1316 Annotation Jobs - Page 12

We’re hiring a Code Reviewer with deep Python expertise to review evaluations completed by data annotators assessing AI-generated Python 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 Python code. Assess if the Python 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 Python development, QA, or code review. Strong knowledge of Python 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. Skills: python,reinforcement learning from human feedback,debugging,llm evaluation,testing,communication,qa,docker,model alignment,testing tools,ai-generated python code,annotation workflows,c2,code review,ai training,b2,code execution environments,rlhf

Education: o Bachelor’s degree in Education, Training, Computer Science, Data Science, Business, or a related field. A Master’s degree is preferred. • Experience: o Minimum of 8 years of experience in training, learning and development, or a related field. o Experience in AI, data annotation, or a technology-driven environment is highly desirable. o Proven experience in managing and leading teams. • Skills: o Strong understanding of AI, machine learning, and data annotation processes. o Excellent leadership, communication, and interpersonal skills. o Strong analytical and problem-solving abilities. o Proficiency in project management tools and methodologies. o Ability to work in a fast-paced, dynamic environment and manage multiple priorities. AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. If you love a challenge, have experience leading teams in a fast-paced operational environment, passionate about upskilling and empowering through training, we want you on our team. We need an individual who thrives in a dynamic, fast-paced environment with the capacity and experience to lead a team of training managers in defining the learning strategy and then follow through to deliver impactful business results through implementation and delivery of the training at each site. In addition, this individual will run training programs to continuously improve the training processes and training efficiency. The ideal candidate will have a strong background in training and development, experience with AI or data-driven environments, ability to lead and motivate a diverse team and run programs independently with global stakeholders. Key job responsibilities Team Leadership: o Lead, mentor, and manage a team of trainers responsible for human input and data annotation for AI systems. o Foster a collaborative, inclusive, and high-performance culture within the team. o Conduct regular performance evaluations and provide constructive feedback. • Training Curriculum Development: o Design and implement training programs in collaboration with the Learning Experience Design team to improve the quality and efficiency of human input processes. o Develop best practices and standard operating procedures (SOPs) for training activities. o Ensure training programs are aligned with the latest advancements in AI and meet organizational goals and customer needs. • Quality Assurance: o Monitor the quality of human input data and annotations to ensure accuracy and consistency of the trained individuals. o Implement quality control measures to reduce errors and optimize data integrity. o Collaborate with AI engineers and data scientists to refine training processes based on feedback and model performance. • Process Improvement: o Continuously evaluate and improve training methodologies and processes. o Identify and implement innovative approaches to enhance training effectiveness and efficiency. o Stay updated on industry trends and emerging technologies related to AI training. • Stakeholder Collaboration: o Work closely with Operations, workforce management, quality to understand training needs and align them with project objectives. o Communicate effectively with stakeholders to gather requirements, provide updates, and address concerns. o Advocate for the training team’s needs and priorities within the broader organization. Key Competencies: Leadership and Team Management Quality Assurance and Attention to Detail Process Improvement and Innovation Strong Communication and Collaboration Project Management and Organizational Skills Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Description AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. If you love a challenge, have experience leading teams in a fast-paced operational environment, passionate about upskilling and empowering through training, we want you on our team. We need an individual who thrives in a dynamic, fast-paced environment with the capacity and experience to lead a team of training managers in defining the learning strategy and then follow through to deliver impactful business results through implementation and delivery of the training at each site. In addition, this individual will run training programs to continuously improve the training processes and training efficiency. The ideal candidate will have a strong background in training and development, experience with AI or data-driven environments, ability to lead and motivate a diverse team and run programs independently with global stakeholders. Key job responsibilities Team Leadership Lead, mentor, and manage a team of trainers responsible for human input and data annotation for AI systems. Foster a collaborative, inclusive, and high-performance culture within the team. Conduct regular performance evaluations and provide constructive feedback. Training Curriculum Development: Design and implement training programs in collaboration with the Learning Experience Design team to improve the quality and efficiency of human input processes. Develop best practices and standard operating procedures (SOPs) for training activities. Ensure training programs are aligned with the latest advancements in AI and meet organizational goals and customer needs. Quality Assurance: Monitor the quality of human input data and annotations to ensure accuracy and consistency of the trained individuals. Implement quality control measures to reduce errors and optimize data integrity. Collaborate with AI engineers and data scientists to refine training processes based on feedback and model performance. Process Improvement: Continuously evaluate and improve training methodologies and processes. Identify and implement innovative approaches to enhance training effectiveness and efficiency. Stay updated on industry trends and emerging technologies related to AI training. Stakeholder Collaboration: Work closely with Operations, workforce management, quality to understand training needs and align them with project objectives. Communicate effectively with stakeholders to gather requirements, provide updates, and address concerns. Advocate for the training team’s needs and priorities within the broader organization. Education BASIC QUALIFICATIONS Bachelor’s degree in Education, Training, Computer Science, Data Science, Business, or a related field. A Master’s degree is preferred. Experience: Minimum of 8 years of experience in training, learning and development, or a related field. Experience in AI, data annotation, or a technology-driven environment is highly desirable. Proven experience in managing and leading teams. Skills: Strong understanding of AI, machine learning, and data annotation processes. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Proficiency in project management tools and methodologies. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Preferred Qualifications Key Competencies: Leadership and Team Management Quality Assurance and Attention to Detail Process Improvement and Innovation Strong Communication and Collaboration Project Management and Organizational Skills Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3025985

