952 Annotation Jobs - Page 37

Excelra is currently seeking passionate and detail-oriented professionals for the role of Omics Metadata Annotation and Harmonization Specialist / Data Asset Creator / Subject Matter Expert . If you have a strong background in life sciences and a keen interest in enhancing the quality and usability of large-scale omics datasets, we would love to connect with you! About the Role: As part of our dynamic team, you will: Curate and annotate omics metadata (genomics, epigenomics, transcriptomics, proteomics). Apply controlled vocabularies and ontologies (e.g., MeSH, GO, EFO) to ensure data consistency. Harmonize metadata across diverse datasets to support integrative research. Uphold FAIR data principles to enable seamless data integration and analysis. What Were Looking For: Ph.D./M.Sc./M.Tech in Life Sciences with strong domain knowledge. Experience with molecular biology techniques and omics data interpretation. Familiarity with repositories like GEO, ArrayExpress, NCBI, and ontologies. Excellent communication, problem-solving skills, and attention to detail. Bonus Skills: Experience in metadata curation and harmonization. Knowledge of Linux, BASH scripting, R, or cloud computing. Why Excelra? At Excelra, we blend scientific expertise with cutting-edge technology to transform research data into actionable insights. Join us in driving innovation in drug discovery and development. Location: Hyderabad, Bangalore, Delhi/NCR If this opportunity excites you or someone in your network, we encourage you to apply or share this message. Looking forward to hearing from you!

About The Role: As a Subject Matter Expert (SME) in Data Annotation, you will play a critical role in ensuring the highest quality of data labelling across various projects. Technical and Domain expert Mentor annotation teams Establish annotation guidelines Conduct quality audits Support client and internal teams with domain-specific insights. Tools Experience Expected: CVAT, Amazon SageMaker, BasicAI, LabelStudio, SuperAnnotate, Loft, Cogito, Roboflow, Slicer3D, Mindkosh, Kognic, Praat Annotation Expertise Areas: Image, Video: Bounding Box, Polygon, Semantic Segmentation, Keypoints 3D Point Cloud: LiDAR Annotation, 3D Cuboids, Semantic Segmentation Audio Annotation: Speech, Noise Labelling, Transcription Text Annotation: NER, Sentiment Analysis, Intent Detection, NLP tasks Exposure to LLMs and Generative AI data annotation tasks (prompt generation, evaluation) Key Responsibilities: Act as a Subject Matter Expert to guide annotation standards, processes, and best practices. Create, refine, and maintain detailed annotation guidelines and ensure adherence across teams. Conduct quality audits and reviews to maintain high annotation accuracy and consistency. Provide domain-specific training to Data Annotators and Team Leads. Collaborate closely with Project Managers, Data Scientists, and Engineering teams for dataset quality assurance. Resolve complex annotation issues and edge cases with data-centric solutions. Stay current with advancements in AI/ML and annotation technologies and apply innovative methods. Support pre-sales and client discussions as an annotation domain expert, when required. Key Performance Indicators (KPIs): Annotation quality and consistency across projects Successful training and upskilling of annotation teams Timely resolution of annotation queries and technical challenges Documentation of guidelines, standards Client satisfaction on annotation quality benchmarks Qualifications: Bachelor's or master's degree in a relevant field (Computer Science, AI/ML, Data Science, Linguistics, Engineering, etc.) 3–6 years of hands-on experience in data annotation, with exposure to multiple domains (vision, audio, text, 3D). Deep understanding of annotation processes, tool expertise, and quality standards. Prior experience in quality control, QA audits, or SME role in annotation projects. Strong communication skills to deliver training, documentation, and client presentations. Familiarity with AI/ML workflows, data preprocessing, and dataset management concepts is highly desirable. Work Location: In-person (Salem, Tamil Nadu) Schedule: Day Shift Monday to Saturday Weekend availability required Supplemental Pay: Overtime pays Performance bonus Shift allowance Yearly bonus INTERVIEW TYPE: Walkin(293/4, MG Rd, New Fairlands, Salem-636016) Contact:9489979523(HR) Walkin timings: 22nd May,2025(2.30pm-6pm),23rd May,2025(9.00am-6pm) Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Schedule: Day shift Experience: data annotation: 2 years (Preferred) Work Location: In person

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. R_288254 Show more Show less

SUMMARY The consultant will contribute to an ICMR-funded project focused on healthcare advancements by performing critical data annotation tasks for AI models. ABOUT US Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows Cultures page of Wadhwani AI - https://www.wadhwaniai.org/culture/ ROLES AND RESPONSIBILITIES The consultant will work on an ICMR-funded project, contributing to advancements in healthcare by supporting critical data annotation tasks for AI models aimed at improving health outcomes. A consultant is expected to watch a video or multiple images and mark specific features of the video pertaining to video quality, video content (including optical character recognition), and highlighting different objects in the video. The organization may decide to modify these as per project requirements. Watch a video and check it against a variety of criteria to gauge its validity. Criteria include things such as errors in the video, problems related to the baby, problems related to lighting and shadows, other people appearing in the video, problems with reference objects, and problems with capturing the trajectory or arc. The reporting manager or the team member of the project shall train the consultant and the consultant needs to support the team accordingly. REQUIREMENTS Bachelor’s Degree from an accredited university or college. Work experience as a Data Annotator for 1-3 years, specifically on image-based annotation projects. Must be in Delhi Available to work from the office. EQUAL OPPORTUNITY STATEMENT: We are committed to promoting diversity and the principle of equal employment opportunity for all our employees. We encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at careers@wadhwaniai.org. For more information , please refer to the link below: https://docs.google.com/document/d/1ODJG-FpTImoYY0F2WkbHNvom5qKGJ8eL/edit?usp=sharing&ouid=100981313092764909601&rtpof=true&sd=true

