1461 Annotation Jobs - Page 24

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 Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects 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.

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 Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects 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.

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 Java expertise to review evaluations completed by data annotators assessing AI-generated Java 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 Java code. Assess if the Java 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 Java development, QA, or code review. Strong knowledge of Java 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 Java expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.

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 R expertise to review evaluations completed by data annotators assessing AI-generated R 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 R code. Assess if the R 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 R development, QA, or code review. Strong knowledge of R 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 R expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more . Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We are seekin g SME Biolog y wit h Phd degre e to join us a s freelancer s and contribute to impactful AI training projects. Key Responsibilities: Annotate Biology-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Biology. Must Required Traits: Stro ng academic background in Biolo gy Experience in Biology education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us? Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology.

About Soul AI: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. Who you are & how you can contribute? We are seeking a Biology expert with a PhD degree . The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement. What you will be doing? Annotate Biology-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Biology. Must Required Traits: Strong academic background in Biology. Experience in Biology education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us? Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!

About Soul AI: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. Who you are & how you can contribute? We are seeking a Biology expert with a Msc degree . The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement. What you will be doing? Annotate Biology-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Biology. Must Required Traits: Strong academic background in Biology. Experience in Biology education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us? Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!

About Soul AI: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. Who you are & how you can contribute? We are seeking a Biology expert with a Msc degree . The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement. What you will be doing? Annotate Biology-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Biology. Must Required Traits: Strong academic background in Biology. Experience in Biology education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us? Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!

Sigma.AI is a world-leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. We are looking for native Bengali (India) speakers for our remote projects. This is a flexible task to be completed through an online application, available 24/7. Requirements Good oral comprehension and written expression of the mentioned language is essential. Proficient level of English. Computer skills at user level. The Following Will Be Valued Experience in rating or data annotation. Attention to detail. Sigma AI does not hire through third parties. NOTE: The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the proofs submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

About Soul AI: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. Who you are & how you can contribute? We are seeking a Physics expert with a PhD degree . The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement. What you will be doing? Annotate Physics-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Physics. Must Required Traits: Strong academic background in Physics. Experience in Physics education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us? Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!

About Soul AI: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. Who you are & how you can contribute? We are seeking a Chemistry expert with a PhD degree . The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement. What you will be doing? Annotate Chemistry-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Chemistry. Must Required Traits: Strong academic background in Chemistry. Experience in Chemistry education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us? Competitive salary Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!

About Soul AI: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. Who you are & how you can contribute? We are seeking a Physics expert with a Msc degree . The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement. What you will be doing? Annotate Physics-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Physics. Must Required Traits: Strong academic background in Physics. Experience in Physics education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us? Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!

About Soul AI: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. Who you are & how you can contribute? We are seeking a Physics expert with a Msc degree . The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement. What you will be doing? Annotate Physics-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Physics. Must Required Traits: Strong academic background in Physics. Experience in Physics education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us? Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!

About Soul AI: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. Who you are & how you can contribute? We are seeking a Chemistry expert with a Msc degree . The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement. What you will be doing? Annotate Chemistry-related data to improve AI comprehension. Provide feedback on AI-generated responses to ensure scientific accuracy. Assist in developing problem sets and solutions for AI training. Collaborate with AI researchers to refine AI capabilities in the field of Chemistry. Must Required Traits: Strong academic background in Chemistry. Experience in Chemistry education, research, or content creation preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills. Why join us? Competitive salary Fully remote and flexible work schedule. Opportunity to work on cutting-edge AI technology. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!

Hiring for Content Review Process | Hyderabad (HI-TECH City) Position : Content Reviewer Experience : Minimum 6 months or above in content review Qualification : Graduates (any stream) Work Location : HI-TECH City, Hyderabad Working Days : 5 days a week (Rotational Shifts) Rounds of Interview : HR Round Assessment Manager Round Job Role & Responsibilities : Review user-generated content to ensure it adheres to community guidelines and policies Flag inappropriate, offensive, or harmful content Provide accurate and timely feedback on content trends and patterns Maintain quality and productivity standards Work effectively in a team environment with minimal supervision Who Can Apply? Candidates with at least 6 months of content review experience Comfortable with rotational shifts Strong attention to detail Good communication skills Interested Candidates: Please fill out the form below to apply. https://forms.gle/ogSG8TsBW8Niip6a9 Best of luck! Neha Pagraj * Please refer friends or colleagues who are looking for a job. Let's help someone in need*

