Knowledge of US road rules, visualization technicalities on simulations environment, Lidar expertise, driving experience, path planning and mapping. Ability to suggest optimal waypoint placements. Awareness of speed limitations while setting waypoints.

Position: Process Trainer (GIS) Required Skill: • Develop and deliver GIS training for all skill levels. • Create training materials and online resources. • Conduct hands-on sessions with GIS software (ArcGIS, QGIS). • Analyze spatial data using mapping software and identify patterns and trends. • Design digital maps and convert physical maps to digital formats. • Perform data cleaning and transformation for desired outputs. • Generate reports utilizing data visualizations. • Manage a digital library of geographic maps. • Utilize Geoprocessing tools like clipping, merging, and reprojecting. • Evaluate training effectiveness through assessments and feedback. • Provide one-on-one coaching and technical support. • Stay updated with GIS advancements and incorporate them into training.

Position: L&D Specialist :AV Simuation (Process tariner) Required Skill: • Hands-on experience with AV simulation tools and YAML scripting Deep understanding of LiDAR data, synthetic simulation, and scenario-based testing Knowledge of AV modules: prediction, planning, perception, and motion control Proficiency with GenAI tools for automation and analysis Strong analytical and presentation skill • Proficient in Jira, MS Excel/PowerPoint, Confluence, Notion, and dashboard tools • Excellent command over English language Good facilitation & Communication Skills Attention to Detail Positive Attitude/Approach Strong Interpersonal Skills & Analytical bent of mind Excellent Time & Quality Management Good team player • Exposure of working under overseas/cross-cultural client setup

Job Title: Generative AI Analyst Responsibilities: Large Language Model Data Evaluation & Narrations: Execute data evaluation, narration, and labeling tasks according to client requirements and guidelines with precision and attention to detail for AI model training Language Proficiency: Demonstrate a high level of English language proficiency (C1 level or above) in both written and verbal communication. C1 TOEFL or ielts CERTIFICATION OR Equivalent Adherence to Guidelines : Follow client-specific instructions and guidelines meticulously to produce consistently accurate annotations. Quality Assurance: Perform quality checks on annotated data to maintain high standards of accuracy and completeness. Communication: Collaborate effectively with team members and project managers to address queries and ensure smooth workflow. Feedback Integration: Actively participate in feedback sessions and incorporate constructive feedback into your work to improve annotation quality. Requirements: Language Skills: Proficiency in English at a C1 level or higher, both written and verbal. Attention to Detail: Strong attention to detail and ability to follow guidelines accurately. Adaptability: Ability to adapt to changing project requirements and priorities. Team Collaboration: Strong team collaboration and communication skills. Tech Savvy: Comfortable working with annotation tools and technology platforms.. Generative AI Understanding: Familiarity with generative AI concepts and a keen interest in contributing to the advancement of language generation technologies. Autonomous vehicle: (Good to have skills) Understanding of perception and prediction labeling work in AV domain is a plus.

Job Title: Generative AI Analyst Responsibilities: Large Language Model Data Evaluation & Narrations: Execute data evaluation, narration, and labeling tasks according to client requirements and guidelines with precision and attention to detail for AI model training Language Proficiency: Demonstrate a high level of English language proficiency (C1 level or above) in both written and verbal communication. C1 TOEFL or ielts CERTIFICATION OR Equivalent Adherence to Guidelines : Follow client-specific instructions and guidelines meticulously to produce consistently accurate annotations. Quality Assurance: Perform quality checks on annotated data to maintain high standards of accuracy and completeness. Communication: Collaborate effectively with team members and project managers to address queries and ensure smooth workflow. Feedback Integration: Actively participate in feedback sessions and incorporate constructive feedback into your work to improve annotation quality. Requirements: Language Skills: Proficiency in English at a C1 level or higher, both written and verbal. Attention to Detail: Strong attention to detail and ability to follow guidelines accurately. Adaptability: Ability to adapt to changing project requirements and priorities. Team Collaboration: Strong team collaboration and communication skills. Tech Savvy: Comfortable working with annotation tools and technology platforms.. Generative AI Understanding: Familiarity with generative AI concepts and a keen interest in contributing to the advancement of language generation technologies. Autonomous vehicle: (Good to have skills) Understanding of perception and prediction labeling work in AV domain is a plus.