About Turing Turing is an AI-powered tech services company with a mission to accelerate AGI advancement and deployment by bridging the gap between global talent from 100+ countries and the world's best foundational LLM companies by helping them improve performance through model evaluation, fine-tuning, feedback, factuality, and handling diverse data. Role Overview A leading US-based technology company is seeking skilled individuals with strong English proficiency and clear verbal communication to join a cutting-edge AI project as Audio/Voice/Annotation Trainers. This role supports the development of large language models (LLMs) by recording audio samples, annotating voice data, and ensuring accuracy and consistency in accordance with project guidelines. This is a unique opportunity to shape the future of AI systems' understanding of voice, intonation, and pronunciation—while working with some of the most innovative LLM teams in the industry. Key Responsibilities: Record high-quality audio by reading scripts and prompts clearly and consistently. Annotate and label voice data for use in supervised AI model training. Deliver accurate, consistent outputs across large volumes of tasks. Share feedback to help refine prompts and instructions. Work closely with QA and project leads to ensure annotation quality. Requirements: English Proficiency: Strong skills in reading, writing, and speaking. Accent Familiarity: Exposure to and comfort with a variety of regional accents. Attention to Detail: Ability to follow nuanced and specific instructions. Tech-Friendly: Comfortable using basic computer tools and handling audio files. Analytical Mindset: Able to grasp context and intent behind scripts. Communication: Professional and responsive in a remote, collaborative environment. Self-Starter: Able to work independently with minimal supervision. Availability: Ideally 20+ hours/week. Timezone Overlap: Availability for 2–5 hours/day overlap with UTC-8:00 (PST) may be required. Equipment: Reliable computer, good-quality microphone, and stable internet connection. Nice to Have: Experience in voiceover, podcasting, transcription, or linguistics. Familiarity with annotation tools or audio editing software. Access to high-quality recording equipment. Benefits: Work Remotely: 100% remote, flexible work setup. Competitive Compensation: Fair and attractive pay for your time and skills. Collaborate with Experts: Work alongside top-tier teams in AI and language technology. Skill Building: Hands-on experience with state-of-the-art LLM training processes. Note: Shortlisted candidates may be required to complete a coding assessment as part of the selection process. Show more Show less

Skill required: Marketing Operations - Content management Designation: Digital Content Management Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? PromoMats Project Manager What are we looking for? Strong attention to detail and accuracy in managing digital assets and metadata. Excellent communication and coordination skills with cross-functional teams. Experience with Veeva PromoMats or similar digital asset management tools. Ability to manage multiple tasks and projects simultaneously, ensuring timely and high-quality deliverables. Ability to work collaboratively with cross-functional teams, including MELs, Consultants, and creative professionals. Excellent communication and analytical skills to provide clear and actionable feedback. Roles and Responsibilities: Create and Manage Placeholders: Establish placeholders for assets in the PromoMats tool, ensuring that all mandatory metadata fields, including file names, descriptions, countries/products, and expiry dates, are accurately filled out. Metadata Compliance: Ensure that all required metadata fields, such as content purpose, key messages, and customer specialty, are diligently completed. Pre-MLR Checks: Collaborate with the Medical Referencing Analyst and the creative team to encourage and facilitate pre-MLR (Medical, Legal, Regulatory) checks. Document Number Assignment: Provide the Placeholder/document number to the creative team, ensuring that this number is added to the PDFs/creative assets end matter, with verification by the PromoMats Manager. Document Review and Annotation: Perform a thorough review of documents received from the creative team to confirm their appropriateness for annotation. Assign documents to PromoMats Analysts for annotations, and conduct reviews and quality assurance checks to ensure all content updates and annotations are correctly incorporated. Content and Creative Updates: Coordinate with the creative team to handle any content or creative updates based on client or MLR reviewers decisions, and manage the workflow for proofreading and content readiness checks. Ownership Management: Oversee content ownership changes, ensuring proper delegation to the creative team for editing, and maintaining accurate records of content creator and owner. Annotation Process Management: Receive jobs for annotation, delegate tasks to the team, perform QA post-annotations, and prepare jobs for MLR submission. Team Coordination: Collaborate with various teams to coordinate updates or changes in assets/components and ensure the timely resubmission of jobs to MLR after updates. Any Graduation Show more Show less

The MSCI Data Collections team is primarily responsible for collecting and validating Company Data, ESG, Real assets raw input data from publicly available sources. Daily, the team collects data production and coordinates with stakeholders to understand task priorities. They also ensure quality by reviewing data, ensuring it is up-to-date and adheres to MSCI's data collection guidance and methodology. Additionally, the team's drive to innovate and leverage technology leads them to initiate and collaborate on programs related to data quality and process improvements, such as automation, workflow streamlining projects, and building data QA models. Good understanding of numbers (millions, billions, percentages). Proficient in MS Excel (data entry, navigating multiple spreadsheets, using lookup functions). Skilled in using snipping and annotation tools for snapshots. Knowledge of SharePoint Document Library/Teams for file transfer and communication. Ability to navigate company websites, particularly the investor relations section. Experience extracting data from aggregating websites (e.g., SEC.gov, SEDAR, exchanges). Familiar with public company reporting (10-Ks, annual reports, financial statements, interim reports, bond prospectus, corporate governance documents). Knowledge of capital markets, including navigating stock details on exchanges. Understanding of common corporate events and their impact on securities and issuers. Awareness of different types of listings in various countries (USA, Japan, UK, China). Familiarity with data protection and infringement guidelines (knowing permissible websites for data download). Gather and analyze geographic data using various methods and tools. Proficient in geospatial analysis, data visualization, and understanding spatial relationships. Knowledge of capital markets, corporate events, international listings, and data protection guidelines. Analytical approach to data collection, asking questions to understand data, especially when investigation is needed. Detail-oriented with the ability to spot errors and connect the dots regarding assigned tasks. Adequate written and oral communication skills with high proficiency in English, able to converse easily with the team. Willingness and ability to learn new concepts quickly. Ability to follow standard operating procedures (SOPs) and extend them in cases of uncovered exceptions. Would be an asset if (Good to have but not mandatory) Ability to make and defend sound and consistent judgments, showing expertise when needed. Intrinsically motivated to improve personal performance and constantly seek ways to improve the processes they work with. What We Offer You Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose - to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com Show more Show less

