1461 Annotation Jobs - Page 29

Job Role : Health Practitioner Support Technologist & Technician For Workflow Annotation Specialist Project Type: Contract-based / Freelance / Part-time – 1 Month Job Overview: We are seeking domain experts to participate in a Workflow Annotation Project . The role involves documenting and annotating the step-by-step workflows of key tasks within the candidate’s area of expertise. The goal is to capture real-world processes in a structured format for AI training and process optimization purposes. Domain Expertise Required : Job Title: Health Practitioner Support Technologist & Technician Location : Remote Responsibilities: Enter patient/test data, QA EHR/LIS, schedule via Easy!Appointments Code bills (GnuCash), calibrate lab tools, troubleshoot EHR/LIS/PACS Generate secure reports with zero data leaks Tools: OpenEMR, GNU Health, OpenELIS, SENAITE, Orthanc, DCM4CHEE, Weasis, Horos, Easy!Appointments, Bitrix24 (free tier), GnuCash Skills: 1–2 yrs clinical/health IT support Accurate, tech-savvy, privacy-compliant Show more Show less

Job Role : Investment Analyst for Workflow Annotation Specialist Project Type: Contract-based / Freelance / Part-time – 1 Month Job Overview: We are seeking domain experts to participate in a Workflow Annotation Project . The role involves documenting and annotating the step-by-step workflows of key tasks within the candidate’s area of expertise. The goal is to capture real-world processes in a structured format for AI training and process optimization purposes. Analyze tasks and processes within your domain of expertise. Clearly describe, document, and annotate each step of the workflow in detail. Identify the tools, systems, and decision points involved in task execution. Domain Expertise Required : Responsibilities: Track markets and execute trades Research investment opportunities Generate detailed client reports Uphold FINRA/SEC compliance standards Service and manage sophisticated investment portfolios Commercial Software Experience: Bloomberg Terminal MetaTrader 5 Thinkorswim E*TRADE Pro Morningstar Advisor Workstation Salesforce HubSpot FINRA Gateway Power BI Show more Show less

Job Role : Trading Analyst for Workflow Annotation Specialist Project Type: Contract-based / Freelance / Part-time – 1 Month Job Overview: We are seeking domain experts to participate in a Workflow Annotation Project . The role involves documenting and annotating the step-by-step workflows of key tasks within the candidate’s area of expertise. The goal is to capture real-world processes in a structured format for AI training and process optimization purposes. Analyze tasks and processes within your domain of expertise. Clearly describe, document, and annotate each step of the workflow in detail. Identify the tools, systems, and decision points involved in task execution. Domain Expertise Required : Responsibilities: Track markets and execute trades Research investment opportunities Generate detailed client reports Uphold FINRA/SEC compliance standards Service and manage sophisticated investment portfolios Commercial Software Experience: Bloomberg Terminal MetaTrader 5 Thinkorswim E*TRADE Pro Morningstar Advisor Workstation Salesforce HubSpot FINRA Gateway Power BI Show more Show less

Job Role : Financial Managers for Workflow Annotation Specialist Project Type: Contract-based / Freelance / Part-time – 1 Month Job Overview: We are seeking domain experts to participate in a Workflow Annotation Project . The role involves documenting and annotating the step-by-step workflows of key tasks within the candidate’s area of expertise. The goal is to capture real-world processes in a structured format for AI training and process optimization purposes. Domain Expertise Required : Financial Managers (Vet Existing Resources) Build and manage budgets, rolling forecasts, cash‑flow models, variance analyses, compliance packs, and board‑level reports; oversee treasury, investments, and strategic financial planning. Commercial Software ‑ SAP S/4HANA, Oracle Financials, NetSuite, QuickBooks, Microsoft Dynamics 365 Finance, Adaptive Planning, PlanGuru, Anaplan, Bloomberg Terminal, Power BI, Tableau, Xero, Sage Intacct, Expensify, BrightPay, Gusto, Kissflow. Open / Free Software ‑ LibreOffice Calc, Google Sheets (free), Odoo Community, ERPNext, GnuCash, Wave Accounting, Metabase, Apache Superset, Python (Pandas/NumPy), R. Show more Show less