Description AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. If you love a challenge, have experience leading teams in a fast-paced operational environment, passionate about upskilling and empowering through training, we want you on our team. We need an individual who thrives in a dynamic, fast-paced environment with the capacity and experience to lead a team of training managers in defining the learning strategy and then follow through to deliver impactful business results through implementation and delivery of the training at each site. In addition, this individual will run training programs to continuously improve the training processes and training efficiency. The ideal candidate will have a strong background in training and development, experience with AI or data-driven environments, ability to lead and motivate a diverse team and run programs independently with global stakeholders. Key job responsibilities Team Leadership Lead, mentor, and manage a team of trainers responsible for human input and data annotation for AI systems. Foster a collaborative, inclusive, and high-performance culture within the team. Conduct regular performance evaluations and provide constructive feedback. Training Curriculum Development: Design and implement training programs in collaboration with the Learning Experience Design team to improve the quality and efficiency of human input processes. Develop best practices and standard operating procedures (SOPs) for training activities. Ensure training programs are aligned with the latest advancements in AI and meet organizational goals and customer needs. Quality Assurance: Monitor the quality of human input data and annotations to ensure accuracy and consistency of the trained individuals. Implement quality control measures to reduce errors and optimize data integrity. Collaborate with AI engineers and data scientists to refine training processes based on feedback and model performance. Process Improvement: Continuously evaluate and improve training methodologies and processes. Identify and implement innovative approaches to enhance training effectiveness and efficiency. Stay updated on industry trends and emerging technologies related to AI training. Stakeholder Collaboration: Work closely with Operations, workforce management, quality to understand training needs and align them with project objectives. Communicate effectively with stakeholders to gather requirements, provide updates, and address concerns. Advocate for the training team’s needs and priorities within the broader organization. Education BASIC QUALIFICATIONS Bachelor’s degree in Education, Training, Computer Science, Data Science, Business, or a related field. A Master’s degree is preferred. Experience: Minimum of 8 years of experience in training, learning and development, or a related field. Experience in AI, data annotation, or a technology-driven environment is highly desirable. Proven experience in managing and leading teams. Skills: Strong understanding of AI, machine learning, and data annotation processes. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Proficiency in project management tools and methodologies. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Preferred Qualifications Key Competencies: Leadership and Team Management Quality Assurance and Attention to Detail Process Improvement and Innovation Strong Communication and Collaboration Project Management and Organizational Skills Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3025985

Role: Annotation Quality Lead Experience: 5+ Years Location: Hyderabad Notice Period: 15 Days Less (OR) Immediate A Day in the Life • Oversee quality checks, which involve interdisciplinary and intradisciplinary datasets, as well as randomized assessments to ensure the accuracy and consistency of annotations. • Perform intra- and inter-annotator quality control measures to detect and correct discrepancies within the annotation workflow. • Conduct regular audits to ensure compliance with standardized annotation practices. • Work closely with the Annotation Team to support ongoing quality assurance of annotation infrastructure. • Assist in creating and maintaining a Gold Standard database with reliable labels for quality benchmarking. • Conduct randomized checks to ensure annotation quality across the dataset and assess annotation performance. • Coordinate with the Annotation Program Liaison to review project objectives and quality standards. • Define appropriate sample sizes and quality control datasets, working directly with scientists and engineers on each study. • Lead training sessions or competency evaluations to ensure adherence to annotation standards prior to project initiation. Must Have • Bachelor’s or Master’s degree in Radiology, Medical Imaging, Pharmacy, Biomedical Engineering, or a related field, statistical background is a plus. • Expertise in medical imaging modalities (CT, MRI, X-ray, ultrasound) and proficiency with medical annotation tools (e.g., ITK-SNAP, 3D Slicer, Labelbox, V7 Labs). • Strong understanding of clinical anatomy, pathology, and medical terminology • Proven experience in medical image annotation, quality assurance with deep familiarity with DICOM, PACS, and other medical imaging systems, or a similar role within data-driven environments. • Strong analytical skills and meticulous attention to detail. • Effective communication and collaboration skills for cross-functional teamwork. • Familiarity with annotation tools and quality control software. • Knowledge of regulatory requirements, including HIPAA and GDPR compliance, for handling medical data. Principal Working Relationship • Reports to AI / Data Science Manager. • Collaborates closely with annotation specialists, scientists, and engineers across interdisciplinary teams. Nice to Haves • Experience with AI-driven medical image analysis models and deep learning techniques. • Knowledge of automated annotation tools or semi-automated pipelines. • Familiarity with clinical domains like oncology, cardiology, or pathology is a plus.

