BASIC QUALIFICATIONS 1+ years of relevant work experience Proficiency in performing annotation-related tasks and procedures in assigned process areas Understanding of ground-truth data generation workflow Basic in MS - Office Ability to modify or create SOPs from existing annotation/data collection guidelines Experience in performing quality checks on executions and contributing to root cause analysis of user errors Capability to achieve targeted productivity, quality, utilization, and other KPIs Knowledge of more than one ML data labelling method and process Understanding of dependencies across ML data workflows and ability to articulate customer impact Ability to analyze ML datasets and provide inputs for continuous process improvement Experience in identifying operational issues in tooling/processes Skill in recommending and implementing small-scale process simplification improvements Proficiency in using internal tools and software related to data collection and annotation Strong adherence to confidentiality and compliance requirements Ability to work effectively with some level of ambiguity, determining which task or procedure (or when a slight deviation is needed) to achieve desired outcomes Good communication skills to interact with team members and stakeholders PREFERRED QUALIFICATIONS Proficient with technical expertise such as - MS-Excel 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 details IND, TS, Hyderabad Fire TV & Tablets Editorial, Writing, & Content Management

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · • Design and develop deep learning models for computer vision tasks such as: · • Object detection (e.g., YOLO, Faster R-CNN) · • Image classification (e.g., ResNet, EfficientNet) · • Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) · • Video frame analysis, tracking, or scene understanding · • Use OpenCV for image/video preprocessing and classical vision tasks: · • Filtering, contour detection, edge detection, motion tracking, image transformations · • Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation · • Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) · • Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow · • Collaborate with cross-functional teams to translate requirements into deployable models · • Write clean, modular, and well-documented Python code for training and experimentation · · Must-Have Skills · • 4–6 years of experience in applied deep learning roles with focus on computer vision · • Proficiency in Python with strong skills in data structures, vectorization, and modular coding · • Hands-on experience with OpenCV for traditional image/video processing tasks · • Strong understanding of CNN architectures and common vision model types · • Deep learning experience with PyTorch or TensorFlow · • Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) · • Familiarity with model training, loss functions, optimization techniques, and performance tuning · · Nice-to-Have Skills · • Experience with video analytics or multi-object tracking · • Familiarity with Albumentations, imgaug, or other augmentation libraries · • Exposure to transformer-based vision models (e.g., ViT, Swin) · • Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) · • Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory skill sets: Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets: Data analysis, SQL, MLOPS Years of experience required: 5+ Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Job Title: Jr. AI Engineer Location: Remote Job Type: Full-Time Job Summary: We are looking for a Jr. AI Engineer with a passion for Artificial Intelligence, Natural Language Processing (NLP), and Large Language Models (LLMs). The ideal candidate should have prior internship experience in AI/ML, familiarity with modern AI frameworks, and a strong desire to learn and grow in this field. You will work with the team to develop, fine-tune, and integrate LLMs, and contribute to building intelligent and scalable AI solutions. Key Responsibilities: 1. AI & LLM Development ● Assist in fine-tuning and customizing LLMs for specific use cases. ● Curate, preprocess, and manage datasets for training and evaluation. ● Experiment with AI model architectures and fine-tuning strategies under guidance. ● Support the integration of LLMs into web applications and APIs. 2. Data Handling & Analysis ● Perform data cleaning, transformation, and preparation for AI pipelines. ● Conduct exploratory data analysis and model evaluation. ● Work on data annotation and augmentation tasks when required. 3. AI Research Support ● Stay updated with the latest AI and NLP trends, research papers, and tools. ● Assist senior engineers in implementing state-of-the-art AI techniques. ● Contribute to internal technical documentation and knowledge sharing. 4. Testing & Optimization ● Help test AI models for accuracy, performance, and reliability. ● Identify issues in model predictions and suggest improvements. ● Support the deployment and monitoring of AI models on cloud or edge environments. 5. Collaboration & Learning ● Collaborate with developers, data scientists, and AI engineers. ● Participate in code reviews and brainstorming sessions. ● Continuously learn new AI technologies and frameworks. Qualifications: ● Education: Bachelor’s degree in Computer Science, Data Science, AI, or related field (or equivalent experience). ● Experience: Internship experience in AI/ML, NLP, or data science projects is mandatory. ● Skills: ○ Basic understanding of machine learning algorithms and NLP concepts. ○ Familiarity with Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). ○ Knowledge of data preprocessing and dataset management. ○ Experience with REST APIs and version control (Git) is a plus. ○ Strong problem-solving and analytical skills. What We Offer: ● Competitive salary and growth opportunities. ● Hands-on exposure to LLMs and cutting-edge AI technologies. ● Collaborative and learning-focused environment. ● Guidance from senior AI engineers to build your career.