Experience: 8+ yrs Location: Delhi, India (On-site) Job Description Eternal Robotics is leading the charge in the Industrial AI space with its flagship platform, Hypervise —an advanced AI solution for Industrial Process Control. Utilizing the latest in Computer Vision and Deep Learning, Hypervise empowers industries to enhance productivity, ensure safety, and drive innovation. With a strong focus on systems integration, Eternal Robotics is committed to delivering comprehensive solutions that bridge the gap between Information Technology (IT) and Operational Technology (OT). We are on the lookout for a Software Engineering Manager with AI/ML and Full Stack expertise to lead project management and customer deliveries. Purpose of the Role: The Software Engineering Manager will lead end-to-end planning, coordination, and execution of software and AI development projects involving Full Stack Developers, Lead Computer Vision Engineers, and the Data Annotation team. This role ensures seamless cross-functional collaboration across QA/QC Testing, Business Analysis, Hardware, and Supply Chain teams to deliver high-quality, integrated solutions on time. The SEM is accountable for task management, milestone delivery, integration planning, and stakeholder communication, working closely with the Delivery Manager. Key Responsibilities Team & Technical Leadership Lead and manage Full Stack Developers, CV Engineers, and Annotation team members across multiple AI/ML projects. Translate project requirements into structured development tasks and allocate them to team members. Ensure development teams follow best practices in coding, integration, and documentation. Project Planning & Delivery Break down project deliverables into detailed sprint-level milestones. Ensure adherence to timelines and budgets while maintaining quality standards. Drive integration of software with AI, hardware, and testing components, ensuring end-to-end system readiness. Task Management & Monitoring Use agile project management tools (e.g., JIRA, Trello) to monitor progress, manage sprint backlogs, and oversee task execution. Track and report task completion against planned timelines to the Delivery Manager and other stakeholders. Progress Reporting & Stakeholder Communication Prepare and present weekly progress updates for internal leadership and clients. Communicate risks, blockers, and proposed mitigations clearly and promptly. Build and maintain strong relationships with customers and partners. Quality & Process Excellence Enforce adherence to software quality standards, code review protocols, and CI/CD practices. Drive continuous improvement by incorporating feedback and retrospectives into future planning. Cross-Functional Collaboration Coordinate with Business Analysts for requirement discovery and documentation. Collaborate with QA/QC teams to establish validation protocols and ensure test readiness. Interface with Hardware and Supply Chain teams to align software deployment with hardware readiness and logistics. Key Result Areas (KRAs): Software Delivery Cross-Functional Execution Team Productivity Quality Assurance Stakeholder Communication Resource Management Continuous Improvement Key Performance Indicators (KPIs): % of sprint deliverables completed on time; bug count post-release On-time readiness for hardware integration and testing cycles Story points delivered per sprint; developer velocity trends % of test cases passed on first run; number of hotfixes post-deployment Timeliness and clarity of weekly reports and risk escalations Efficient workload balancing; unplanned attrition or burnout indicators Number of processes/tools improved; adoption of new practices/technologies Qualifications & Experience Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of experience in software development, with at least 3 years in a management role. Experience managing full stack teams and delivering integrated solutions involving AI or Computer Vision. Strong exposure to Agile/Scrum methodologies and project tracking tools. Experience working with cross-functional hardware/software teams is highly preferred. Technical & Soft Skills Proficiency in modern development stacks (Python, Node.js, React, etc.) Familiarity with version control (Git), CI/CD pipelines, and cloud platforms Strong leadership and mentoring abilities Excellent verbal and written communication skills High level of ownership and accountability Internal & External Stakeholders Internal: Delivery Manager, Business Analysts, CV Engineers, Full Stack Engineers, QA/Test Engineers, Hardware Leads, Supply Chain Managers External: Clients, Partners, Deployment Engineers

About The Team At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission, and Uber's AI Solutions organization leads many of those capabilities, such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, digitization programs, data services, etc, for all Uber Lines of Businesses. We combine technology and human intelligence optimally to run scaled programs. The tech+ops solution, coupled with Uber's strength of building a platform for flexible work, will enable enterprises worldwide 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. We are building this new business line and now offer our solutions to businesses of all sizes, all across the globe. With this, our focus is to Reimagine the way the world works". We are always looking for ways to better serve and engage our gig workers and enterprise customers. To do so, we bring the best of Uber by collaborating across multiple teams/orgs and tapping into the power of the Uber core platforms and network. About The Role As a Program manager on the team, you will be responsible for ensuring that the team complies with Uber's fiscal, business & legal policies for a new line of business. The ideal candidate for this role should have strong program management skills and analytical skills, be extremely well organized, and be able to clearly communicate and present information to drive better decisions/results. What You'll Need Manage the budget and forecasting processes with stakeholders for a new line of business. Establish and maintain a unified data source for all customer revenue and expenses at the project level. Optimize and automate the invoice validation process for customer revenue and expenses. Establish a weekly reporting process for revenue, expenses and margins to senior leadership. Collaborate closely with all stakeholders and manage a dashboard for all customer reporting. Develop and track key performance indicators (KPIs) and metrics to generate cost insights and areas of optimization. Ensure compliance with all financial regulations, tax, legal requirements, and internal policies. Independently identify issues, structure and conduct analyses, and form conclusions with minimal guidance. What You'll Need 5-7 years of work experience in program management, business analysis, data analysis, managing budget process, or related experience. Bachelor's degree in Business, Data Analytics, or other quantitative focus. Basic knowledge of GAAP and advanced SQL proficiency . Experience with developing automations and AI for optimizing processes. Excellent analytical skills, logical and structured thinking, and creative problem-solving. I nfluence and communicate with decision makers and outstanding written and verbal communication skills. Excellent organizational skills to juggle many tasks without losing sight of the highest priority items. Ability to understand complex concepts and make reasoned decisions with sometimes imperfect data. Ability to work with remote teams and across time zones to develop strategies and foster a cohesive and creative work environment. Show more Show less