Job Description: Position : Lead Computer Vision Engineer Location : Hyderabad Experience Required: 6+ years in Automation Manufacturing Industries Job Type: Full-Time Industry: Automation, Manufacturing, Technology Key Responsibilities: Computer Vision Development & Implementation : Design, develop, and deploy computer vision solutions for automation in manufacturing plants. Utilize tools like OpenCV, DeepStream, and cloud platforms (AWS, Azure) for building scalable and efficient systems. Team Management & Development : Lead and manage a team of up to 10 engineers, including junior and mid-level Computer Vision Engineers. Recruit, mentor, and train team members and interns in coding and development best practices. Conduct Performance Management System (PMS) reviews for team growth and productivity. Data Management & Quality Control : Oversee data collection, annotation, and validation processes for computer vision projects. Ensure high-quality datasets and proper administration of data pipelines. Cross-Functional Collaboration : Work closely with sales and management teams to understand project requirements and deliver innovative solutions. Communicate technical concepts effectively to stakeholders. Coding & Technical Leadership : Actively contribute to coding tasks and troubleshoot complex issues. Ensure the team maintains strong coding standards and practices. Deployment & Operations : Manage plant-level deployments of computer vision systems, ensuring seamless integration and performance. Handle entire projects independently from start to finish while ensuring timely delivery and quality. Ability to handle simultaneous projects single-handedly, maintaining efficiency and high standards. Support dynamic startup environments with flexible timing and multitasking abilities. Key Skills Required: Strong coding proficiency in Python, OpenCV, and cloud engineering platforms (AWS, Azure). Experience with DeepStream and real-time computer vision applications. Data management, data administration, and quality assurance expertise. Proven ability to lead and mentor teams in a fast-paced, dynamic environment. Hands-on experience in plant deployments and troubleshooting in manufacturing setups. Effective multitasking and adaptability to startup culture. Strong problem-solving and creative thinking skills. Preferred Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. Experience in automation and manufacturing industries. Ability to recruit and build technical teams aligned with organizational goals. Familiarity with performance evaluation and team management tools. Show more Show less

Description: We are looking for a Malayalam Transcription Specialist to join our growing team. This role involves converting spoken Malayalam audio into well-structured and grammatically accurate written text. If you have a strong command over the Malayalam language and an eye for detail, this is an excellent opportunity — especially for fresh graduates or postgraduates in Malayalam. Requirements: Graduate or Postgraduate in Malayalam (mandatory). Strong command over spoken and written Malayalam with grammatical accuracy. Excellent listening skills and attention to detail. Good typing speed and accuracy (training will be provided). Ability to work with different accents and varied audio content. Comfortable with rotational and night shifts. Job Responsibilities: Accurately transcribe Malayalam audio recordings into written text. Ensure proper grammar, punctuation, and formatting standards are followed. Review and edit transcripts to maintain clarity, accuracy, and completeness. Understand and capture tone, context, and cultural nuances in the transcription. Work with transcription tools to ensure efficient delivery. Provide quality assurance and feedback where necessary. Collaborate with peers to enhance processes and maintain consistency. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Skill required: User-Generated Content Moderation - Content Moderation Designation: Delivery Operations Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? "Content moderation is meaningful work that helps keep the internet safe. It may also be challenging, at times. In the context of this role, individuals may be directly or inadvertently exposed to potentially objectionable and sensitive content (e.g., graphic, violent, sexual, or egregious). Therefore, content moderators need strong resilience and coping skills. We care for the health and well-being of our people and provide the support and resources needed to perform their role responsibilities. Active participation in Accenture’s well-being support program, designed specifically for the Trust & Safety community, provides valuable skills to promote individual and collective well-being. Identify the spam content to provide genuine search results. Help the victims to remove their explicit videos / Photographs from global sites. Remove the Personal Identifiable information reported by the user from various search results. Addressing ad blocking through improving ad experiences across the web. Data annotation is used by companies to help identify patterns and improve accessibility to content. Annotators spend their time reviewing and scrutinizing the data closely to ensure that it is accurately tagged. Annotators help categorize content and work on videos, audios, map, advertisements, images, and other types of material. They assess the content and then attach tags to the content, further identifying, classifying & labelling objects, ultimately contributing to AIML." What are we looking for? "Collaborate with clients to review SOPs, improving policies, and sharing the recommendations. Focus on people and end-to-end management of team including timely communication and connects. Documentation of feedback and any key communication along with conducting daily huddles. Enhance, develop, and improve tool features and enablement strategies. Prepare training materials in line with policy understanding and arranging a training or refresher after authorization. Verify that the production teams data follows project-specific guidance and the scope of work. Track error rates for trends indicating the?need for refresher training of team members. Manage the planning and development of metrics reports by reviewing reports and performance indicators of team members to identify methods of process improvement. Obtain and analyse relevant data to provide quality improvement methodologies and lead improvement initiatives. Perform real-time audits on project data and analyse and provide feedback to internal teams. Depending on demand and project complexity, distribute reports on project quality and operator quality. Collaborate with support teams to identify process improvement opportunities and ensure optimal SLA delivery. Stakeholder Management. Strong communication- Verbal & Email Writing. Functional skills- reporting and dashboarding. Domain Experience. Client Handling, Innovation, Critical thinking, learning agility, ownership mentality & emotional intelligence. MS Office- Proficiency P1. Proven Team handling experience- 2-3years, Team size: 20. Operational- Metric Management. Annotation/Mapping/content moderation experience. Experience with interest in Digital Marketing/content moderation/Annotation. Ensure compliance in following Accenture and client policies/practices. Ensure all the required daily/weekly/monthly templates and reports are updated on time and shared to the relevant stakeholders." Roles and Responsibilities: "Understand Client Policies and Guidelines. Ability to establish strong client relationship. Ability to meet deadlines and metrics. Ability to work well in a team and coordinate well with the support staff. Adaptable and flexible with problem solving skills. Identify improvement opportunities in workflow and suggest solutions. Interact effectively with other internal and Client teams. Review and validate reports before client submission. Achieve quality standards for all relevant metrics " Any Graduation Show more Show less