iMerit is a leading AI data solutions company specializing in transforming unstructured data into structured intelligence for advanced machine learning and analytics applications. Our clients span autonomous mobility, medical AI, agriculture, and more—powering next-generation AI systems with high-quality data services. About the Role We are seeking a skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines to provide visibility, insights, and automation across large-scale data operations. You will design and optimize robust data pipelines, build integrations with internal platforms (e.g., AngoHub, 3DPCT) and customer platforms, and support real-time metrics, dashboards, and workflows critical to customer delivery and operational excellence. Key Responsibilities ● Design and build scalable batch and real-time data pipelines across structured and unstructured sources. ● Integrate analytics and observability services with upstream annotation tools and downstream ML validation systems to enable full-cycle traceability. ● Collaborate with product, platform, and analytics teams to define event models, metrics, and data contracts. ● Develop ETL/ELT workflows using tools like AWS Glue, PySpark, or Airflow; ensure data quality, lineage, and reconciliation. ● Implement observability pipelines and alerts for mission-critical metrics (e.g., annotation throughput, quality KPIs, latency). ● Build data models and queries to power dashboards and insights via tools like Athena, QuickSight, or Redash. ● Contribute to infrastructure-as-code and CI/CD practices for deployment across cloud environments (preferably AWS). ● Document architecture, data flow, and support runbooks; continuously improve platform performance and resilience. ● Integrate with customer data platforms and pipelines, including bespoke data frameworks. Minimum Qualifications ● 4–8 years of experience in data engineering or backend development in data-intensive environments. ● Proficient in Python and SQL; familiarity with PySpark or other distributed processing frameworks. ● Strong experience with cloud-native data tools and services (S3, Lambda, Glue, Kinesis, Firehose, RDS). ● Familiarity with frameworks like Apache Hadoop, Apache Spark, and related tools for handling large datasets. ● Experience with data lake and warehouse patterns (e.g., Delta Lake, Redshift, Snowflake). ● Solid understanding of data modeling, schema design, and versioned datasets. ● Data Governance and Security: Understanding and implementing data governanc policies and security measures. ● Proven experience in building resilient, production-grade pipelines and troubleshooting live systems. ● Working knowledge of messaging frameworks like Kafka, Firehose etc ● Working knowledge of API frameworks, robust and performant API design ● Good working knowledge of Database fundamentals, relational databases and SQL Preferred Qualifications ● Experience with observability/monitoring systems (e.g., Prometheus, Grafana, OpenTelemetry) is a plus. ● Familiarity with data governance, RBAC, PII redaction, or compliance in analytics platforms. ● Exposure to annotation/ML workflow tools or ML model validation platforms. ● Comfort working in Agile, distributed teams using tools like Git, JIRA, and Slack. Why Join Us? You’ll work at the intersection of AI, data infrastructure, and impact—contributing to platforms that ensure AI is explainable, auditable, and ethical at scale. Join a team building the next generation of intelligent data operations.

Job Information Date Opened 07/07/2025 Job Type Full time Industry Technology Work Experience 0-1 year City Noida Province Uttar Pradesh Country India Postal Code 201303 Job Description Job Summary: We are dedicated to creating intelligent and engaging conversational experiences for users across various platforms. We are committed to leveraging cutting-edge technology and linguistic expertise to provide seamless communication in multiple languages. As a Hindi Linguistic Specialist, you will play a crucial role in ensuring the accuracy, fluency, and cultural relevance of our conversational AI solutions in Hindi. Key Responsibilities: Linguistic Analysis: Conduct linguistic analysis of the Hindi language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain. Language Modeling: Collaborate with the development team to create and refine language models for conversational AI in Hindi, considering syntax, grammar, and vocabulary. Translation and Localization: Translate and localize content from English or other languages into Hindi, ensuring cultural appropriateness and linguistic accuracy. Quality Assurance: Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Hindi. Data Collection and Annotation: Work on data collection, annotation, and validation tasks for training conversational AI models in Hindi, ensuring high-quality, diverse, and representative language data. Grammar and Style Guide Development: Develop and maintain a comprehensive grammar and style guide for Hindi to maintain consistency and quality in language usage within the conversational AI system. Collaboration and Communication: Collaborate effectively with cross-functional teams, including engineers, UX/UI designers, and product managers, to integrate linguistic insights into the development process. Feedback and Improvement: Provide feedback and suggestions for improving the conversational AI system's performance and linguistic capabilities in Hindi. Documentation: Create and maintain documentation related to linguistic guidelines, best practices, and standard procedures for Hindi language usage in the conversational AI system. Requirements Qualifications: Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Hindi Language, or a related field. Proficiency in Hindi, including an in-depth understanding of grammar, syntax, and cultural nuances. Understanding with NLP (Natural Language Processing) and conversational AI technologies. Strong communication skills and the ability to work collaboratively in a team environment. Attention to detail and a passion for language and linguistic analysis. Previous experience in linguistic analysis, translation, or NLP projects is desirable. Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously. Experience in working with language data, annotation tools, and linguistic databases. Understanding of machine learning concepts and their application to language processing.