As a leading outsourcing partners, we are hiring Data Annotator to work on a project for our client, which is the largest provider of telecoms and mobile money services in 14 countries spanning Sub-Saharan, Central, and Western Africa. Annotator/Labeler Job Description Role Overview A Data Annotator/Labeler is responsible for creating high-quality labeled datasets used for various analytical purposes. This role involves working with multiple data types including images, text, audio to prepare structured datasets according to project guidelines. The work supports the development of data-driven solutions across multiple industries and applications. Key Responsibilities Review and label various types of data according to established guidelines Process images through detailed visual inspection, comparison, and categorization Identify visual elements, objects, or features within images based on project criteria Evaluate image quality and apply appropriate quality benchmarks Perform structured data entry and organization tasks using Excel and other tools Apply judgment skills to maintain quality standards across processes Analyze text data for relevant patterns, topics, or characteristics Required Skills Strong attention to detail and consistency in labeling tasks Proficiency with Excel for data entry and reporting Excellent judgment skills for establishing and maintaining quality standards Experience with basic data annotation tools and platform Visual analysis capabilities for image-based work Preferred Qualifications Previous experience in data annotation, data entry, or related fields 3-5 years Familiarity with different annotation methodologies (bounding boxes, semantic segmentation, etc.)

Alphanome.AI is an AI Research Lab and Venture Studio pioneering the creation of AI-first ventures that redefine traditional industries. Our mission is to leverage cutting-edge artificial intelligence to deliver innovative, impactful solutions to complex business challenges. Explore our venture portfolio: https://www.alphanome.ai/ventures. We are seeking a highly motivated and talented AI Research Assistant Intern to join our team and contribute to our groundbreaking work in Large Language Models (LLMs) and other AI domains. This is an excellent opportunity for a student or recent graduate to gain hands-on experience in a fast-paced, innovative environment. This position is based in Vizag. Tech Stack: Python ML/AI: PyTorch, Transformers, LangChain Cloud: GCP, Scaleway, AWS, Azure Key Responsibilities: AI/ML Research & Development: Assist in the design, development, and evaluation of LLM-powered systems. Help build and maintain data pipelines for processing and preparing data for LLM training and evaluation. Experiment with different model architectures, training techniques, and hyperparameter tuning. Contribute to the implementation of vector similarity search techniques for document retrieval and knowledge management. Data Analysis & Experimentation: Conduct literature reviews of the latest research in LLMs, transformers, and related areas. Analyze experimental results and contribute to research reports and presentations. Assist in the development of metrics for evaluating model performance. Tooling & Infrastructure: Support the team in maintaining and improving our AI development infrastructure. Assist in the development of tools for data annotation, model evaluation, and experiment tracking. Collaboration & Learning: Work closely with experienced AI researchers and engineers. Participate in team meetings, brainstorm ideas, and share knowledge. Contribute to internal documentation and knowledge sharing. Requirements: Technical Skills: Strong Python programming skills. Familiarity with Machine Learning concepts and techniques. Basic understanding of deep learning frameworks such as PyTorch or TensorFlow. Exposure to or interest in Large Language Models (LLMs) and Transformer architectures. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with Git and GitHub. Education & Experience: Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Some experience with Machine Learning projects (e.g., academic projects, personal projects, internships). Soft Skills: Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to learn quickly and work independently. Enthusiasm for AI research and development. What We Offer: Hands-on Experience: Opportunity to work on cutting-edge AI projects with real-world impact. Exposure to the full AI development lifecycle, from research to deployment. Mentorship & Learning: Mentorship from experienced AI researchers and engineers. Opportunity to learn from and collaborate with a talented team. Exposure to a wide range of AI technologies and tools. Growth & Development: Opportunity to develop your skills and build your portfolio. Potential for future career opportunities within Alphanome.AI. Great Environment: A dynamic and collaborative work environment. Opportunity to contribute to a growing and innovative company. Apply Now! Show more Show less

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description Job Description Sprinklr is the unified platform for all customer-facing functions. We call it unified customer experience management (Unified-CXM). We help companies deliver human experiences to every customer, every time, across any modern channel, at a once impossible scale. Headquartered in New York City with over 2,400 employees globally, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way What will you do: Understanding project briefs and client requirements, and maintain local records of the aforementioned Work with a range of text, speech, and other types of data Deliver high-quality labelled data (annotations) using in-house tools based on the guidelines provided Quality checking the annotated data and assisting in training/managing data annotation resources Work closely with annotators from across the globe to ensure the quality of work Understanding the AI processes, analyze and create eligible data exports meant for ML training and testing What makes you qualified? Full-time bachelors in either of the following specializations: Commerce/Communication/Advertising/PR/Engineering 0-2 years of experience as a data analyst, social media analyst or client servicing/success For freshers, it could be a plus if you have had a project in data analysis, social media, client servicing, report building, and analysis. Pattern recognition skills to identify and analyze intricate patterns within large and diverse datasets Good written and verbal communication skills - this includes the ability to comprehend and articulate things. An ideal candidate should be able to create case studies, write project brief, and make process charts Organizational and Interpersonal skills to keep the work well recorded, stored, have clarity of project tenure, make timely follow-ups or outreach needed Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law. Show more Show less