As a leading global contract research organization (CRO) with a passion for scientific rigor and decades of clinical development experience, Fortrea provides pharmaceutical, biotechnology, and medical device customers a wide range of clinical development, patient access, and technology solutions across more than 20 therapeutic areas. Conducting operations in ~100 countries, Fortrea is transforming drug and device development for partners and patients across the globe. Perform allied activities such as generation of outputs/reports from the databases or safety systems, distribution of data requests, sales data calculations, regulatory website searches, collating report planning materials, etc. Author parts of various safety reports for global regulatory submissions, including but not limited to Annual Reports (IND and other), Periodic Safety Update Reports, Periodic Adverse Drug Experience Reports, Periodic Benefit-Risk Evaluation Reports, Development Safety Update Reports, Risk Management Plans, and other documents as assigned. Develop the assigned report parts, examples of which may include sections with majorly pre-populated template text, re-use of content from other documents, or low to medium complexity of safety analyses. Review and annotate line listings, prepare case narratives ordata summaries, and present data per approved strategy. Participate in comment resolutiondiscussions for the assigned sections. Support medical writers in signal detection activities, including data cleaning, review, and annotation of line listings, creating supporting material for signal review meetings, and preparing parts of signal reports. Fortrea is actively seeking motivated problem-solvers and creative thinkers who share our passion for overcoming barriers in clinical trials. Our unwavering commitment is to revolutionize the development process, ensuring the swift delivery of life-changing ideas and therapies to patients in need. Join our exceptional team and embrace a collaborative workspace where personal growth is nurtured, enabling you to make a meaningful global impact. For more information about Fortrea, visit www.fortrea.com. Fortrea Is Proud To Be An Equal Opportunity Employer As an EOE/AA employer, Fortrea strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply. For more information about how we collect and store your personal data, please see our Privacy Statement. If you require a reasonable accommodation to complete your job application, pre-employment testing, job interview or to otherwise participate in the hiring process, please contact: taaccommodationsrequest@fortrea.com. Please note that this e-mail address is only for job seekers requesting an accommodation. Please do not use this e-mail to check the status of your application. Show more Show less

Job Title: REVIT BIM Specialist Job Description We are seeking a highly skilled REVIT BIM Specialist with an exceptional understanding of BIM procedures, strategies, and workflow. The ideal candidate will be proficient in Revit and BIM, with the ability to create plans, sections, and elevations. This role requires familiarity with family creation, including nested, system, and adaptive families, as well as hands-on experience in view templates, documentation, and annotation. The specialist will integrate telecommunications system components with building design and use BIM software tools such as Revit and BIM360 effectively. Responsibilities Develop and manage BIM models using Revit and BIM360. Create detailed plans, sections, and elevations. Design and create various families, including nested, system, and adaptive families. Apply view templates, documentation, and annotation techniques. Integrate telecommunications system components with building designs. Ensure compliance with BIM procedures, strategies, and workflow. Essential Skills Exceptional understanding of BIM procedures, strategies, and workflow. Proficient knowledge of Revit and BIM. Experience in creating plans, sections, and elevations. Familiarity with family creation, including nested, system, and adaptive families. Hands-on experience with view templates, documentation, and annotation. Proficiency in using BIM software tools such as Revit and BIM360. Additional Skills & Qualifications Knowledge of AutoCAD. Experience in integrating telecommunications systems with building design. Work Environment You will work in an environment that values innovation and precision. The role involves using advanced BIM software tools, including Revit and BIM360. The dress code is business casual, and you will collaborate with a team of professionals dedicated to excellence in building design and integration. Diversity, Equity & Inclusion At Actalent, Diversity And Inclusion Are a Bridge Towards The Equity And Success Of Our People. DE&I Is Embedded Into Our Culture Through Hiring diverse talent Maintaining an inclusive environment through persistent self-reflection Building a culture of care, engagement, and recognition with clear outcomes Ensuring growth opportunities for our people Actalent is an equal opportunity employer. About Actalent Actalent is a global leader in engineering and sciences services. For more than 40 years, we’ve helped visionary companies advance their goals. Headquartered in the United States, our teams span 150 offices across North America, EMEA, and APAC—with four delivery centers in India led by 1,000+ extraordinary employees who connect their passion with purpose every day. Our Bangalore, Hyderabad, Pune, and Chennai delivery centers are hubs of engineering expertise, with core capabilities in mechanical and electrical engineering, systems and software, and manufacturing engineering. Our teams deliver work across multiple industries including transportation, consumer and industrial products, and life sciences. We serve more than 4,500 clients, including many Fortune 500 brands. Learn more about how we can work together at actalentservices.com. Show more Show less

Company Description FiveS Digital is a technology-led Business Process Management organization that prioritizes customer and community-centric approaches. With over 15 years of experience, we have expanded to 9 locations across India and speak and process 13+ languages. Our BPM delivery center in Navi Mumbai is India’s first diverse and inclusive workspace, certified as a women-owned diversity unit by WeConnect International, USA. We offer key services in customer experience management, RPA/IPA-led digital transformation, and data annotation, among others, ensuring that our growth doesn't compromise our commitment to diversity, equity, and inclusivity. Role Description This is a full-time on-site role for a Customer Service Specialist based in Noida. The Customer Service Specialist will handle customer inquiries via phone and email, ensuring high levels of customer satisfaction. Daily tasks include troubleshooting issues, providing information about products and services, following up with customers, and maintaining detailed records of interactions. The role also involves collaborating with internal teams to resolve complex customer issues and improving overall customer experience. Qualifications Customer Support, Customer Service, and Customer Experience skills Proficiency in maintaining Customer Satisfaction and Phone Etiquette Excellent communication and interpersonal skills Ability to multitask and manage time effectively Experience in a similar role is preferred A Bachelor’s degree or equivalent education level Strong problem-solving skills and attention to detail Familiarity with CRM systems and practices is a plus Show more Show less