Role Description: We are seeking a full-time Computer Vision Developer for an on-site role based in Gurugram . You will be responsible for designing, developing, and optimizing computer vision pipelines and algorithms for real-time applications. The role involves working on object detection, tracking, OCR, and edge AI deployment. You’ll collaborate closely with cross-functional teams to integrate vision models into embedded systems and smart devices, contributing to the development of AI-powered products from prototype to production. Key Responsibilities: Develop and implement computer vision algorithms Optimize models for real-time inference on edge devices (e.g., Jetson, Raspberry Pi, ARM boards) Preprocess and annotate image/video datasets for training and validation Train, fine-tune, and evaluate deep learning models using frameworks like PyTorch or TensorFlow Integrate models into production pipelines, working with embedded engineers where required Conduct research on state-of-the-art vision techniques and evaluate applicability Debug, profile, and optimize performance for low-latency deployments Collaborate across software, hardware, and product teams for end-to-end solution delivery Qualifications: Strong hands-on experience in computer vision Proficiency with deep learning frameworks (PyTorch, TensorFlow, ONNX) Experience with pattern recognition, object detection, segmentation, or OCR Familiarity with embedded systems, NVIDIA Jetson, or ARM-based platforms is a plus Solid understanding of image processing, linear algebra, and optimization techniques Experience with data annotation tools (LabelImg, CVAT, Roboflow) Strong problem-solving and debugging skills Bachelor’s or Master’s degree in Computer Science, AI, or related fields Bonus: Experience with real-time video processing, GStreamer, or edge model quantization

Position Overview: We are seeking a seasoned and technically astute Manager / Sr. Manager with deep expertise in Annotation & Labelling for Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS). The ideal candidate should possess hands-on experience managing complex, large-scale data labelling workflows across multi-sensor environments (Camera, LiDAR, Radar), while effectively engaging with global AI/ML engineering teams and enterprise clients. This role demands a strong grasp of sensor fusion, perception stack workflows, and data quality frameworks, along with the leadership capability to run high-throughput annotation projects across 2D, 3D, and semantic data pipelines. Key Responsibilities: Manage annotation pipelines across image, video, LiDAR point cloud, and multi-sensor fusion data to support perception models. Apply strong understanding of autonomous driving scenarios such as lane detection, vehicle tracking, pedestrian movement, free space estimation, and object classification. Translate real-world edge cases into structured labelling guidelines tailored for different autonomy levels (L2–L4). Drive the end-to-end execution of annotation projects, including planning, resource allocation, execution, quality checks, and final delivery. Ensure timely delivery of high-quality, accurately labelled datasets that meet client SLAs. Define and track project KPIs such as annotation throughput, QA pass rates, rework percentages, and turnaround times. Ability to present Technical solutions, pilot walkthroughs, and technical discussions during pre-sales or delivery. A good understanding of emerging trends in ADAS/Autonomous space, such as simulation data, open datasets. Collaborate with business development teams to support proposals, solutioning, and client onboarding. Key Skills & Competencies: Technical & Domain Skills: Deep knowledge of annotation types: bounding boxes, polygons, cuboids, semantic segmentation, LiDAR point cloud labelling, object tracking. Familiarity with sensor modalities (camera, LiDAR, radar), time-synced data alignment, and calibration workflows. Understanding of the perception stack in AD/ADAS systems: from data ingestion to object detection and decision-making. Proven ability to lead cross-functional teams across geographies and deliver large-scale annotation projects. Strong stakeholder management, reporting, and documentation skills. Proficient in industry-leading annotation tools and open-source platforms. Familiarity with ML training feedback loops, model evaluation metrics, and how data quality affects AI performance Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Minimum 8+ years of experience in annotation/labelling, with at least 4-5 years in autonomous or ADAS domain. Experience managing teams and leading high-complexity annotation projects. Project management certifications (PMP, Agile, Six Sigma) are of added advantage