What will you do? Quality Assurance / Test Strategy & Execution Work closely with QA Team and implement QA Practices and strategies according to best practices and quality standards Understand and follow SDLC processes to meet quality goals at the product level Work as part of cross-functional scrum teams ("PODs"), developing applications using agile methodologies Provide guidance and mentor team members on test activities and bioinformatics testing approaches Collaborate with development teams to address bugs and production defects quickly Bioinformatics Testing Expertise Interpret requirements to develop verification & validation test plans for bioinformatics applications Design test cases for sequence analysis software including alignment, variant calling, and annotation Design, create, and maintain bioinformatics data simulators and automated testing frameworks Work with product management to understand functional specifications for genomic applications Execute complex test scenarios and investigate issues in bioinformatics pipelines Documentation & Process Improvement Create comprehensive documentation to record testing phases and provide test execution reports Modify/update test protocols based on requirement changes; perform impact analysis Stay current with new testing tools and strategies in both QA and bioinformatics domains Evaluate and improve testing methodologies for continuous improvement Work with cross-functional teams to ensure quality throughout the product development lifecycle Requirements What do you bring to the table? Master's degree in Bioinformatics, Computational Biology or related field 7 + years of experience as software QA, with at least 3 years in bioinformatics or genomics Minimum 2 years working experience as a Bioinformatician or in genomic data analysis Demonstrated experience with Next Generation Sequencing tools (BWA, GATK, SAMtools, Tophat) Strong understanding of genomic data analysis, biostatistics, and data structures Experience with CI/CD pipelines and version control systems (Git) Knowledge of software engineering practices, SQA processes, and methodologies Professional Competencies Exceptional attention to detail and problem analysis abilities Strong communication skills (written and verbal) Ability to absorb complex information and integrate it into testing methodologies Focus on quality and continuous improvement Strategic vision to anticipate testing needs for emerging technologies Persuasiveness in advocating for quality standards and practices Experience in the medical device or life sciences industry Knowledge of handling/processing large genomic datasets Experience with cloud computing platforms (AWS, Azure, GCP) Experience with Docker and containerized applications Understanding of regulatory requirements for clinical software (HIPAA, FDA) Strong expertise in QA automation tools and frameworks (Selenium, RestAssured, Jenkins) Proficiency in Java and at least one scientific scripting language (Python/Java) Show more Show less

As a Business Analyst & Data Annotator, you will play a crucial role in gathering and analyzing business requirements, acting as a bridge between stakeholder needs and technical teams. You will also handle the data annotation process, ensuring the production of high-quality, accurately labeled datasets necessary for training machine learning models. This role involves close collaboration with ML engineers, data scientists, and business teams to ensure that data aligns with project goals. Your work will center on translating complex business needs and technical specifications into clear instructions, managing data labeling workflows, and maintaining data quality standards. A junior-level candidate with strong English skills (B2 or higher, ideally C1), attention to detail, and a good understanding of business and technical concepts can be successful in this role, especially when working with reports containing specialized terminology. Responsibilities: Develop and implement detailed guidelines and instructions for data labeling and annotation to ensure consistency and accuracy across datasets; Review and validate labeled data, providing constructive feedback to annotation teams to improve data quality and adherence to project standards; Collaborate with data scientists and ML engineers to prepare, organize, and support the creation of high-quality annotated datasets for model training; Manage the annotation workflow, prioritize tasks, and track progress to ensure timely delivery of labeled data; Maintain high standards of data privacy, security, and compliance throughout all annotation processes; Gather and analyze business requirements, workflows, and terminology to understand data needs and improve annotation processes; Facilitate communication between technical teams and stakeholders by translating complex technical or domain-specific language into clear, accessible instructions and explanations; Offer insights into business processes that could benefit from automation or ML solutions, supporting the design and implementation of such projects; Support continuous improvement of data annotation guidelines, workflows, and overall business analysis practices to enhance efficiency and data quality. Requirements: At least 1 year of experience in the relevant role; Excellent English language skills (B2 level or higher, ideally C1), especially when working with reports containing complex terminology; Strong analytical skills and an understanding of business workflows; Attention to detail and ability to create clear instructions and guidelines for annotation teams; Understanding of data privacy, security standards, and compliance requirements. Nice to Have: Basic knowledge of machine learning concepts and data management principles; Familiarity with ML workflows, data pipelines, and MLOps tools; Experience with cloud platforms such as AWS, GCP, or Azure; Experience with data labeling or annotation; Experience in creating markups for AI; Insurance industry background.

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep GO expertise to review evaluations completed by data annotators assessing AI-generated GO code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated GO code. Assess if the GO code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in GO development, QA, or code review. Strong knowledge of GO syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your GO expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