Job Summary We are looking for an enthusiastic and experienced Full-Time Bioinformatics Trainer to conduct both online and offline (in-person) training sessions. The ideal candidate will possess strong subject matter expertise in bioinformatics and genomics, along with effective teaching and mentoring skills. This role involves delivering practical, hands-on training to learners across various formats and ensuring academic excellence in our bioinformatics programs. Key Responsibilities Conduct Online and Offline Training: Deliver structured and interactive bioinformatics classes both virtually and in-person at our Bangalore, Hyderabad, or Chennai training centers. Hands-On Tool Training: Guide students through practical exercises using essential bioinformatics tools, software, and databases (e.g., BLAST, FASTA, NCBI, Ensembl, UCSC Genome Browser, Galaxy, etc.). Curriculum Implementation: Follow and contribute to the pre-designed curriculum, ensuring it meets current industry standards and student needs. Genomics Expertise: Teach core genomics topics such as next-generation sequencing (NGS), genome assembly, annotation, gene expression analysis, and variant calling. Support and Mentoring: Address student queries, support individual learning, and offer personalized mentorship to ensure student success. Assessment & Feedback: Evaluate learner performance through quizzes, assignments, and capstone projects. Provide constructive feedback for academic improvement. Update Training Resources: Work with the academic team to maintain and update course materials and hands-on modules in line with the latest industry trends. Stay Current: Keep up-to-date with new developments in bioinformatics, genomics tools, and educational methodologies. Qualifications Master’s or Ph.D. in Bioinformatics, Computational Biology, Genomics, or related field. Strong knowledge of core bioinformatics principles, genome analysis techniques, and hands-on tools. Proficiency in one or more programming languages (e.g., Python, R). Excellent communication and teaching skills. Experience conducting in-person and/or online training sessions. Ability to explain complex technical concepts clearly to students at different levels. Preferred Skills Previous teaching/training experience in bioinformatics. Experience using Learning Management Systems (LMS). Familiarity with Linux/Unix environments for bioinformatics workflows. Experience in creating or contributing to educational content, including videos and tutorials. Work Schedule Full-Time position. Hybrid format: You will be expected to conduct both online sessions and in-person classes at one of our physical training centers (Bangalore, Hyderabad, or Chennai). Monday to Saturday schedule (occasional weekend workshops may be required). Flexibility to accommodate learners in different time zones (if needed for online sessions). Compensation Attractive salary package commensurate with experience and qualifications. Opportunities for career advancement, academic leadership, and professional development. Join Us Be part of CliniLaunch’s mission to empower the next generation of bioinformatics professionals with practical knowledge and industry-relevant skills. Job Types: Full-time, Permanent Pay: ₹50,000.00 per month Benefits: Provident Fund Work Location: In person

EXPERIENCE THAT MATTERS Our Employees Always Come First Get the Recognition You Deserve Best Opportunity to Learn & Grow Freedom & Flexibility to Perform Balance Your Professional & Personal Life Professional Yet Friendly Environment Stay Abreast with Current Technologies Think like an Entrepreneur Opportunity to Innovate & Succeed We Help Bring Out the Best in You LAUNCH A NEW CHAPTER IN YOUR CAREER Flaunt Your Talent Vrinsoft is more than your Workstation. It is an opportunity to showcase your talent too. Fueling Sportsmanship An opportunity to work in tandem with your teammates and build your team spirit Employee Collaboration A Professional Environment to collaborate with teammates! Brainstorming & exploring various perspectives Festival Celebrations Maintain the Festive Spirit as Well – We Celebrate all Festivals Ideas Worth Spreading The perfect platform to innovate, perform well and grow. Fit For Life We believe in a healthy lifestyle & support your zeal to stay fit. Helping Hands Expert help is always available to get you out of a fix. Read Learn Discover A good place to explore your potential and continue to learn and grow. WHAT WE LOOK FOR? 01. Positive Attitude Maintain a positive attitude and follow the office culture. Embrace the core values & maintain a good team attitude. 02. Leadership Traits We welcome those with leadership skills to contribute to the team and explore their potential. 03. Excellent Team Player Good team spirit and an ability to work closely with other team members. 04. Learn and Grow Eager to learn further & expand their knowledge. Passion to further their career. 05. High Goals People who set their goals high and make an effort to achieve them. 06. Self-Motivated We like self-motivated employees who have a passion for their work? RECRUITMENT PROCESS Step 01 Shortlist Candidates Accept candidate profiles Screen profiles Evaluate & verify eligibility Initial HR interview Step 02 Practical Test Aptitude test Technical test Skill test (as applicable) Step 03 Evaluation Skill Level Basic level Advanced level Expert level Step 04 HR Round Company Policies Company Culture & Perks Remuneration Answer your questions Trainee AI ML 0 - 1 years Ahmedabad Job Title: AI/ML Intern / Fresher (Entry-Level) Location: Ahmedabad, Gujarat, India (Work from Office) Experience: 0-1 year Department: Artificial Intelligence / Machine Learning Role Overview: We are looking for enthusiastic and self-motivated AI/ML Interns and Entry-Level Engineers to join our growing AI/ML department. This is a foundational opportunity to learn and contribute to cutting-edge AI solutions in domains such as healthcare, fintech, manufacturing and many more. You’ll get hands-on experience working on real-world projects, guided mentorship, and structured training. Key Responsibilities: Support data preprocessing, analysis, and annotation tasks Work on Python-based data pipelines and scripting Assist in training, evaluating, and fine-tuning machine learning models Contribute to mini-projects in computer vision, NLP, and tabular data Write clean, well-documented code and Jupyter notebooks Learn and apply tools like Pandas, Scikit-learn, TensorFlow, FastAPI, etc. Collaborate with developers, data scientists, and project managers Participate in weekly knowledge-sharing and review sessions Basic Qualifications: Bachelor's degree in Computer Science, IT, Electronics, or related field, M. Sc. (IT), M.C.A. (or currently pursuing) or College dropout with exceptional programming skills. Strong in Object Oriented Programming. Strong foundational understanding of programming concepts, frameworks (Python preferred) Basic understanding of databases (SQL or NoSQL) Familiarity with libraries such as NumPy, Pandas, Matplotlib Good communication and problem-solving skills Eagerness to learn new AI/ML concepts and techniques Team player, can work under pressure and self-motivated Bonus (Not Mandatory): Exposure to any ML frameworks (Scikit-learn, Keras, TensorFlow, PyTorch) Familiarity with APIs, Flask/FastAPI, or web development basics Understanding of basic statistics, linear regression, or classification algorithms Participation in Kaggle competitions, GitHub repos, or open-source contributions Why Join Us? Hands-on AI/ML project experience with mentorship Access to internal training material and curated AI learning paths Exposure to tools used in real-world MLOps and AI deployments Certificate of internship / Letter of recommendation (for interns) Strong potential for full-time employment based on performance Apply Now On hr@vrinsofts.com OR Call Us on +91 7043 339154