- A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. - Excellent communication (written & oral), strong organizational skills and detail oriented. - Strong analytical, problem-solving, and critical-thinking skills - Comfortable working in a fast paced, highly collaborative, dynamic work environment - Willingness to support several projects at one time, and to accept re-prioritization as necessary - Detail-oriented, team-focused, and a quick problem-solver. - Advanced proficiency in MS Office The OPTIMA team is seeking a Manager I, Training. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them with reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Training Manager, will be responsible for planning, coordinating, executing and delivering training programs for OPTIMA business. The ideal candidate will provide regular supervision to the training team, conduct thorough analysis of training outcomes, and deliver constructive performance feedback to drive continuous improvement. They must demonstrate strong capabilities in optimizing training efficiency through systematic approaches, including the development of standardized training materials, implementation of best practices, and utilization of performance analytics. The role demands thought clarity and cross-functional partnership. The candidate will influence stakeholders, have strong analytical skills, a track record of using data and tools to drive business impact and be comfortable working in an ambiguous environment. Key job responsibilities - Manage training team across 5 sites. - Manage work prioritization and delivery based on business needs. - Schedule large-scale training initiatives, tracking training completion, and reporting out on training progress. - Maximize productivity and Training efficiency through standardization, strong process documentation, supervision, analysis and performance feedback on a periodic basis. - Ensure and drive best practices standardization across all sites. - Foster the development and growth of employees (on-boarding, mentoring, teaching, etc.). - Ensure training results are trackable, sustainable, achieving goal and strategy. Business Analytics experience Exceptional writing skills and significant experience in people management Familiarity with online learning technology Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

- A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. - Excellent communication (written & oral), strong organizational skills and detail oriented. - Strong analytical, problem-solving, and critical-thinking skills - Comfortable working in a fast paced, highly collaborative, dynamic work environment - Willingness to support several projects at one time, and to accept re-prioritization as necessary - Detail-oriented, team-focused, and a quick problem-solver. - Advanced proficiency in MS Office The OPTIMA team is seeking a Manager I, Training. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them with reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Training Manager, will be responsible for planning, coordinating, executing and delivering training programs for OPTIMA business. The ideal candidate will provide regular supervision to the training team, conduct thorough analysis of training outcomes, and deliver constructive performance feedback to drive continuous improvement. They must demonstrate strong capabilities in optimizing training efficiency through systematic approaches, including the development of standardized training materials, implementation of best practices, and utilization of performance analytics. The role demands thought clarity and cross-functional partnership. The candidate will influence stakeholders, have strong analytical skills, a track record of using data and tools to drive business impact and be comfortable working in an ambiguous environment. Key job responsibilities - Manage training team across 5 sites. - Manage work prioritization and delivery based on business needs. - Schedule large-scale training initiatives, tracking training completion, and reporting out on training progress. - Maximize productivity and Training efficiency through standardization, strong process documentation, supervision, analysis and performance feedback on a periodic basis. - Ensure and drive best practices standardization across all sites. - Foster the development and growth of employees (on-boarding, mentoring, teaching, etc.). - Ensure training results are trackable, sustainable, achieving goal and strategy. Business Analytics experience Exceptional writing skills and significant experience in people management Familiarity with online learning technology Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. About the role: We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation. Job Title: Linguistics Expert – AI Training & Content Writing Experience Level: Master's or PhD in Linguistics or a related field Key Responsibilities: Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines. Identify and resolve issues related to ambiguity, bias, and grammaticality. Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness. Annotate linguistic datasets with syntactic, semantic, or pragmatic labels. Support internal teams by conducting linguistic research and summarizing findings. Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues. Qualifications: Master’s or PhD in Linguistics, Applied Linguistics, Computational Linguistics, or a related field. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills. If interested, kindly share your resume at :tsingh3@innodata.com

About the company Alphaabets is a Digital Twin Consulting & Implementation company delivering deep tech engineering solutions focused on 3D Design , Multi physics simulation, Digital Manufacturing & AR/VR. Transport & Mobility – across Automotive (Traditional Auto, EV) , Aerospace & Shipbuilding Education - Industry 4. 0 Learning & Startup – for Core Engineering Disciplines – Aerospace, Mechanical, Automotive and Civil & Structural. Infrastructure & Cities – Urban planning, Integrated Design & Construction Planning , BIM 4D/5D JOB TITLE: MEP ENGINEER- CIVIL JOB DISCRIPTION · Able to understand Process flow diagrams & 2D P&ID Drawings provided by the Customer · Able to independently create data setup, catalogue for Mechanical, Piping & HVAC modules · Able to create Attribute data mapping for object types & naming schema as per Project requirements · Should be able to perform 3D Modelling related to Mechanical equipment, piping, outfitting components, Piping support, and related 2D Drawings (General Arrangements, Equipment Assembly, Piping layout and ISOMETRIC drawings) · Should be able to perform 3D Modelling related to HVAC, outfitting components, HVAC support, and related 2D Drawings (HVAC Duct layout and ISOMETRIC drawings) · Able to create Drawing templates as per customer drawing templates & annotation preference. · Able to Extract Bill of Quantity report for Mechanical, Piping & HVAC components as per Customer Unit of measure. · Able to Perform Design Reviews as per customer requirement. · Able to coordinate with other contractors for design inputs Requirements: Mtech/Btech in Civil Engineering with a minimum of 1-2 Experience Well-developed interpersonal skills and the ability to communicate effectively at all levels both verbal and written. A strong, self-motivated, and assertive person capable of working under pressure. Working independently as well as with the client team. Should be open for deputation to multinational client for a duration of 6-8months (Pune/Mumbai). Deputation cost will be covered by the Company. Location : Bangalore Job Type : Full-time Pay : 3-4 LPA Benefits : · Health insurance · Provident Fund Schedule : Day shift Experience: BIM: 2 years (Preferred) Work Location: In person Job Type: Full-time Pay: ₹300,000.00 - ₹400,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Application Question(s): How many years of relevant experience do you have What is your current location What is your current CTC (Per Annum) What is your notice period 18months of Service Agreement is applicable (Yes/No) Work Location: In person