Position: Data Collection & Annotation Specialist Company: Terafac Technologies Pvt. Ltd. Location: Chandigarh (Work from Office / Field-Based) Employment Type: Internship, Full-time Experience Required: 0–2 years Compensation: ₹1.8 LPA – ₹3.2 LPA (no salary bar for exceptional candidates) About the Role We are seeking a detail-oriented and self-driven Data Collection & Annotation Specialist to join our team. In this role, you will be responsible for capturing high-quality visual data from real-world industrial environments and supporting the development of our machine vision and AI models. This is a great opportunity to work at the foundation of intelligent automation systems. Key Responsibilities Collect image and video data from field locations using standardized documentation practices. Maintain contextual records such as time, location, lighting conditions, and task notes. Collaborate with engineering teams to ensure data relevance and completeness. Upload and organize data into shared systems (cloud storage or internal tools). Adhere to safety procedures during site visits and ensure professional conduct. Flag any challenges like limited access or inconsistent data samples for review. Minimum Qualifications Diploma, ITI, or Bachelor’s degree in any discipline (technical background preferred). Strong attention to detail, with consistent documentation habits. Self-motivated and dependable; able to work independently in field settings. Proficiency in English and comfort navigating digital workflows. Preferred Qualifications Prior experience in industrial fieldwork, surveys, or technical documentation. Familiarity with cloud platforms like Google Drive or Dropbox for organizing and sharing data. Interest in AI, robotics, or digital transformation tools. Why Join Terafac? Terafac Technologies Pvt. Ltd. is building an AI-Vision platform for industrial automation that’s pushing the boundaries of what’s possible on the shop floor. This role offers real-world exposure to intelligent technologies, a high-energy work culture, and the chance to be part of a team doing breakthrough work in deep tech and robotics. Contact Details Email Address : hiring@terafac.com Contact Number : +91 8264445150 Job Types: Full-time, Permanent Pay: ₹100,000.00 - ₹300,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Work Location: In person

About The Role We are seeking an experienced Program Manager to lead complex, high-impact AI/ML operations in Uber's Global Scaled Solutions (GSS) team. This leader will define, scale, and optimize human-in-the-loop (HITL) programs that support internal and external machine learning initiatives, driving both technical excellence and business impact. You will serve as a strategic operator and cross-functional influencer , owning the end-to-end lifecycle of AV Labeling programs - from stakeholder alignment and SOP design to process optimization, vendor management, and quality assurance. Your work will directly contribute to Uber's AI/ML acceleration by ensuring operational readiness, annotation precision, and long-term tooling scalability. What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Lead complex AI/ML programs focused on 2D/3D LiDAR annotations, object detection, semantic segmentation, and other key annotation workflows. Design and implement scalable data pipelines that support model training, quality control, and real-time feedback loops. Partner with engineering and product teams to identify tooling gaps and deliver long-term process and technology improvements. Manage global vendor operations, including RFPs, performance tracking, and quality governance to ensure best-in-class delivery. Develop standard operating procedures (SOPs) for new data initiatives and guide them from pilot phase to full-scale deployment. Use data to drive decisions - analyze program metrics, uncover insights, and present findings to senior leadership to influence product and business strategy. Create and lead cross-functional collaboration frameworks to ensure alignment across stakeholders and smooth execution. Basic Qualifications 7+ years of experience in program management, data operations, or ML lifecycle management, preferably in a high-growth tech or AI-driven company. Proven success in managing large-scale, high-precision data programs for AI/ML systems. Strong understanding of annotation workflows (LiDAR, image, video) and human-in-the-loop (HITL) model training processes. Experience working cross-functionally with engineering, product, and data science teams. Excellent communication and stakeholder management skills, including experience influencing at senior levels. Hands-on experience working with vendors or third-party data partners, including contracting, onboarding, and performance monitoring. Strong analytical mindset with the ability to turn raw data into actionable insights. Preferred Qualifications Prior experience working at a high-growth startup, global tech company, or top-tier consulting firm. Background in AI/ML operations, autonomous systems, or large-scale computer vision applications. Experience building dashboards, operational tooling, or feedback loops for data quality. Prior experience at a global tech company, startup, or consulting firm.