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. About Lilly: At Lilly, we unite caring with discovery to make life better for people worldwide. We are one of the Top 10 most valued companies of the world, and global healthcare leader headquartered in Indianapolis, Indiana. Our 44,000 employees work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the globe. We have pioneered the development of several significant drugs and treatments over the years – and strong pipeline including being the first to mass produce insulin, penicillin, tuberculosis (MDR-TB) and polio vaccines . At Lilly, our research and product-oriented mindset and focus on Accelerate, Reach and Scale using new-gen technologies helps us redefine what is possible through technology in pharma. Impact driven growth combined with a commitment to make a real difference in lives makes Lilly the place of choice for the best talent to come together and be at the forefront of innovation and acceleration . Join us to make significant difference in the well-being of people worldwide. Job Title: Data Science Job Level: Principal Scientist I/II - Data - Advanced Analytics - LCCI Experience Level: 7 to 10 Years Qualification and Eligibility criteria: B.Tech./Masters/PhD. in Computer Vision related field Location : India – Bengaluru Purpose of the Role: The Data Scientist collaborates directly with business stakeholders to design and deploy state-of-the-art machine learning, deep learning, optimisation, and computer vision algorithms. These solutions address complex challenges across diverse domains, including manufacturing vision-based inspections, medical imaging, robotics vision, and finance. This role requires a proactive approach to developing and deploying algorithms in suitable environments to achieve impactful results. Key Responsibilities: 1. Apply traditional and advanced computer vision algorithms to solve complex challenges. 2. Handle imbalanced, noisy, and high-dimensional datasets, ensuring robust and scalable outcomes. 3. Partner with cross-functional teams to solve problems in manufacturing, medical imaging, robotics vision, finance, etc. 4. Configure and integrate imaging systems, including cameras and sensors, for diverse operational settings such as labs, manufacturing floors, and robotics systems. 5. Build and optimize models for various scenarios, including real-time inference, batch processing, and edge computing. 6. Lead the end-to-end lifecycle of model development, deployment, and performance monitoring across different environments, including labs, manufacturing floors, and edge devices. 7. Leverage machine learning, optimisation, and deep learning techniques to enhance manufacturing line capacity and reduce downtime. 8. Utilize CI/CD workflows, version control systems (e.g., Git), and Docker to ensure reproducible and efficient research processes. 9. Leverage expertise in image annotation tools and image registration methods for domain-specific challenges. 10. Mentor team members and foster collaboration within cross-functional teams to drive innovation and solve technical problems Essential Tech knowledge: Core Software Development and Programming 1. Advanced proficiency in Python; experience with C++ is a plus. Familiarity with scalable software development practices and integration of hardware systems into software solutions. Core Computer Vision Expertise 2. Proficiency in traditional algorithms (e.g., edge detection, feature extraction) and modern deep learning approaches (e.g., CNNs, object detection, and segmentation). 3. Experience with image processing libraries such as OpenCV, PIL, and scikit-image. 4. Knowledge of 3D point cloud processing, essential for LiDAR and object reconstruction tasks. Deep Learning and Machine Learning 5. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras. 6. Expertise in vision-based architectures like LeNet, ResNet, YOLO, UNet, EfficientNet, and SAM. 7. Familiarity with optimisation techniques, including model quantisation, pruning, and deploying real-time inference on edge devices. Data Acquisition and Image Handling 8. Knowledge of various imaging modalities (RGB, thermal, histology, and microscopic) acquired from domains like manufacturing, medical imaging, finance, and robotics. 9. Familiarity with specialised medical imaging libraries (e.g., MONAI, ITK/Simple ITK) is preferred. Toolsets and Domain-Specific Knowledge 10. Experience with image annotation tools and image registration methods. Familiarity with tools for edge deployments (e.g., NVIDIA Jetson). Essential Behavioural Skills: 1. Strong communication, leadership, and critical thinking abilities, coupled with effective decision-making skills. 2. Exceptional interpersonal skills, with a talent for building professional networks and collaborating within globally distributed teams. 3. A commitment to continuous learning, shared knowledge, and the adoption of industry best practices. 4. Excellent self-management and adaptability to thrive in ambiguous situations. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Identification and labeling of named entities in text Classifying documents into different categories Validating the output of Machine Learning models Identifying common patterns in datasets Job Types: Full-time, Permanent, Fresher Pay: ₹18,086.00 - ₹42,457.01 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you excited by the challenge of pushing the boundaries with the latest advancements in computer vision and multi-modal Large Language Models? Does the idea of working on the edge of AI research and applying it to create industry-defining software solutions resonate with you? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. This role will place you at the forefront of this mission, architecting and implementing sophisticated AI systems that unlock novel insights from complex multimedia sports data. We are looking for Principal / Sr Principal Engineers to join us on this mission. Key Responsibilities: Technical Leadership & Architecture: Lead the design and architecture of scalable and robust AI/ML systems, particularly focusing on computer vision and LLM applications for sports media analysis. Model Development & Training: Spearhead the development, training, and fine-tuning of sophisticated deep learning models (e.g., object detectors like RT-DETR, custom classifiers, generative models) on large-scale, domain-specific datasets (like sports imagery and video). Generalized Object Detection: Develop and implement advanced computer vision models capable of identifying a wide array of visual elements (e.g., logos, brand assets, on-screen graphics) in diverse and challenging sports content, including those not seen during training. LLM & GenAI Integration: Explore and implement solutions leveraging LLMs and Generative AI for tasks such as content summarization, insight generation, data augmentation, and model validation (e.g., using vision models to verify detections). System Implementation & Deployment: Build and deploy production-ready AI/ML pipelines, ensuring efficiency, scalability, and maintainability. This includes developing APIs and integrating models into broader Nielsen Sports platforms. UI/UX for AI Tools: Guide or contribute to the development of internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities, facilitate data annotation, and allow for human-in-the-loop validation. Research & Innovation: Stay at the forefront of advancements in computer vision, LLMs, and related AI fields. Evaluate and prototype new technologies and methodologies to drive innovation within Nielsen Sports. Mentorship & Collaboration: Mentor junior engineers, share knowledge, and collaborate effectively with cross-functional teams including product managers, data scientists, and operations. Performance Optimization: Optimize model performance for speed and accuracy, and ensure efficient use of computational resources (including cloud platforms like AWS, GCP, or Azure). Data Strategy: Contribute to data acquisition, preprocessing, and augmentation strategies to enhance model performance and generalization. Required Qualifications: Bachelors of Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 5+ years (for Principal / MTS-4) / 8+ years (for Senior Principal / MTS-5) of hands-on experience in developing and deploying AI/ML models, with a strong focus on Computer Vision. Proven experience in training deep learning models for object detection (e.g., YOLO, Faster R-CNN, DETR variants like RT-DETR) on custom datasets. Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth. Proficiency in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras. Demonstrable experience with Multi Modal Large Language Models (LLMs) and their application, including familiarity with transformer architectures and fine-tuning techniques. Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django). Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow). Strong software engineering fundamentals, including code versioning (Git), testing, and CI/CD practices. Excellent problem-solving skills and the ability to work with complex, large-scale datasets. Strong communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences. Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models for tasks like image analysis, description, or validation. Track record of publications in top-tier AI/ML/CV conferences or journals. Experience working with sports data (broadcast feeds, social media imagery, sponsorship analytics). Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/ML services. Experience with video processing and analysis techniques. Familiarity with data pipeline and distributed computing tools (e.g., Apache Spark, Kafka). Demonstrated ability to lead technical projects and mentor team members. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. 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