The Senior Manager of Talent Acquisition and Workforce will be responsible for leading and executing talent acquisition (APAC) strategies to ensure the organization attracts, engages, and hires top talent worldwide. This role will focus on building strong talent pipelines, optimizing recruitment processes, and ensuring alignment with the companys overall business goals and workforce strategy. The Senior Manager will work closely with senior leadership, hiring managers, and HR teams to meet both current and future workforce needs across markets. Key Responsibilities: Strategic Leadership: Lead the development and execution of a comprehensive talent acquisition strategy that aligns with the companys business objectives and workforce planning needs. Talent Pipeline Development: Build and maintain a robust talent pipeline, ensuring a continuous flow of high-quality candidates for critical roles across all regions. Recruitment Process Optimization: Oversee and continuously improve recruitment processes, including candidate sourcing, selection, interviewing, and hiring. Implement best practices and industry standards to enhance efficiency, reduce time-to-fill, and increase candidate satisfaction. Team Leadership & Development: Manage and mentor a high-performing, diverse team of recruiters across multiple geographies. Provide guidance, training, and performance feedback to ensure professional growth and alignment with team goals. Collaboration with Senior Leaders: Partner with senior leadership to understand the organizations talent needs, business priorities, and long-term workforce planning. Provide expertise in workforce strategies to drive business success. Workforce Planning: Collaborate with HR and business leaders to design and implement workforce planning strategies that anticipate current and future talent needs, focusing on both short-term and long-term hiring goals. Employer Branding: Champion the company’s employer brand across all markets. Develop and implement strategies that promote the company as an employer of choice, leveraging both traditional and digital channels to reach top talent. Data-Driven Decision Making: Utilize analytics and reporting tools to track recruitment metrics and assess the effectiveness of talent acquisition strategies. Provide insights and recommendations to senior management based on data analysis. Compliance & Diversity: Ensure all recruitment practices comply with local laws and regulations, as well as internal policies. Drive diversity, equity, and inclusion (DEI) initiatives through targeted recruiting strategies. Vendor & Stakeholder Management: Manage relationships with third-party recruitment agencies, job boards, and other vendors. Negotiate contracts and ensure services are delivered according to agreed-upon standards. Continuous Improvement: Stay informed on labor market trends, emerging recruitment technologies, and best practices to keep the talent acquisition strategy at the forefront of industry developments. Qualifications & Requirements: Education: Bachelor’s degree in Human Resources, Business Administration, or related field. Master’s degree preferred. Experience: Minimum of 10-13 years of experience in talent acquisition, with at least 3-5 years in a leading a team. Proven hand on experience in managing recruitment efforts across multiple regions and markets. Strong expertise in building and executing recruitment strategies for diverse job functions, including technical, corporate, and leadership roles. Skills: Strong leadership and people management skills with the ability to influence and collaborate effectively across functions. Deep understanding of recruitment technologies, applicant tracking systems (ATS), and talent acquisition tools. Experience with workforce planning, data analytics, and performance metrics to drive talent acquisition outcomes. Excellent communication, negotiation, and interpersonal skills. Knowledge of labor laws, employment practices, and compliance regulations. Experience in driving diversity and inclusion initiatives within talent acquisition. Preferred: Experience with implementing and optimizing recruitment strategies. Experience working in multilingual environments. Key Competencies: Leadership: Ability to lead and inspire a team, fostering a collaborative and high-performance culture. Strategic Thinking: Ability to develop long-term strategies and execute them effectively to meet the organization’s talent needs. Problem Solving: Strong analytical and problem-solving skills to overcome recruitment challenges and meet hiring goals. Agility: Ability to manage multiple priorities in a fast-paced, environment. Adaptability: Flexible and responsive to changes in market conditions and business priorities. Why Join Us? At iMerit, we are committed to building an inclusive, diverse, and innovative workforce. As the Senior Manager of Talent Acquisition and Workforce, you will have the opportunity to shape the future of our team and contribute to the company’s growth and success on an international scale.

Role / Designation: Project Manager, Location: Shillong Years of Experience: 7-10 years of relevant experience in Client Facing role in IT Services; Preferably leading AI Data Annotation Teams Education Qualifications : Engineering Degree / Masters Degree / Bachelors Degree Certifications: PMP or Prince 2 certification or Any other industry recognized Project Management Certification (Any One) Other requirements: Ability to travel between iMerit offices up to 25%. Responsibilities will include but not limited to the following: • Overall day-to-day management of data labelling projects, ensuring the project output meets the agreed quality, budget and timeline as agreed with clients. • Work closely with Sr. Project manager to understand project feasibility and help in budgeting, timelines, resource planning and execution. • Ensure compliance to organizational standards, including safety standards and client or customer communications. • Work with cross functional teams to understand the project requirement and to execute a holistic strategy and delivery plan and then own overall responsibility for the successful execution of the project. • Managing deadlines, multitasking, and maintaining high production and quality standards. Being responsible to achieve project success parameters. • Support business development by providing input on project proposal submissions, close new contracts, calculate financial viability and scope of work. • Actively work towards the improvement of processes and automating relevant reports. • Monitor and provide feedback to managed staff to effect improvements in organizational goals. • Review and filter applications for potential new hires. • Assist in interviewing applicants and confer with senior-level management on hiring process. Skill requirements • Experience with working in a high-volume distribution center environment • Proven ability to perform data driven analyses including problem statement, data discovery, and result communication • Quality oriented with high attention to detail • Passionate about technology, self-learner who keeps abreast with latest developments. • Excellent presentation and communication skills; Comfortable explaining technical topics to non-technical users • Team player who can work autonomously and is self-motivated to deliver quality results in a timely manner • Ability to thrive in a fast-paced start-up environment, and to manage multiple, competing priorities simultaneously. Must be comfortable in ambiguity and constantly evolving environment • Proven ability to deal with problems and solve them effectively • Ability to work well either individually or as part of a team • Proficient in Microsoft Excel, Word, Powerpoint More About Company: iMerit (https://imerit.net) delivers data annotation, classification and content moderation outcomes that power AI, Machine Learning and data operation strategies of some of the leading AI organizations in the world. Our work encompasses a clients journey from exploratory R&D to proof of concept to mission-critical, production-ready solutions. We leverage advanced tools, machine learning algorithms and workflow best practices to enrich, annotate and label large volumes of unstructured data and unlock hidden value. In our human powered computing model, technology solves for throughput, while our managed workforce teams (across delivery centers in India, Bhutan and the US) solve for accuracy through their deep expertise in Computer Vision, Natural Language Processing and Content Services, and across verticals such as Autonomous Vehicles, Medical AI, Finance, Geospatial technologies and many more. iMerit also creates inclusive and diverse employment in the digital IT sector - around 80% of our workforce are sourced from various impact communities and >50% are women.