Client Type: US Client Location: Remote About the Role We’re creating a new certification: Google AI Ecosystem Architect (Gemini & DeepMind) - Subject Matter Expert . This course is designed for technical learners who want to understand and apply the capabilities of Google’s Gemini models and DeepMind technologies to build powerful, multimodal AI applications. We’re looking for a Subject Matter Expert (SME) who can help shape this course from the ground up. You’ll work closely with a team of learning experience designers, writers, and other collaborators to ensure the course is technically accurate, industry-relevant, and instructionally sound. Responsibilities As the SME, you’ll partner with learning experience designers and content developers to: Translate real-world Gemini and DeepMind applications into accessible, hands-on learning for technical professionals. Guide the creation of labs and projects that allow learners to build pipelines for image-text fusion, deploy Gemini APIs, and experiment with DeepMind’s reinforcement learning libraries. Contribute technical depth across activities, from high-level course structure down to example code, diagrams, voiceover scripts, and data pipelines. Ensure all content reflects current, accurate usage of Google’s multimodal tools and services. Be available during U.S. business hours to support project milestones, reviews, and content feedback. This role is an excellent fit for professionals with deep experience in AI/ML, Google Cloud, and a strong familiarity with multimodal systems and the DeepMind ecosystem. Essential Tools & Platforms A successful SME in this role will demonstrate fluency and hands-on experience with the following: Google Cloud Platform (GCP) Vertex AI (particularly Gemini integration, model tuning, and multimodal deployment) Cloud Functions, Cloud Run (for inference endpoints) BigQuery and Cloud Storage (for handling large image-text datasets) AI Platform Notebooks or Colab Pro Google DeepMind Technologies JAX and Haiku (for neural network modeling and research-grade experimentation) DeepMind Control Suite or DeepMind Lab (for reinforcement learning demonstrations) RLax or TF-Agents (for building and modifying RL pipelines) AI/ML & Multimodal Tooling Gemini APIs and SDKs (image-text fusion, prompt engineering, output formatting) TensorFlow 2.x and PyTorch (for model interoperability) Label Studio, Cloud Vision API (for annotation and image-text preprocessing) Data Science & MLOps DVC or MLflow (for dataset and model versioning) Apache Beam or Dataflow (for processing multimodal input streams) TensorBoard or Weights & Biases (for visualization) Content Authoring & Collaboration GitHub or Cloud Source Repositories Google Docs, Sheets, Slides Screen recording tools like Loom or OBS Studio Required skills and experience: Demonstrated hands-on experience building, deploying, and maintaining sophisticated AI powered applications using Gemini APIs/SDKs within the Google Cloud ecosystem, especially in Firebase Studio and VS Code. Proficiency in designing and implementing agent-like application patterns, including multi-turn conversational flows, state management, and complex prompting strategies (e.g., Chain-of Thought, few-shot, zero-shot). Experience integrating Gemini with Google Cloud services (Firestore, Cloud Functions, App Hosting) and external APIs for robust, production-ready solutions. Proven ability to engineer applications that process, integrate, and generate content across multiple modalities (text, images, audio, video, code) using Gemini’s native multimodal capabilities. Skilled in building and orchestrating pipelines for multimodal data handling, synchronization, and complex interaction patterns within application logic. Experience designing and implementing production-grade RAG systems, including integration with vector databases (e.g., Pinecone, ChromaDB) and engineering data pipelines for indexing and retrieval. Ability to manage agent state, memory, and persistence for multi-turn and long-running interactions. Proficiency leveraging AI-assisted coding features in Firebase Studio (chat, inline code, command execution) and using App Prototyping agents or frameworks like Genkit for rapid prototyping and structuring agentic logic. Strong command of modern development workflows, including Git/GitHub, code reviews, and collaborative development practices. Experience designing scalable, fault-tolerant deployment architectures for multimodal and agentic AI applications using Firebase App Hosting, Cloud Run, or similar serverless/cloud platforms. Advanced MLOps skills, including monitoring, logging, alerting, and versioning for generative AI systems and agents. Deep understanding of security best practices: prompt injection mitigation (across modalities), secure API key management, authentication/authorization, and data privacy. Demonstrated ability to engineer for responsible AI, including bias detection, fairness, transparency, and implementation of safety mechanisms in agentic and multimodal applications. Experience addressing ethical challenges in the deployment and operation of advanced AI systems. Proven success designing, reviewing, and delivering advanced, project-based curriculum and hands-on labs for experienced software developers and engineers. Ability to translate complex engineering concepts (RAG, multimodal integration, agentic patterns, MLOps, security, responsible AI) into clear, actionable learning materials and real world projects. 5+ years of professional experience in AI-powered application development, with a focus on generative and multimodal AI. Strong programming skills in Python and JavaScript/TypeScript; experience with modern frameworks and cloud-native development. Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related technical field. Ability to explain advanced technical concepts (e.g., fusion transformers, multimodal embeddings, RAG workflows) to learners in an accessible way. Strong programming experience in Python and experience deploying machine learning pipelines Ability to work independently, take ownership of deliverables, and collaborate closely with designers and project managers Preferred: Experience with Google DeepMind tools (JAX, Haiku, RLax, DeepMind Control Suite/Lab) and reinforcement learning pipelines. Familiarity with open data formats (Delta, Parquet, Iceberg) and scalable data engineering practices. Prior contributions to open-source AI projects or technical community engagement. Show more Show less

About Company: Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Title: Full stack devloper/Engineer Location: Chennai Experience: 7+ yrs Job Type : Contract to hire Notice Period:- Immediate joiner Mandatory Skills: Partners must apply the following mandatory criteria during candidate shortlisting: Minimum 5 years in backend/full-stack development with strong Python & LLM integration experience Hands-on LLM integration in production (not academic/chatbot-only experience) Expertise in designing production-grade APIs and backend services Practical experience with LangChain, LangGraph, RAG pipelines, agent frameworks Strong knowledge of async workflows, deployment, observability, and performance This is a software engineering role (not data science, analytics, or annotation) Show more Show less