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you excited by the challenge of pushing the boundaries with the latest advancements in computer vision and multi-modal Large Language Models? Does the idea of working on the edge of AI research and applying it to create industry-defining software solutions resonate with you? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. This role will place you at the forefront of this mission, architecting and implementing sophisticated AI systems that unlock novel insights from complex multimedia sports data. We are looking for Principal / Sr Principal Engineers to join us on this mission. Key Responsibilities: Technical Leadership & Architecture: Lead the design and architecture of scalable and robust AI/ML systems, particularly focusing on computer vision and LLM applications for sports media analysis. Model Development & Training: Spearhead the development, training, and fine-tuning of sophisticated deep learning models (e.g., object detectors like RT-DETR, custom classifiers, generative models) on large-scale, domain-specific datasets (like sports imagery and video). Generalized Object Detection: Develop and implement advanced computer vision models capable of identifying a wide array of visual elements (e.g., logos, brand assets, on-screen graphics) in diverse and challenging sports content, including those not seen during training. LLM & GenAI Integration: Explore and implement solutions leveraging LLMs and Generative AI for tasks such as content summarization, insight generation, data augmentation, and model validation (e.g., using vision models to verify detections). System Implementation & Deployment: Build and deploy production-ready AI/ML pipelines, ensuring efficiency, scalability, and maintainability. This includes developing APIs and integrating models into broader Nielsen Sports platforms. UI/UX for AI Tools: Guide or contribute to the development of internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities, facilitate data annotation, and allow for human-in-the-loop validation. Research & Innovation: Stay at the forefront of advancements in computer vision, LLMs, and related AI fields. Evaluate and prototype new technologies and methodologies to drive innovation within Nielsen Sports. Mentorship & Collaboration: Mentor junior engineers, share knowledge, and collaborate effectively with cross-functional teams including product managers, data scientists, and operations. Performance Optimization: Optimize model performance for speed and accuracy, and ensure efficient use of computational resources (including cloud platforms like AWS, GCP, or Azure). Data Strategy: Contribute to data acquisition, preprocessing, and augmentation strategies to enhance model performance and generalization. Required Qualifications: Bachelors of Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 5+ years (for Principal / MTS-4) / 8+ years (for Senior Principal / MTS-5) of hands-on experience in developing and deploying AI/ML models, with a strong focus on Computer Vision. Proven experience in training deep learning models for object detection (e.g., YOLO, Faster R-CNN, DETR variants like RT-DETR) on custom datasets. Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth. Proficiency in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras. Demonstrable experience with Multi Modal Large Language Models (LLMs) and their application, including familiarity with transformer architectures and fine-tuning techniques. Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django). Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow). Strong software engineering fundamentals, including code versioning (Git), testing, and CI/CD practices. Excellent problem-solving skills and the ability to work with complex, large-scale datasets. Strong communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences. Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models for tasks like image analysis, description, or validation. Track record of publications in top-tier AI/ML/CV conferences or journals. Experience working with sports data (broadcast feeds, social media imagery, sponsorship analytics). Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/ML services. Experience with video processing and analysis techniques. Familiarity with data pipeline and distributed computing tools (e.g., Apache Spark, Kafka). Demonstrated ability to lead technical projects and mentor team members. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Show more Show less

We are seeking a detail-oriented Data Annotator to join our team and support our data processing operations. This role involves reviewing and tagging data entries, ensuring accuracy, and maintaining consistency across projects. Prior experience in Spanish or Irish content-related projects is highly preferred. Key Responsibilities: Review and annotate structured/unstructured data based on provided guidelines Ensure correct labeling, categorization, and formatting of data Work with various document types including text, images, or scanned forms Identify and flag inconsistencies or quality issues in datasets Maintain a high level of accuracy and follow project-specific instructions Collaborate with the team to meet daily or weekly annotation targets Required Skills & Qualifications: Good understanding of English and strong attention to detail Comfortable working with large volumes of repetitive data Basic computer and typing skills Ability to follow instructions and work independently Familiarity with working on structured forms, tables, or records Preferred Qualifications: Prior experience in Spanish or Irish data annotation, translation, or data entry projects Understanding of cultural context or regional content Experience in tools like Excel, Google Sheets, or custom data platforms Background in documentation, transcription, or back-office roles is a plus What We Offer: Opportunity to work on diverse global data projects Supportive team environment with room for skill development Competitive compensation based on performance and experience Job Types: Full-time, Permanent Pay: ₹6,000.00 - ₹12,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Experience: Data entry: 1 year (Required) Spanish / Irish: 1 year (Required) Work Location: In person

Courier / Logistics Full-Time Job ID: DGC00379 Gurgaon, Haryana 2-5 Yrs ₹3.5 - ₹8.2 Yearly Job description This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency. MAIN DUTIES - Follow project-specific guidelines to conduct research on e-commerce data. Evaluate the usefulness of product filters and results based on the research. Rate the e-commerce data according to the guidelines provided. Project Details Start Date: Immediately after completing the qualification process Duration: Ongoing Schedule : 5 -15 hours weekly; set your own schedule. This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary. Employment Type: Freelance/Independent Contract Location: Remote Language: English (US) Pay Rate: If your profile is a good match, well share the rate with you shortly By applying, youll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise. Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set. Joining us means contributing to our current project and becoming part of our dynamic network.