Company Description DeepLLMData specializes in providing expert human data to power frontier models. The company focuses on Coding SFT, RLHF, STEM, PhD, Maths, and domain-specific experts. They also offer image and video annotation services as well as data provisioning for image and video projects. Role Description This is a task based remote role for Marketing Professionals - For LLM Model Training . A great chance to provide your expertise on executing hourly based task. We are looking for expertise in following areas: Brand Marketing (Brand storytelling, campaigns, identity) Performance Marketing (Paid media, CRO, A/B testing, attribution) Content Marketing (Blogs, SEO, social media, multimedia) Product Marketing (GTM, positioning, competitive analysis) Lifecycle/CRM (Segmentation, email/SMS, automation, retention) Growth & Demand Gen (Lead gen, funnel optimization, partnerships) Insights & Analytics (Market research, behavioral analysis, reporting) Qualifications Strong communication and deep Marketing skills Knowledge of marketing strategy Ability to work independently and remotely Excellent analytical and problem-solving skills Bachelor's degree .

DeepLLMData specializes in providing expert human data to power frontier models. The company focuses on Coding SFT, RLHF, STEM, PhD, Maths, and domain-specific experts. They also offer image and video annotation services as well as data provisioning for image and video projects. Role Description This is a task based remote role for Retail Professionals - For LLM Model Training . A great chance to provide your expertise on executing hourly based task. We are looking for expertise in following areas: Retail Operations and Planning Experts: Merchandising (Assortment planning, promotions, vendor collaboration) Store Operations (Staffing, customer service, compliance) E-commerce & Digital (Website UX, personalization, omnichannel strategy) Customer Service/Support (Live chat, returns, satisfaction) Retail Analytics (Forecasting, shopper behavior, KPIs) Loyalty & CRM (Rewards, personalization, VIP programs) Work : Task based on hourly based. Bachelors degree is a must.

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at We’re looking for an experienced Sr. Manager, Applied Science (M3) with deep expertise in Generative AI and Computer Vision to lead a high-impact applied science team within OCI. In this role, you will drive the development of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. Key Responsibilities Applied Research & Development Lead a team of applied scientists and data engineers to research, prototype, and productize computer vision and generative AI solutions for image /video data Evaluate and integrate emerging technologies such as LLMs, LMMs, and diffusion models into production-grade services. ML Solution Design Translate business and functional requirements into robust machine learning requirements. Architect, develop, train, and fine-tune ML models for performance, scalability, and real-time processing. Cross-functional Collaboration Partner closely with product managers, engineering leads, and annotation/data teams to align on priorities, define requirements, and deliver end- to-end AI capabilities. Foster a collaborative and innovative team culture that bridges science, product, and engineering needs. Product Innovation Drive the transformation of scientific advancements into marketable AI-driven services. Ensure solutions are competitive, customer-focused, and aligned with OCI’s strategic vision. Data Analytics & Insights Leverage large-scale data to generate actionable insights and inform model development, evaluation, and continuous improvement. Quality, Security & IP Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Identify and lead efforts in intellectual property creation, including patents and publications. Preferred Qualifications Ph.D. (preferred) or Master’s in Computer Science, Machine Learning, Computer Vision, or related field. Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in such as CNNs, transformers, diffusion models, and multimodal models. deep learning architectures Demonstrated ability to build and scale ML pipelines and AI services in production environments. Proven managing and mentoring high-performing applied science teams. leadership Experience Excellent communication skills, including the ability to clearly explain complex technical concepts to both technical and non-technical stakeholders. Strong business acumen with the ability to align technical initiatives to broader business goals. Comfortable operating in fast-paced, evolving environments with shifting priorities.

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. provider. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. We’re looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies Perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Master’s in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algo