About The Job About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What We Are Looking For Clinical Database Programmer with a solid understanding of Clinical Protocol, Medical and Scientific Principles of conducting clinical trials. We are seeking an individual who not only possesses the requisite expertise but also thrives in a fast-paced environment. What You’ll Do Design the eCRF layout and the database corresponding to the eCRFs to hold the data from the EDC system and Setup Core Configurations. Implementing the Dynamic rules as per the Sponsor requirements. Create, test, and maintain trial-specific plausibility and consistency Edit Checks as per Data Validation Specification. Analyze complex checks and Develop Custom Functions using C# for Rave studies or other EDC. Incorporate internal feedback and update programs as required. Incorporate Sponsor Acceptance Testing (SAT) feedback. Maintain and update the eCRFs and their components as required for protocol amendments or required metadata updates. Perform second/final review for peer deliverables. Create RAVE System Configuration Specification (Core config, Report Config, e-learning config, Appendix config & coding spec in RAVE or other EDC). Incorporate RAVE Configuration Specification. Facilitate Internal Configuration Review Meeting (ICRM). Revise and update eCRF booklet, DVS and Configuration Specification. Facilitate Sponsor Acceptance Meeting (SAM). Handle issues related to QC/UAT/PROD and tracking issues to closer. Review of the DVS for clarity and to ensure checks are consistent and appropriate based on eCRF design. Provide feedback to DVS author. Support CRO trial activities, including CRF annotation, database setup, specification generation, Clinical view settings, and dataset comparison. Create reports as per the Sponsor specification document using JReview, SAS, BOXI. Estimate and perform migration process for Post Go-Live studies (handling RFCs). Performe DB Coordinator role for multiple trials. Mentor new hires in CRO and EDC activities. Must Have Protocol reading and understanding Expertise in ‘Critical Data Point Strategy (CDPS) or SDV’ implementation. Scientific background: A solid understanding of Clinical Protocol, medical and scientific principles of conducting clinical trials. Strong writing and communication skills: The ability to clearly articulate and concisely explain complex information. Research and analytical skills: Ability to gather, interpret, and synthesize data into insightful information. Attention to detail: Ensuring accuracy and adherence to guidelines such as Protocol, Specification, Library Standards, ICH GCP, etc. Project management skills: Managing the document development process and meeting timelines. People management skills: Managing the team of highly qualified individuals (applicable for Team Lead role only). Certified Medidata Study Builder (SDBE), Oracle - InForm/ Central Designer, Veeva Studio B.E./B.Tech - Computer Science-based courses or Circuit Branches) M.Sc./ MCA in the stream of Computer Science B.Sc./ BCA in the stream of Computer Science) Why Join Us? Be part of a fast-growing consulting firm making a real impact in the healthcare space. Work directly with leadership and stakeholders. Own and shape the marketing strategy, with full freedom to innovate and experiment. Locations we are currently hiring for this role: Pune, Gurgaon, Bangalore, Kochi, Hyderabad, Chennai Skills: database management,dynamic rules implementation,project management,central designer,plausibility and consistency checks,veeva studio,critical data point strategy (cdps),report generation (jreview, sas, boxi),attention to detail,data validation specification,edc systems,research and analytical skills,clinical protocol,ecrf layout design,rave studies,people management,clinical database programming,strong writing and communication,c# programming,medical and scientific principles,post go-live studies migration,oracle inform,protocol understanding

Role & responsibilities Skill : Data Annotators with Manual Tester Exp: 7 to 12 Years Notice period: Looking for Immediate Joiners Location : Remote (India) Skills: Data gathering, labeling, annotation, and quality assurance. Budget : 15LPA (Maximum) You will be responsible for performing various testing tasks, including data gathering, labeling, annotation, and quality assurance. The ideal candidate will have a strong attention to detail and willingness to learn. We are seeking a motivated and enthusiastic individual to join our team as a Manual Tester. In this role, you will be responsible for performing various testing tasks, including data gathering, labeling, annotation, and quality assurance. The ideal candidate will have a strong