So, what’s the role all about? A Java fullstack software developer is responsible for both frontend and backend development using Java-based technologies. Here's an overview of what you might expect in a job description for this role. How will you make an impact? Investigate, measure, and report on client's risk of suspicious or fraudulent financial activity. Follow SOPs as per anti-money laundering laws and carry out investigations. Identify areas for improving alert investigation process. Collaborate with auditors and regulators to minimize money-laundering risks to client’s business. Report and make notes and records of any suspicious transactions or activities in an efficient and timely manner. Proactive work on investigations within SLA and be a strong performer in the team Be well versed with FCC investigator solutions including Actimize (if possible) Work within service levels, KPI’s and in line with the regulatory best practice. Be up to date with trainings conducted for the investigation team, including workshops, conferences, and any certification or refresher training as required. Review risk and complete risk assessments as required. Maintain and update your knowledge of anti-money laundering compliance rules, regulations, laws, and best practices. Take part in and lead anti-money laundering compliance training on identifying suspicious activity to other team members. Indirect/direct consulting to clients. Provide domain expertise support during pre/post service sales process. Have you got what it takes? Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute 2+ years of software development experience At least 2+ years of working experience in Core Java, proficient with Java algorithms and data structures Worked in high performance, highly available and scalable systems Strong experience with J2EE, Spring Framework, IOC, annotations Experience in any object-relational mapping (e.g. Hibernate) Strong knowledge of OOAD and Design patterns Development experience building solutions that leverage SQL and NoSQL databases Strong Development experience creating RESTful Web APIs Knowledge of BIG DATA and ETL Concepts (or BI tool like Tableau) will be added advantage Experience designing and developing scalable multi-tenant SaaS-based solutions Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP etc Development experience in Angular Experience working in and driving Continuous Integration and Delivery practices using industry standard tools such as Jenkins Experience working in an Agile methodology development environment and using work item management tools like JIRA Experience with version control tools – GIT, Perforce Ability to work independently and collaboratively, good communication skill Bring a culture of Innovation to the job Ability to work under high pressure High attention to details and accuracy Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP etc Experience working in and driving Continuous Integration and Delivery practices using industry standard tools such as Jenkins. Ability to work independently and collaboratively, good communication skill. Able to resolve problems of moderate scope which requires an analysis based on a review of a variety of factors. You will have an advantage if you also have: Experience in Big data What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next Nicer! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7243 Reporting into: Tech Manager Role Type: Individual Contributor

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 toimproving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the worlds most complex challenges and deliver more impact together. Role description: This role is a vital component of our Global Excellence Centre (GEC) at Arcadis, our centralized and fully integrated project delivery group. With over 3,000 talented individuals spread across offices in India, Romania, and the Philippines, our GEC provides Capability, Capacity, and a Competitive Advantage across various projects and services in collaboration with our global businesses. Specifically, within the APM Group (Advanced Process Manufacturing) of the GECs, cross-functional teams work on designing and developing innovative process engineering solutions for Pharmaceutical & Process industries. Our ability to effectively manage projects, assess client needs, and provide technical guidance is essential for delivering successful outcomes, employing the most innovative computational design methods. Role accountabilities: Manage P&ID project setup in CADWorx, ensuring alignment with project-specific requirements. Lead creation, modification, and review of P&IDs, ensuring adherence to project requirements and industry standards. Collaborate with engineering teams to provide technical support for specific plant design projects in CADWorx. Develop PFDs and accurate P&IDs representing process flow, equipment, and instrumentation details. Establish best practices for P&ID development and enforce standards within CADWorx. Conduct thorough reviews to ensure P&IDs comply with project specifications and relevant standards. Provide technical guidance to draftsmen, coordinate with interdisciplinary teams, and contribute to P&ID library development. Qualifications & Experience: Possess a Diploma in a relevant technical or engineering discipline and hold certification in CADWorx or similar Plant design software. Demonstrate proven experience as a CADWorx Plant PID Administrator or Coordinator in plant design or related industries. Have a minimum of 4+ years of experience in P&ID project administration. Showcase in-depth knowledge of CADWorx software, including customization, library management, and project-specific configurations. Exhibit proficiency in using Cadworx for developing, reviewing, and validating P&IDs, including expertise in symbol libraries and annotation tools. Display a strong understanding of engineering and design principles relevant to plant layout, process flow, piping design, and instrumentation. Possess proficiency in CAD software and related tools, with the ability to integrate Cadworx P&ID into existing design workflows. Nice to have: Bachelors degree in an in a relevant technical or engineering Discipline. Sound knowledge in handling projects on cloud systems and working with Autodesk BIM 360. Affiliation to professional organizations like Autodesk etc. Experience of integrating 2D CAD drawings into a database environment. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. Its 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. Youll do meaningful work, and no matter what role, youll 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. #LI-IP1

Job Summary: We are looking for detail-oriented and dedicated individuals to join our team as Data Annotation Associates. This role involves labelling, categorizing, and annotating data (text, images, audio, or video) to train AI and machine learning models. No prior experience is required, but candidates should have a keen eye for detail and the ability to follow guidelines precisely. Key Responsibilities: · Annotate and label images, text, audio, or video data as per given instructions. · Ensure accuracy and consistency while tagging and categorizing data. · Review and validate annotations for quality assurance. · Follow project-specific guidelines and meet daily/weekly targets. · Identify and report data inconsistencies or unclear instructions. · Collaborate with team members and provide feedback to improve processes. · Maintain confidentiality and data security protocols. Required Skills & Qualifications: Education: Any Graduate (Any field). · Basic understanding of computers and familiarity with tools like Excel, Google Sheets, or annotation software. · Strong attention to detail and ability to follow instructions accurately. · Ability to work on repetitive tasks with consistency. Job Types: Full-time, Permanent, Fresher Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Leave encashment Provident Fund Schedule: Day shift Work Location: In person