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri’s R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-2702

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 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: Bachelor’s 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. 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.

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri's R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) #LI-Hybrid #LI-PK1 The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

About the Role We are seeking an experienced Program Manager to lead complex, high-impact AI/ML operations in Uber's Global Scaled Solutions (GSS) team. This leader will define, scale, and optimize human-in-the-loop (HITL) programs that support internal and external machine learning initiatives, driving both technical excellence and business impact. You will serve as a strategic operator and cross-functional influencer , owning the end-to-end lifecycle of AV Labeling programs - from stakeholder alignment and SOP design to process optimization, vendor management, and quality assurance. Your work will directly contribute to Uber's AI/ML acceleration by ensuring operational readiness, annotation precision, and long-term tooling scalability. What the Candidate Will Need / Bonus Points - What the Candidate Will Do - Lead complex AI/ML programs focused on 2D/3D LiDAR annotations, object detection, semantic segmentation, and other key annotation workflows. Design and implement scalable data pipelines that support model training, quality control, and real-time feedback loops. Partner with engineering and product teams to identify tooling gaps and deliver long-term process and technology improvements. Manage global vendor operations, including RFPs, performance tracking, and quality governance to ensure best-in-class delivery. Develop standard operating procedures (SOPs) for new data initiatives and guide them from pilot phase to full-scale deployment. Use data to drive decisions - analyze program metrics, uncover insights, and present findings to senior leadership to influence product and business strategy. Create and lead cross-functional collaboration frameworks to ensure alignment across stakeholders and smooth execution. - Basic Qualifications - 7+ years of experience in program management, data operations, or ML lifecycle management, preferably in a high-growth tech or AI-driven company. Proven success in managing large-scale, high-precision data programs for AI/ML systems. Strong understanding of annotation workflows (LiDAR, image, video) and human-in-the-loop (HITL) model training processes. Experience working cross-functionally with engineering, product, and data science teams. Excellent communication and stakeholder management skills, including experience influencing at senior levels. Hands-on experience working with vendors or third-party data partners, including contracting, onboarding, and performance monitoring. Strong analytical mindset with the ability to turn raw data into actionable insights. - Preferred Qualifications - Prior experience working at a high-growth startup, global tech company, or top-tier consulting firm. Background in AI/ML operations, autonomous systems, or large-scale computer vision applications. Experience building dashboards, operational tooling, or feedback loops for data quality. Prior experience at a global tech company, startup, or consulting firm.

We are looking for an experienced Civil 3D Modeler to join our design team. The role involves creating and updating detailed civil infrastructure models and drawings, including pipelines, roads, grading, and utility networks. The ideal candidate will have a strong command of Autodesk Civil3D, attention to detail and ability to work independently while aligning with client standards. Key Responsibilities: Prepare and update plan/profile drawings for roads, pipelines, grading, and terrain using Autodesk Civil3D Develop terrain models, stormwater management layouts, and perform hydrology analysis Design pressure and gravity-based pipe networks Use corridor modeling for road and grading design Produce detailed construction drawings and ensure alignment with project specifications Integrate Civil3D models with Revit, Plant 3D, and other BIM tools Apply knowledge of annotation styles, surfaces, alignments, profiles, feature lines, and volume calculations Attend client meetings, provide project updates, and support project leads Contribute to maintaining high safety and quality standards. Requirements: Bachelor's or Master's degree in Civil Engineering (preferred) Minimum 0-2 years of relevant experience Autodesk Civil3D Certified Professional (certification within the last 3 years is a plus) Strong communication skills and ability to work independently Experience working on international projects is an advantage Drop your Resume : dhatuconsultingservices@gmail.com