attention to detail and willingness to learn. Responsibilities : Gather, label, and annotate data for use in testing software products. Develop and execute test plans and test cases to ensure that software products meet quality standards. Work closely with developers to identify and resolve defects or issues found during testing. Participate in the design and development of test strategies, test plans, and test cases. Collaborate with cross-functional teams to ensure that software products are delivered on time and meet customer requirements. Report and track defects or issues found during testing using defect tracking tools. Perform regression testing to ensure that defects have been resolved and that software products meet quality standards. Ensure that all testing is conducted in accordance with established testing procedures and standards. Preferred candidate profile Strong attention to detail and willingness to learn. Basic knowledge of software testing methodologies and tools. Experience in data gathering, labeling, and annotation is a plus. Strong analytical skills with the ability to identify and report defects or issues. Strong communication skills with the ability to work effectively in a team environment. Ability to work independently with minimal supervision. Ability to prioritize and manage multiple tasks and assignments. Education Bachelor's degree in Computer Science, Software Engineering, or a related field Interested Candidates please share your updated profiles to mail id anusha.r@rrootshell.com Thanks & Regards, Anusha R Ph No: 7989093547

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · • Design and develop deep learning models for computer vision tasks such as: · • Object detection (e.g., YOLO, Faster R-CNN) · • Image classification (e.g., ResNet, EfficientNet) · • Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) · • Video frame analysis, tracking, or scene understanding · • Use OpenCV for image/video preprocessing and classical vision tasks: · • Filtering, contour detection, edge detection, motion tracking, image transformations · • Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation · • Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) · • Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow · • Collaborate with cross-functional teams to translate requirements into deployable models · • Write clean, modular, and well-documented Python code for training and experimentation · · Must-Have Skills · • 4–6 years of experience in applied deep learning roles with focus on computer vision · • Proficiency in Python with strong skills in data structures, vectorization, and modular coding · • Hands-on experience with OpenCV for traditional image/video processing tasks · • Strong understanding of CNN architectures and common vision model types · • Deep learning experience with PyTorch or TensorFlow · • Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) · • Familiarity with model training, loss functions, optimization techniques, and performance tuning · · Nice-to-Have Skills · • Experience with video analytics or multi-object tracking · • Familiarity with Albumentations, imgaug, or other augmentation libraries · • Exposure to transformer-based vision models (e.g., ViT, Swin) · • Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) · • Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory skill sets: · Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets: · Data analysis, SQL, MLOPS Years of experience required: 5+ Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Chennai, Tamil Nadu, India Language Services Full-time Description: Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1993, the group is present in 23 countries across Europe, North America, and Asia, with over 1.800 employees supported by a network of +20.000 linguists around the world. At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed. Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world’s leading brands. Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms—gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation—enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds. This is Acolad - Content That Empowers, Anywhere. Acolad Content Solutions India Private Limited Sai Samuthra Plot No. 41B & 41 C North Phase 1st Floor, Sidco Industrial Estate Ekkatuthangal, Chennai-600032 Landmark: Near Ekkatuthangal Overbridge (Jaya TV Office) Phone: 04466841999 The Job Role: We are currently seeking Project Manager for AI Data Services to join our expanding team in the APAC/IST region. In this fully remote role, you will oversee the entire lifecycle of complex AI data projects—from planning to delivery—ensuring high-quality results that align with client