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. About Us At Netradyne, our team is committed to delivering solutions to our customers that advance their market leadership. Our focus is to continuously drive innovation, while delivering meaningful actionable data. The Netradyne Driveri® Vision-Based Driver Recognition Safety Program significantly advances the technology category through the application of Artificial Intelligence, Machine Learning and Edge Computing. The foundations of Driveri® are equally focused on providing comprehensive performance insights, highlighting positive activity as well as significantly reducing the resources needed to address risk. Netradyne draws from a diverse team of innovators, technologist, and customer advocates to create an experience where customer success continues to motivate what is next. Supported and funded by our investors, M12, Hyundai Cradle, Point72 Ventures, SoftBank and Reliance Industrial Investments and Holdings; Netradyne is committed to building a world-class team of technologists and industry experts to deliver product that improve safety, increase productivity, and optimize collaboration within the organizations. With growth exceeding 3x year over year, our solution is quickly being recognized as a significant disruptive technology – that has put ‘legacy’ providers in a “spin” cycle trying to catch up. Our team is growing, and we need forward thinking, uncompromising, competitive team members to continue to facilitate our growth. Location – Bangalore Working Model – Working from Office This role reports to the Sr VP and will be a key member of the Program Management function. Responsibilities – Drive one of the new product developments, product enhancements, customer deliverables or internal projects. Ensure success of key account deliverables by being the bridge between business requirements and Netradyne engineering. Respond to the technical questionnaire for large prospect RFPs. Communicate extensively with key customer account stakeholders (business and technical) and internal stakeholders (Engineering, Operations, Business) via all modes and all geographies. Identify and proactively remove any potential roadblocks to customer success. Use interpersonal skills to develop strong internal and external relationships, and leverage those to improve collaboration. Provide regular and proactive updates to Netradyne Senior Management on Program progress. Understand technical requirements from customer and/or partner, and identify potential architectural solutions to achieve the same, given knowledge of Netradyne product architecture. Collaborate internally to conclude on the architecture as necessary. Develop deep understanding of Netradyne Product and Architecture. Be the SME on published and unpublished product functionalities. Apply statistical & machine learning expertise to map requirements to key metrics and targets (even though they aren’t explicitly communicated by stakeholders). Manage project schedule by taking the nuanced / iterative nature of machine learning project lifecycle into account. Manage data annotation aspects including quality, productivity and logistics. Communicate with internal and external stakeholders on the schedule and quality of the machine learning projects. We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. If there is a match between your experiences/skills and the Company's needs, we will contact you directly. Netradyne is an equal-opportunity employer. Applicants only - Recruiting agencies do not contact. Recruitment Fraud Alert! There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’. Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.

Job description: We are hiring a Machine Learning Engineer / Python Developer to build a real-time hanger detection and counting system for the garment industry. The ideal candidate will use computer vision and deep learning to detect and count hangers from live camera feeds, ensuring accuracy and performance in a real production environment. Key Responsibilities: Develop and guide our team on object detection models using YOLOv5/v8, TensorFlow, or PyTorch to identify hangers on a moving production line. Process live camera feeds using OpenCV and stream via RTSP or USB/webcams. Build a complete detection and counting software solution tailored for the garment industry. Ensure accurate detection and prevent double-counting using object tracking algorithms (e.g., SORT, DeepSORT). Prepare and label custom datasets using tools like LabelImg or Roboflow. Optimize the model to run efficiently on industrial PCs or edge devices like Jetson Nano or Raspberry Pi. Collaborate with hardware/software engineers for system integration and deployment. Build a basic dashboard or interface (optional) using Flask/FastAPI for internal use. Mandatory Skills & Requirements: Strong Python programming skills with OpenCV experience Knowledge of YOLOv5/v8 or equivalent object detection frameworks. Hands-on experience with deep learning frameworks like PyTorch or TensorFlow. Experience with live video feed processing and stream handling. Understanding of object tracking to avoid miscounts. Familiarity with data annotation tools like LabelImg or Roboflow. Good problem-solving and debugging skills. Freshers do not apply. Good to Have: Degree in Computer Science, Artificial Intelligence, or related field. Experience deploying ML models on Jetson Nano, Raspberry Pi, or industrial PCs. Familiarity with Flask/FastAPI for lightweight APIs. Experience using Docker and Git for version control and deployment (optional but helpful). Job Types: Full-time, Part-time Pay: ₹600,000.00 per year Benefits: Food provided Work from home Schedule: Day shift Experience: Python: 4 years (Required) Work Location: In person

Roles & Responsibilites Will be working with our IT department Will be included in all activities of our new products Note: Kindly apply only if you satisfy the below given concern 1. Chennai Candidates only 2. Immediate Joiner only Qualification Bachelor's Degree Job Types: Part-time, Fresher, Internship Contract length: 30 days Pay: Up to ₹3,000.00 per month Schedule: Day shift Monday to Friday Weekend availability Application Question(s): Do you have laptop? Are you ready to work in data annotation and classification process? Where is your current location? Work Location: In person Expected Start Date: 05/07/2025

Location: Work From Home We’re looking for Python Developers with 1–4 years of experience to join our remote team part-time. If you're passionate about writing clean code, love solving real-world problems, and want to work from anywhere with a flexible schedule — this is your chance. Role: Python Developer – LLM Code Evaluation As a Python Developer, you’ll review and analyze AI-generated Python code, validate logic, and ensure accuracy and security. Your insights will directly impact the quality of training data used for improving large language models (LLMs). Key Responsibilities Review assessments of AI-generated Python code. Check for accuracy, security, and instruction adherence. Test and validate code snippets through proof-of-work methods. Flag incorrect evaluations and provide constructive feedback. Follow project-specific QA/evaluation guidelines. Requirements 1–4 years of Python development or code review experience. Strong understanding of Python basics, testing, and edge cases. Familiarity with debugging tools and code execution environments. Excellent written English and communication skills. Ability to work independently with high attention to detail. Nice to Have Prior experience with AI/LLM evaluation or QA processes. Exposure to RLHF or annotation workflows. Knowledge of annotation tools and model training pipelines. Interview Process Coderbyte Assessment (No cheating. We take integrity seriously.) Video Introduction (No script reading. Ensure your mic is working.) Video must include audio – submissions without audio will be rejected. If you're ready to contribute to the future of AI and love working on Python projects at your own pace – we’d love to hear from you. Apply Now & Start as Early as This Week! Only shortlisted candidates will be contacted.