Join our customer's team as a Medical Administrative Assistant - AI trainer, where your expertise in medical office administration will directly shape the future of healthcare technology. Leverage your in-depth knowledge of medical information handling and administrative processes to enhance the intelligence and reliability of AI-driven solutions. If you have a passion for clear communication and are eager to impact the intersection of healthcare and technology, this role is for you. Key Responsibilities: Model and document best practices in health information management, appointment scheduling, and insurance processing for AI training purposes Serve as a subject matter expert (SME) on medical terminology, office protocols, and patient data workflows Collaborate with AI development teams to provide insights and feedback from a medical administrative perspective Review and validate AI outputs to ensure accuracy in understanding and application of medical administrative tasks Create written and verbal examples of authentic medical office communications to train language models Assist in developing comprehensive datasets that reflect real-world medical administrative scenarios Identify gaps in AI knowledge and propose solutions for continuous improvement of training data. Qualifications: Proven experience as a Medical Secretary, Medical Administrative Assistant, or similar healthcare administrative role Extensive knowledge of health information handling, appointment systems, and insurance processing Exceptional written and verbal communication skills, with meticulous attention to detail Strong organizational skills and ability to manage multiple priorities in a remote setting Comfort with technology and a willingness to engage with AI-driven tools and platforms Ability to translate complex medical administrative processes into clear, structured documentation Strong analytical skills and a proactive approach to problem-solving in a collaborative team environment Preferred Qualifications: Experience training or onboarding others in medical office environments Exposure to medical AI, data annotation, or related healthcare technology projects Advanced certifications in medical office administration or health information management About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: Customer First Mentality - every decision we make should be made through the lens of the customer Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated Ownership - step up if you see an opportunity to help, even if not your core responsibility Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect Frugality - being frugal and cost-conscious helps us do more with less Deliver Impact - get things done in the most efficient way Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description As a Design Associate, you will be required to understand the Clients's KWS requirement and specs from the Designer over a call or F2F briefing / meetings. You will need to understand all KWS modules and technical specs in Livspace KWS category. Prepare plan, Wall to Wall elevation with complete detailing on AutoCAD for Kitchen, Wardrobe and Storages. Prepare all EPT and Granite detailings for Kitchen, Wardrobe and Storages. Prepare the KWS BOQ on Livspace Design tool [ CANVAS ] Prepare coordinated KWS design docket wrt the BOQ with correct annotation and detailing. Should use a standard drawing template as specified by the Central Team. Should be able to understand the changes / errors pointed out by the Validation Team and incorporate the same in the Design docket. Should adhere to the SLA and the Quality standards of the output. Attend the Trainings for the new module introduced by the Category Team and keep yourselves updated. Job Requirement Strong AutoCAD skills are a must. Diploma / Degree in Architecture or Interior Design [ will be an added advantage ] Experience 1 to 6 years Previous experience as a Kitchen Designer or Design Associate or in a similar role. Must be a quick learner. Attention to detail with great team player skills. Show more Show less

Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview We are seeking a detail-oriented Project Coordinator to partner with our Project Managers to oversee our data labeling and generation projects. This person will serve as a welcoming, first point of contact with our labelers as they begin their projects and will continue to be their resource and advocate through the project. The ideal candidate will have experience in project management, with the ability to work independently to drive projects to successful completion. You will work closely with our team of Project Managers to ensure the project runs smoothly and efficiently, ultimately providing the highest quality data to our customers. Employment Type: Project-based, paid hourly Your Impact Manage Data Projects: Partner with a Project Manager to oversee data labeling and generation projects from initiation to completion, ensuring they meet our quality standards and deadlines. Delegate Tasks: Assign responsibilities to team members effectively, ensuring optimal utilization of resources. Community Management within Projects: Answer questions from team members regarding their projects in a thoughtful and timely manner. Monitor Progress: Track project milestones and deliverables, adjusting plans as necessary to meet objectives. Quality Assurance: Implement and maintain quality control procedures to ensure the accuracy and reliability of data outputs. Communication: Provide regular updates to stakeholders on project status, challenges, and achievements. What You Bring Education: Bachelor’s degree (or equivalent experience) in Business Administration, Project Management, Computer Science, or a related field. Experience: Previous experience in project management, preferably in data labeling. Independence: Proven ability to work independently with minimal supervision. Communication Skills: Candidate must be fluent in English and possess excellent written and verbal communication skills. Organizational Skills: Strong ability to manage multiple tasks and deadlines simultaneously. Bonus Points Experience in data annotation or working with machine learning datasets. Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence. Life at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy : Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. Show more Show less