expectations, timelines, and budgets. This is an exciting opportunity for professionals who thrive in a fast-paced, data-driven environment and are passionate about the intersection of project management and artificial intelligence. Key Responsibilities: Project Ownership: Lead the full lifecycle of large-scale AI data projects from initiation to completion. Team Coordination: Manage global, cross-functional teams across different time zones, ensuring effective communication and collaboration. Client Engagement: Serve as the main point of contact for clients, ensuring high satisfaction through clear communication, responsiveness, and proactive problem-solving. Risk & Quality Management: Identify risks early, develop mitigation strategies, and ensure high-quality outputs through structured quality control processes. Resource & Budget Management: Allocate resources efficiently and manage project budgets to meet timelines and deliverables. Process Optimization: Continuously assess and refine project workflows to enhance efficiency, scalability, and outcomes. Remote Project Execution: Utilize tools and platforms to effectively manage distributed teams and maintain full visibility on project progress. Requirements: Tool & Tech Requirements: Reliable high-speed internet connection Functional phone or VoIP service for team and client communication Access to a computer with up-to-date software (Windows/Mac) Familiarity with online project management and collaboration tools (e.g., Jira, Asana, Trello, Slack, Zoom) Required Qualifications and Skills: High School Diploma or University Degree 5+ years of experience in project management , preferably in AI/data services or a related industry Leadership and stakeholder management skills Excellent command of English (written and spoken) Advanced proficiency in Microsoft Office Suite , particularly Excel Strong organizational, analytical, and problem-solving abilities Comfortable working independently and making data-driven decisions Ability to thrive in dynamic, fast-paced environments and adapt to changing priorities Strong grasp of AI data annotation, collection, validation, and transcription workflows Nice to Have (Preferred Skills) Knowledge of scripting languages (e.g., Python, R ) for automation or data handling Proficiency in data visualization and reporting tools (e.g., Tableau, Power BI) Understanding of basic data structures and modeling concepts Familiarity with CAT tools (e.g., SDL Trados, memoQ, etc.) Benefits: National and Festival Holidays Five days work week Medical Insurance

Description As an ML Data Ops II, you will play a crucial role in managing and improving machine learning data annotation processes. Your responsibilities span a wide range of tasks, from executing and overseeing annotation work to ensuring quality, productivity, and compliance across ML data process areas. You'll serve as a point of contact for simple annotation tasks, modify SOPs, test new tools, and provide valuable feedback for improvements. Your analytical skills will be put to use as you track metrics, report progress, and identify process issues. Quality assurance is a key aspect of your role, involving auditing work, documenting errors, and performing root cause analysis. You'll also contribute to continuous process improvement by analyzing ML datasets and implementing small-scale simplifications. Additionally, you'll take on a leadership role by providing guidance and training team members, participating in knowledge sharing sessions. Key job responsibilities As an ML Data Ops II, your key responsibilities will encompass a wide range of tasks critical to the success of machine learning data annotation processes. You'll execute and oversee annotation tasks across multiple ML data process areas, serving as a point of contact for simple annotation tasks while achieving targeted KPIs. Your role involves modifying and documenting SOPs, testing new tools, and providing valuable feedback for improvements. You'll analyze data, track metrics, and report progress to stakeholders, while also reviewing process issues and ensuring compliance with guidelines. Quality assurance is a crucial aspect of your position. You'll contribute to continuous process improvement by analyzing ML datasets, suggesting and implementing small-scale process simplifications, and identifying operational issues. Ensuring team adherence to confidentiality and compliance requirements is paramount, as is conducting periodic data audits. Your analytical skills will be utilized to provide insights for ongoing process enhancements, and you'll collaborate with cross-functional teams to improve operational metrics and processes. This role offers opportunities for growth and development within