About the Company A fast-growing AI company is building systems that use large language models (LLMs) to automate key parts of the hiring process — from resume screening to interviewing and final decision-making. Already used by top-tier AI labs , the company has reached a $100 million revenue run rate and is growing 59% month-over-month , backed by a lean team and strong profitability. About the Role The Applied AI Engineer will work across machine learning, product engineering, and customer operations. This role is ideal for someone who combines technical depth with a strong product mindset , and thrives in fast feedback loops . Key Responsibilities Convert raw datasets into clean, structured signals ready for model training Design product features and infrastructure based on real-time user and ops feedback Build internal tools and prototypes that help users extract value from the platform Collaborate closely with engineering, operations, and ML teams Participate in rapid experimentation , shipping iterative improvements frequently What We’re Looking For Experience at a startup or as a founder Proficient in React , Next.js , and Python Strong understanding of SQL and NoSQL schema design Familiarity with Airflow or similar orchestration/ETL tools Experience deploying LLMs or ML models in production, including evaluation pipelines Background in systems integration (CRMs, ATSs, data warehouses, etc.) Interest in evaluation frameworks , benchmarks, or annotation tools Detail-oriented with a passion for continuous learning Compensation Details Base Salary : $40,000 to $100,000 USD annually Bonus : Up to 40% of base, linked to individual and company performance

Job Title : Data Annotation Location State : Karnataka Location City : Bangalore Experience Required : 2 to 3 Year(s) Shift: Rotational Work Mode: Onsite Position Type: C2H Openings: 20 Good Communication skills Notice period - Immediate joiners Local Bangalore candidate Interested candidate share there updated resume sangeeta.t@varite.com For more information contact sangeeta @ 8929376486 Company Name: VARITE INDIA PRIVATE LIMITED About The Client: An American multinational computer technology company headquartered in Austin, Texas, United States. A global technology provider offers a comprehensive suite of software solutions, encompassing a flagship relational database management system, enterprise resource planning, customer relationship management, and cloud services. Additionally, the company delivers middleware products, business intelligence tools, and industry-specific applications, addressing diverse business needs worldwide. As a key player in application development, it stewards a widely utilized programming language. These software solutions cater to businesses across various industries and are widely adopted for scalability, security, and innovation. About The Job: Image, Video and text annotators contribute to the development of AI and machine learning systems by providing accurately labeled datasets, enabling the training and evaluation of algorithms for various applications such as object detection, image classification, semantic segmentation, and more. Should have two years of experience in labeling or annotating various elements within images/videos or visual data Should have annotated temporal information within videos, such as tracking the movement or trajectory of objects, identifying key frames, or annotating specific actions or events occurring over time. Should have annotated images by marking and labeling specific objects, regions, or features within the images. This may involve drawing bounding boxes around objects, highlighting points of interest, or segmenting objects using polygons or masks Ensure the quality and accuracy of annotated data by reviewing and verifying annotations for correctness and consistency Follow and adhere to specific annotation guidelines, instructions, or specifications provided by the project or company. This includes understanding and applying domain-specific knowledge, as well as adapting to evolving requirements. Collaborate with team members, project managers, or stakeholders to address any questions, concerns, or issues related to the annotation process. Effective communication is essential for ensuring consistent and accurate annotations. Experience working on complex annotation tasks including 3D lidar labeling. Excellent written and verbal communication skills to convey technical challenges and updates. Report any data quality issues or tool-related challenges to the project leads in a timely manner. Essential Job Functions : Minimum 2+ years of hands-on experience in data annotation across image, video, and/or text datasets. Should have completed graduation with any degree with strong communication skills in English (reading, writing and speaking) Strong proficiency with annotation techniques like interpolation and object tracking. Experience working on complex annotation tasks including 3D lidar labeling. Solid understanding of various annotation techniques: bounding boxes, segmentation, polygonal labeling, keypoint annotation, etc. Ability to follow complex project guidelines with a high level of attention to detail. Team player with the ability to work collaboratively and independently in a fast-paced environment. Qualifications: B.TECH/ B.E/ MCA/ BCA Good Communication skills How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status. Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE. Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000 About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