Senior Developer with strong analytical and technical ability with over 8 years of experience in enterprise Web applications, REST services and Workflow Processing Service development using Java/J2EE technologies. Experienced in working on medium to large enterprise projects, preferably in financial services Knowledge/Experience: Should have strong insight on OOPS concept and good hands on experience on Java (version 1.8 or above) and other java based frameworks like Spring Batch, Spring IOC, Spring Annotation, Spring Security. Should have hands on experience on messaging platform like Kafka. Should be comfortable with working on Oracle (PL/SQL) and/or NoSQL-Mongo as backend database. Good working knowledge of JBPM as BPMN Framework is must. Good working knowledge of Docker, Kubernetes and OpenShift is a must. Should have strong knowledge of Java design patterns , microservice design patterns, event streams, event/message based architecture, Domain driven design etc. Should have strong knowledge of API based architecture and SOA. Expertise in Server less, tomcat (Embedded/Non-Embedded), jetty (Embedded/Non-Embedded), WebSphere , Spring Batch, Spring IOC, Spring Annotation, Spring Security Expertise in mocking, Junit and perf testing of solutions. Should possess basic Unix/Linux knowledge to be able to write and understand basic shell scripts and basic Unix commands Good working knowledge of in memory distributed caches (Hazelcast, Gemfire) is good to have. Person should have worked in Agile/DevOps Environment. Good to have skills: Financial markets background is preferable but is not a must Knowledge of testing concepts (TDD, BDD) is a plus. Knowledge of ELK/App Dynamics Knowledge of other programming languages like Vaadin (UI Framework), Kotlin, scala, shell scripting etc is good to have. Candidates with knowledge on webserver setup and configuration with reverse proxy/ssl setup etc (preferred nginx webserver) is a plus Key Responsibilities: A seasoned SME and technical specialist in Client On boarding/AML/KYC/Account Opening domain Employ standards, frameworks and patterns while designing and developing components. Implement and maintain a suite of Workflow driven, Java application with RESTful services. Develop high quality code employing software engineering and testing best practices. Developing software that processes, persists and distributes data via relational and non-relational technologies Hands on coding, authoring unit tests/Junit, performance tests and maintaining high code quality. Needs to be able to react and provide quick turnaround to business requirements and management requests Well versed in Agile Development Life Cycle and capable to lead a team for 4-5 developers. Partner with database developers to implement ingestion, orchestration, quality/reconciliation and distribution services Ability to work independently, good communication skills, has experience in working on complex and medium to large projects. Job Background: The position is based in India and is required to focus on delivery of the work, ensuring a robust design This role may report to the technology team lead based in Pune Candidate should be able to work independently and should be self-motivated Candidate might be required to work with vendors or third parties in joint delivery teams The role requires application of technical skills and knowledge of the business to develop solutions to meet business needs As part of large, geographically distributed team(s), the candidate may have to manage stakeholders across multiple functional areas The position requires analytical skills in order to filter, prioritize and validate potentially complex material, technical or business or otherwise, from multiple sources. The candidate will work with complex and variable issues with substantial potential impact, weighing various alternatives and balancing potentially conflicting needs. Qualifications: Bachelor’s degree (in science, computers, information technology or engineering) Candidate should be willing to work late in the evening India time on need basis in order to interact with US/other global teams ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Knowledge/Experience: Around 4-7 years of experience in enterprise Web application development using Java/J2EE technologies. Should have strong knowledge and hands on experience in JAVA (Version 1.8 or above) / J2EE / Spring boot / restful Web Services Expertise in Server less, tomcat (Embedded/Non-Embedded), jetty (Embedded/Non-Embedded), WebSphere Expertise in Spring Batch, Spring IOC, Spring Annotation, Spring Security Expertise in mocking, Junit and perf testing of solutions. Should possess basic Unix/Linux knowledge to be able to write and understand basic shell scripts and basic Unix commands Knowledge of Oracle (PL/SQL), NoSQL-Mongo, is a plus. Candidates with working knowledge on Docker / Kubernetes / OpenShift / Mesos is a plus. Have basic experience in Data Preparation Tools Experience with CI/CD build pipelines and toolchain – Git, BitBucket, TeamCity, Artifactory, Jira Experience. Financial markets background is preferable but is not a must. Key Responsibilities: Development of application in Java in Financial Risk domain Employ standards, frameworks and patterns while designing and developing components. Develop high quality code employing software engineering and testing best practices. Hands on coding, authoring unit tests/Junit, performance tests and maintaining code quality. Familiar with Agile Development Life Cycle Good communication skills, has experience in working on complex and medium to large projects. The position is based in India and will require the candidate to work with various teams. Qualifications: Bachelor’s degree (in science, computers, information technology or engineering) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

About Loti AI, Inc Loti AI specializes in protecting major celebrities, public figures, and corporate IP from online threats, focusing on deepfake and impersonation detection. Founded in 2022, Loti offers likeness protection, content location and removal, and contract enforcement across various online platforms including social media and adult sites. The company's mission is to empower individuals to control their digital identities and privacy effectively. We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications And Skills Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. Show more Show less

Job description Company Description Apexon is a digital-first technology services firm, specializing in accelerating business transformation and delivering human-centric digital experiences. With over 27 years of experience, Apexon helps clients outperform their competition through speed and innovation. The company focuses on User Experience (UI/UX, Commerce), Engineering (QE/Automation, Cloud, Product/Platform), and Data (Foundation, Analytics, AI/ML) services with deep expertise in BFSI, healthcare, and life sciences. Role Description About the Role: As a Trainee , you will play a key role in performing data annotation, auditing data sets, and supporting data quality improvements. This includes: Performing data annotation & labeling Auditing datasets for quality & accuracy Providing insights to improve performance Generating basic reports and collaborating with cross-functional teams Qualification: BA,Bcom,BBA,BCA (2019 to 2025 Passed Out) Basic Computer Knowledge Strong analytical thinking and problem-solving skills Experience: 0-6 months Preferred Location: Ahmedabad Mode of Work: Work From Office Mode of interview: Direct Walk-In