the ML data operations field, with a focus on process improvement and quality assurance. Basic Qualifications 1+ years of relevant work experience Proficiency in performing annotation-related tasks and procedures in assigned process areas Understanding of ground-truth data generation workflow Basic in MS - Office Ability to modify or create SOPs from existing annotation/data collection guidelines Experience in performing quality checks on executions and contributing to root cause analysis of user errors Capability to achieve targeted productivity, quality, utilization, and other KPIs Knowledge of more than one ML data labelling method and process Understanding of dependencies across ML data workflows and ability to articulate customer impact Ability to analyze ML datasets and provide inputs for continuous process improvement Experience in identifying operational issues in tooling/processes Skill in recommending and implementing small-scale process simplification improvements Proficiency in using internal tools and software related to data collection and annotation Strong adherence to confidentiality and compliance requirements Ability to work effectively with some level of ambiguity, determining which task or procedure (or when a slight deviation is needed) to achieve desired outcomes Good communication skills to interact with team members and stakeholders Preferred Qualifications Proficient with technical expertise such as - MS-Excel 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 13 SEZ Job ID: A3042583

|| Immediate Joiners || Dear Candidates, Please find the below Job Description. Qualification: BDS, MDS, BPT, MPT, BHMS, M.Pharma, B.pharma Experience: 05 years (Freshers welcome!) The role involves mapping clinical, laboratory, pharmacological, and other medical health terms to their corresponding concepts in standard medical terminologies, ensuring accurate representation of the source terms. Additionally, the position includes performing text labeling, data annotation, or image annotation tasks as assigned by the team. Notice Period : Immediate joiner Location : Noida sector 62 Shift Timing : 9:30PM - 6:30AM Regards, Manvi Rana mrana@innodata.com

Role / Designation - SME Project Manager Years of Experience - 5-7 years of relevant experience in Client Facing role in IT Services Education Qualifications - MBBS or equivalent degree Job Location - Vizag Other requirements - Ability to travel between iMerit offices up to 25% Responsibilities will include but not limited to the following: Full-time position as Project Manager (PM) for medical data projects, including working with different medical data types to produce datasets for machine learning purposes. Leading and managing annotation teams (clinicians, annotators, QA). Designing annotation protocols with clinical relevance Strong written and verbal communication skills; ability to communicate effectively with clients and cross-border colleagues. Leverage people, process and technical expertise to identify opportunities for quality & process design improvement to support the three fundamental outcomes – Faster, Cheaper, Better while upholding the company’s social impact mission. Ability to handle multiple competing priorities in a fast-paced environment. Strong Problem Solving / Troubleshooting skills Proven experience in building teams from scratch and growing individuals into Team Leads & managers. Initiate and develop partnerships with customers and customer success managers to define and evaluate service performance outcomes. Ability to keep your employees motivated, resolve conflicts and make hard decisions for your employees. Liaise with senior stakeholders in other functions on key dependencies and identify/create synergies for optimal client experience. Collaborate with delivery client teams and other stakeholders across iMerit, with an understanding of the diverse needs of each stakeholder Skill requirements In-depth knowledge of healthcare terminology and anatomy with a basic understanding of how annotated data is used in machine learning models, particularly in healthcare. Understanding of medical data types: radiology images, pathology reports, EMRs, or lab data, clinical workflows, and diagnosis processes.. Awareness of regulations like HIPAA (Health Insurance Portability and Accountability Act) to ensure patient data privacy and security. Passionate about technology, self-learner who keeps abreast with latest developments. Ability to communicate with both internal and external stakeholders Experience/Education Experience in Project Management for Healthcare Services Physician/MBBS with relevant experience Understanding of Patient history and diagnosis, prescription writing, medical abbreviations.

Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1993, the group is present in 23 countries across Europe, North America, and Asia, with over 1.800 employees supported by a network of +20.000 linguists around the world. At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed. Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world's leading brands. Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms—gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation—enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds. This is Acolad - Content That Empowers, Anywhere. Acolad Content Solutions India Private Limited Sai Samuthra Plot No. 41B & 41 C North Phase 1st Floor, Sidco Industrial Estate Ekkatuthangal, Chennai-600032 Landmark: Near Ekkatuthangal Overbridge (Jaya TV Office) Phone: 04466841999 The Job Role: We are currently seeking Project Manager for AI Data Services to join our expanding team in the APAC/IST region. In this fully remote role, you will oversee the entire lifecycle of complex AI data projects—from planning to delivery—ensuring high-quality results that align with client expectations, timelines, and budgets. This is an exciting opportunity for professionals who thrive in a fast-paced, data-driven environment and are passionate about the intersection of project management and artificial intelligence. Key Responsibilities: Project Ownership: Lead the full lifecycle of large-scale AI data projects from initiation to completion. Team Coordination: Manage global, cross-functional teams across different time zones, ensuring effective communication and collaboration. Client Engagement: Serve as the main point of contact for clients, ensuring high satisfaction through clear communication, responsiveness, and proactive problem-solving. Risk & Quality Management: Identify risks early, develop mitigation strategies, and ensure high-quality outputs through structured quality control processes. Resource & Budget Management: Allocate resources efficiently and manage project budgets to meet timelines and deliverables. Process Optimization: Continuously assess and refine project workflows to enhance efficiency, scalability, and outcomes. Remote Project Execution: Utilize tools and platforms to effectively manage distributed teams and maintain full visibility on project progress. Requirements Tool & Tech Requirements: Reliable high-speed internet connection Functional phone or VoIP service for team and client communication Access to a computer with up-to-date software (Windows/Mac) Familiarity with online project management and collaboration tools (e.g., Jira, Asana, Trello, Slack, Zoom) Required Qualifications and Skills: High School Diploma or University Degree 5+ years of experience in project management, preferably in AI/data services or a related industry Leadership and stakeholder management skills Excellent command of English (written and spoken) Advanced proficiency in Microsoft Office Suite, particularly Excel Strong organizational, analytical, and problem-solving abilities Comfortable working independently and making data-driven decisions Ability to thrive in dynamic, fast-paced environments and adapt to changing priorities Strong grasp of AI data annotation, collection, validation, and transcription workflows Nice To Have (Preferred Skills) Knowledge of scripting languages (e.g., Python, R) for automation or data handling Proficiency in data visualization and reporting tools (e.g., Tableau, Power BI) Understanding of basic data structures and modeling concepts Familiarity with CAT tools (e.g., SDL Trados, memoQ, etc.) Benefits National and Festival Holidays Five days work week Medical Insurance

· A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. · Excellent communication (written & oral), strong organizational skills and detail oriented · Strong analytical, problem-solving, and critical-thinking skills · Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Human Labeled Data (HLD) organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 18 to 22 associates having expertise in one or more processes/functions and proficient in languages other than English. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below: * Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities * Manages escalations; analyzes data; highlights trends, gaps, etc.; and reports key metrics * Prepares data in business meetings/reviews and presents to senior managers and stakeholders * Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management * Owns and prioritizes work allocation based on business needs with a daily/monthly frequency * Owns the output quality of the process managed * Performs deep-dive analysis and creates COEs (Correction of Error) based on the deviation, problem, root cause, and solutions * Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/in- scope operational areas * Participates and provides adequate support in business reviews with mid-level and senior leadership * Participates in new- process onboarding, i.e., new process/ experiments with complete documentation * Participates in or owns modules of solution- building in business process setup, operations front-line setup, cross-functional process activity, tool-build documentation, etc. * Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions * Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism * Provides regular coaching and feedback to direct reports * Devises and implements performance improvement plans for associates as applicable * Identifies and works with top performers for talent development and creates a leadership pipeline for own level * Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products Experience in e-commerce, retail or advertising Working knowledge of Machine learning Certified or Green belt trained in Lean Six Sigma Familiarity with tools like QuickSight and Tableau 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.