As an AI Research Apprentice you'll push the frontiers of generative and multimodal learning that power our autonomous robots. You will prototype diffusion-based vision models, vision-language architectures (VLAs/VLMs) and automated data-annotation pipelines that turn raw site footage into training gold. Key Responsibilities Design and train diffusion-based generative models for realistic, high-resolution synthetic data Build compact Vision-Language Models (VLMs) to caption, query and retrieve job-site scenes for downstream perception tasks Develop Vision-Language Alignment (VLA) objectives that link textual work-orders with pixel-level segmentation masks Architect large-scale auto-annotation pipelines that transform unlabeled images / point-clouds into high-quality labels with minimal human input Benchmark model performance on accuracy, latency and memory for deployment on Jetson-class hardware; compress with distillation or LoRA Collaborate with perception and robotics teams to integrate research prototypes into live ROS 2 stacks Qualifications & Skills Strong foundation in deep learning, probabilistic modeling and computer vision (coursework or research projects) Hands-on experience with diffusion models (e.g., DDPM, Latent Diffusion) in PyTorch or JAX Familiarity with multimodal transformers / VLMs (CLIP, BLIP, Flamingo, LLaVA, etc.) and contrastive pre-training objectives Working knowledge of data-centric AI: active learning, self-training, pseudo-labeling and large-scale annotation pipelines Solid coding skills in Python, PyTorch / Lightning, plus git-driven workflows; bonus for C++ and CUDA kernels Bonus: experience with on-device inference (TensorRT, ONNX Runtime) & synthetic data tools (Isaac Sim) Why Join Us Research bleeding-edge generative & multimodal tech and watch it land on real construction robots Publish, patent and open-source: we encourage conference submissions and community engagement Help build a company from the ground up—your experiments can become flagship product features Requirements PyTorch or JAX C++ CUDA kernels ONNX Runtime TensorRT Isaac Sim Latent Diffusion

Drive the next wave of generative and multimodal intelligence that powers our autonomous drywall-finishing robots. As a core member of the AI Research team, you'll turn cutting-edge vision-language and diffusion advances into robust, real-time systems that see, reason, and act on dynamic construction sites. Key Responsibilities Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis, and domain adaptation Architect and train Vision-Language Models (VLMs) and Vision-Language Alignment (VLA) objectives that connect textual work orders, CAD plans, and sensor data to pixel-level understanding Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2 Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation, and production hand-off to perception & controls teams Publish internal tech reports and external conference papers; mentor interns and junior engineers Qualifications & Skills 3+ years in deep-learning R\&D or Ph.D./M.S. in CS, EE, Robotics or related field with strong publication record Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet) and multimodal transformers / VLMs (CLIP, BLIP-2, LLaVA, Flamingo) Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision Advanced proficiency in Python, PyTorch (or JAX), experiment tracking, and scalable training (PyTorch Lightning, DeepSpeed, Ray) Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning Strong mathematical foundation (probability, information theory, optimization) and ability to translate theory into production code Bonus: experience with synthetic data generation in Isaac Sim, or robotics perception stacks (ROS2, Nav2, MoveIt 2, Open3D) Why join us? Own breakthrough tech from idea to autonomous robot on active job-sites—your work leaves the lab fast Collaborate cross-functionally with perception, controls, and product teams & publish at top venues with company support Shape an industry by replacing dangerous, repetitive construction labor with intelligent robots Competitive salary + equity, hardware budget, flexible hybrid work, and a culture that prizes deep work and rapid iteration Requirements Vision-Language Models Vision-Language Alignment R\&D Ph.D./M.S. in CS, EE, Robotics TensorRT, ONNX Runtime CUDA / C++

Design, develop, and maintain digital pathology and medical imaging software solutions, adhering to DICOM and related standards. Integrate and optimize AI/machine learning models within imaging workflows for tasks such as classification, segmentation, or feature extraction. Collaborate with cross-functional teams, including data scientists, clinicians, and product managers, to gather requirements and deliver high-quality solutions. Develop and support robust pipelines for image data ingestion, secure storage, retrieval, visualization, and analysis. Work with large-scale clinical and research imaging datasets, ensuring data integrity, compliance, and performance. Utilize and extend industry-standard imaging libraries and toolkits such as pydicom, OpenSlide, and ITK. Implement and maintain comprehensive software documentation, tests, and quality assurance processes. Participate in peer code reviews to ensure coding standards and best practices. Stay current with industry trends, new standards such as DICOMweb, and emerging technologies in digital pathology and AI. Contribute to the continuous improvement of engineering processes, including CI/CD pipelines and containerization strategies. Support troubleshooting, debugging, and resolution of image data and software-related issues. Ensure compliance with healthcare regulations and standards regarding data security and software quality. Mandatory Skills: Strong programming proficiency in Python. Solid understanding of DICOM and/or digital pathology standards such as WSI, DICOMweb, and HL7. Experience with medical imaging libraries or toolkits such as pydicom and OpenSlide. In-depth knowledge of AWS services, including but not limited to EC2, S3, Lambda, RDS, IAM, CloudFormation, and API Gateway. Familiarity with database technologies, whether SQL or NoSQL, for imaging data management. Experience working with large-scale image datasets, including secure storage and efficient retrieval. Understanding of version control systems such as Git. Strong skills in technical documentation and producing maintainable code. Ability to work effectively in a collaborative, multidisciplinary team environment. Excellent written and verbal communication skills. Preferred Skills: Experience developing, integrating, or deploying AI/machine learning models for medical imaging tasks such as image classification, segmentation, or feature extraction. Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Knowledge of annotation tools and data formats commonly used in pathology and imaging datasets. Experience with containerization technologies such as Docker and Kubernetes, along with cloud engineering practices. Understanding of continuous integration/continuous deployment (CI/CD) pipelines and automated testing frameworks. Prior work on whole slide imaging (WSI) workflows and digital pathology image viewers. Educational Requirements: Bachelors or masters degree in computer science or an IT-related discipline with at least 8 years of experience in the IT industry.

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.