Innodata (NASDAQ: INOD)is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. Job Title: Generative AI Associate Analyst (LLM Training – Computer Science Domain) Location: Remote Employment Type: Flexible Contract Role (Part-time, up to 25 hours weekly) About the Role: We are seeking highly qualified individuals with a Master’s or PhD in Computer Science to join our AI development team as Generative AI Associate Analyst . In this role, you will use your deep technical knowledge to evaluate, annotate, and provide structured feedback on AI-generated content produced by Large Language Models (LLMs). Your expertise will bring a level of precision, technical depth, and computational reasoning that is essential for training advanced AI. This role allows you to bridge your academic expertise with cutting-edge LLM development—helping to create AI that understands, explains, and reasons about code and computer science like a human expert. This position offers a unique opportunity to apply your academic and practical knowledge in computer science to help train AI that is safer, smarter, and better aligned with real-world technical use cases. Key Responsibilities: Evaluate LLM outputs for correctness, coherence, and relevance in technical areas such as programming, algorithms, data science, software engineering, systems design, and theoretical computer science. Assess and annotate AI responses for logical consistency, technical accuracy, code quality, computational feasibility, and clarity. Develop and test prompts that challenge the model’s understanding of programming concepts, debugging scenarios, and algorithmic logic. Provide structured, technical feedback on AI-generated answers, including identifying subtle bugs, inefficient logic, or misleading explanations. Ensure annotation consistency, data integrity, and high-quality labelling across assigned rating tasks. Eligibility Criteria: Master’s or PhD in Computer Science , Software Engineering , or a related field. Strong command of core computer science topics (e.g., algorithms, data structures, complexity, programming languages, systems architecture). Proficiency in one or more programming languages (e.g., Python, Java, C++, or similar). Excellent analytical and problem-solving skills; ability to spot logical flaws and inefficiencies in code or explanations. Native or near-native English fluency, with excellent written communication skills. As part of the project, you are required to complete the English language assessment. *The assessment is mandatory & non-billable* If interested, kindly share your updated resume at : tsingh3@innodata.com

Job Title: Junior BIM Architect (work from office job) Experience: 1-2 years ( Minimum 1 year of working experience in Autodesk Revit) Educational Qualification: B.Arch. / Diploma in Architecture / related field in the AEC industry Location: Ahmedabad At UniquesCadd we are a leading BIM service provider working on diverse projects across the Sweden, UK, UAE, France, Australia, Netherlands and Canada. We specialize in delivering high-quality architectural modelling, restoration, facility management, and Scan-to-BIM services. Join our growing team of passionate professionals dedicated to shaping the future of digital construction. Job Description: We are seeking a motivated and detail-oriented Junior BIM Architect with a minimum of 1 year of hands-on experience in Autodesk Revit. The ideal candidate should have an academic background in B.Arch., Diploma in Architecture, or a related field in the AEC industry. Key Responsibilities: · Develop accurate and detailed architectural BIM models using Autodesk Revit. · Model topography and architectural elements based on provided data and project requirements. · Understand and follow architecture discipline standards and coordination workflows. · Work efficiently in a central model environment and collaborate through BIM 360. · Prepare sheet layouts, annotations, and presentation drawings according to project standards. · Handle phasing work for renovation/restoration and new construction projects. · Coordinate with project leads and follow defined BIM execution plans. Required Skills & Qualifications: · Sound understanding of architectural modelling standards and BIM workflows. · Proficient in topography modelling and working with site-related elements. · Experience in working with central files and BIM 360 for team collaboration. · Knowledge of sheet setup, detailing, and annotation standards. · Familiarity with phases and design options in Revit. · Strong attention to detail and a commitment to high-quality deliverables. · Understanding of AutoCAD Software. · Experience in international projects (US/UK/UAE/Australia/Canada) is advantage. Job Location: Thaltej, Ahmedabad Salary Criteria: 20,000 to 30,000 per month (depends on interview process) Preferred joining: 1st week of July Interview Process: 1st Round: Practical test - tool test (Virtually) 2nd Round: Technical Round (On teams call) 3rd Round: HR Round - Joining and salary discussion (On call or face to face)

Overview Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri's R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond. If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you. Responsibilities Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more) Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability Format, index, and store datasets systematically to support training and evaluation of GeoAI models Assist in the creation of large-scale training datasets for deep learning projects Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base Provide technical support to internal and external users working with pretrained models or contributing datasets Requirements 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine) Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring Ability to document workflows clearly and communicate technical information effectively A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously Bachelor's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Existing work authorization for India Recommended Qualifications Master's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus Familiarity with AI/ML workflows and model training pipelines Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC) #LI-Hybrid #LI-PK1 The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.