Eternal Robotics is leading the charge in the Industrial AI space with its flagship platform, Hypervise - an advanced AI solution for Industrial Process Control. Utilizing the latest in Computer Vision and Deep Learning, Hypervise empowers industries to enhance productivity, ensure safety, and drive innovation. With a focus on systems integration, ER is committed to delivering comprehensive solutions that bridge the gap between Information Technology (IT) and Operational Technology (OT). We are on the lookout for a Software Engineering Manager with AI/ML and Full Stack Software expertise to lead project management and deliveries to our customers. Purpose of Role: The Software Engineering Manager will lead the end-to-end planning, coordination, and execution of software and AI development projects involving Full Stack Developers, Lead Computer Vision Engineers, and the Data Annotation team. This role ensures seamless cross-functional collaboration across QA/QC testing, Business Analysis, Hardware, and Supply Chain teams to deliver high-quality, integrated solutions on time. The SDM is accountable for technical task management, milestone delivery, integration planning, and stakeholder reporting, working closely with the Delivery Manager. Key Responsibilities Team & Technical Leadership Lead and manage Full Stack Developers, CV Engineers, and Annotation team members across multiple AI/ML projects. Translate project requirements into structured development tasks and allocate them across team members. Ensure development teams follow best practices in coding, integration, and documentation. Project Planning & Delivery Break down project deliverables into detailed sprint-level milestones. Ensure adherence to timelines and budget while maintaining quality standards. Drive integration of software with AI, hardware, and testing components, ensuring end-to-end system readiness. Task Management & Monitoring Use agile project management tools (e.g., JIRA, Trello) to monitor progress, manage sprint backlogs, and oversee task execution. Track and report task completion against planned timelines to Delivery Manager and other stakeholders. Progress Reporting & Stakeholder Communication Prepare and present weekly progress updates for internal leadership and clients. Communicate risks, blockers, and proposed mitigations clearly and promptly. Building and maintaining strong relationships with customers and partners. Quality & Process Excellence Enforce adherence to software quality standards, code review protocols, and CI/CD practices. Drive continuous improvement by incorporating feedback and retrospectives into future planning. Cross-Functional Collaboration Coordinate with Business Analysts for requirement discovery and documentation. Collaborate with QA/QC teams to establish validation protocols and ensure test readiness. Interface with Hardware and Supply Chain teams to align software deployment with hardware readiness and logistics. Key Result Areas (KRAs): Software Delivery Cross-Functional Execution Team Productivity Quality Assurance Stakeholder Communication Resource Management Continuous Improvement Key Performance Indicators (KPIs): % of sprint deliverables completed on time; bug count post-release On-time readiness for hardware integration and testing cycles Story points delivered per sprint; developer velocity trends % of test cases passed on first run; number of hot fixes post-deployment Timeliness and clarity of weekly reports and risk escalations Efficient workload balancing; unplanned attrition or burnout indicators Number of processes/tools improved; adoption of new practices/technologies Qualifications & Experience Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 8+ years of experience in software development, with 3+ years in a management role. Experience in managing full stack teams and delivering integrated solutions involving AI or computer vision. Strong exposure to Agile/Scrum methodologies and project tracking tools. Experience working with cross-functional hardware/software teams is highly preferred. Technical & Soft Skills Proficiency in modern development stacks (Python, Node.js, React, etc.) Familiarity with version control (Git), CI/CD pipelines, and cloud platforms. Strong leadership and mentoring abilities. Excellent verbal and written communication skills. High level of ownership and accountability. Internal & External Stakeholders Internal: Delivery Manager, Business Analysts, CV Engineers, Full Stack Engineers, QA/Test Engineers, Hardware Leads, Supply Chain Managers External: Clients, Partners, Deployment Engineers Show more Show less

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR BAMBI[9870305937] Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep HTML/CSS expertise to review evaluations completed by data annotators assessing AI-generated HTML/CSS code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated HTML/CSS code. Assess if the HTML/CSS code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in HTML/CSS development, QA, or code review. Strong knowledge of HTML/CSS syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your HTML/CSS expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About The Role We are looking for a Data annotator who would be responsible for working closely with data scientists, machine learning engineers, and other team members to provide critical annotated data that will be used to train, validate, and test various models. This role requires accurately labeling data to ensure the highest quality datasets for machine learning and artificial intelligence applications. Responsibilities Accurately annotate large volumes of data, including image, text, audio, and video data, according to specified guidelines and standards. Organize and maintain annotated datasets, ensuring that data is properly labeled and stored. Review and validate annotations completed by other team members to ensure accuracy and consistency. Work closely with machine learning engineers to understand project requirements and provide insights into annotation processes. Suggest and implement improvements to annotation processes and workflows to enhance productivity and data quality. Utilize and provide feedback on annotation tools and software to improve efficiency and accuracy. Requirements 2-3+ years of proven experience in data annotation and image labeling tasks, ensuring high accuracy and consistency. Exceptional attention to detail and accuracy in data labeling tasks. Familiarity with data annotation tools and software. A basic understanding of machine learning concepts is a plus. Strong analytical skills with the ability to understand and follow complex guidelines and instructions. Strong written and verbal communication skills for clear documentation and collaboration. Ability to work as part of a collaborative team. Bachelor’s degree in any field. Location: Ahmedabad/Pune Show more Show less