Job Title: Generative AI Analyst Responsibilities: Large Language Model Data Evaluation & Narrations: Execute data evaluation, narration, and labeling tasks according to client requirements and guidelines with precision and attention to detail for AI model training Language Proficiency: Demonstrate a high level of English language proficiency (C1 level or above) in both written and verbal communication. C1 TOEFL or ielts CERTIFICATION OR Equivalent Adherence to Guidelines : Follow client-specific instructions and guidelines meticulously to produce consistently accurate annotations. Quality Assurance: Perform quality checks on annotated data to maintain high standards of accuracy and completeness. Communication: Collaborate effectively with team members and project managers to address queries and ensure smooth workflow. Feedback Integration: Actively participate in feedback sessions and incorporate constructive feedback into your work to improve annotation quality. Requirements: Language Skills: Proficiency in English at a C1 level or higher, both written and verbal. Attention to Detail: Strong attention to detail and ability to follow guidelines accurately. Adaptability: Ability to adapt to changing project requirements and priorities. Team Collaboration: Strong team collaboration and communication skills. Tech Savvy: Comfortable working with annotation tools and technology platforms.. Generative AI Understanding: Familiarity with generative AI concepts and a keen interest in contributing to the advancement of language generation technologies. Autonomous vehicle: (Good to have skills) Understanding of perception and prediction labeling work in AV domain is a plus.

Job Title: Market Research Lead Location: Remote Reporting To: Director, Demand Generation About the Role: The Marketing Research Lead will play a crucial role in supporting iMerits global marketing and sales organization by supporting diverse marketing initiatives by identifying right target accounts, contacts and use cases specific to these accounts. This role will enable our sales and marketing functions to enhance marketing effectiveness, improve lead generation, and provide actionable insights to support sales pipeline development. Responsibilities Lead Generation: 1)Research industries and companies to identify product-market fit and revenue scaling opportunities. KPI: Number of new opportunities identified per month. 2) Identify key contacts within target companies using specific personas and titles for outbound marketing and sales. KPI: Number of key contacts identified and added to the CRM per week. 3) Identify use cases in each account which helps in personalizing the interactions Market Research: 1) Conduct competitor analysis to understand offerings and market positioning. KPI: Completion of competitor analysis reports (with actionable insights) on a quarterly basis. 2) Utilize web-based tools for information gathering and data scraping to build potential lead lists. KPI: Number of qualified leads generated via data scraping tools monthly. 3) Look for intent signals to identify the accounts having higher possibility of conversion. KPI: Number of accounts flagged based on intent signals per month. 4) Prioritize the use cases based on performance and inputs from Sales Marketing Support: 1) Collaborate with marketing to ensure accurate lead management tracking and revenue attribution. KPI: Accuracy rate of lead tracking reports (target: 95% accuracy). 2) Track the quality and performance of accounts and contacts and share quarterly report. KPI: Number of actionable insights generated from data analysis per quarter. 3) Provide valuable information on contacts and companies to assist the sales team. KPI: Average feedback score from the sales team on the quality of information provided (on a scale of 1-10) with target > 7 4) Understanding of marketing campaigns (email, outbound) for the contacts and accounts mined and some part of execution using marketing tools. KPI: Number of campaigns where contact insights were used and the conversion rate of those campaigns. Working Approach 1) Work on alternating Saturdays from home or occasionally in the office. 2) Travel when needed (at least once in a quarter) 3) Adaptable hours to connect with global teams. 4) Proven ability to thrive in a self-starting environment. 5) Comfortable working with data and attention to detail. 6) Strong organization and time management skills. To be Successful 1) Be Proactive: Take action to find new opportunities 2) Be Curious: Demonstrate a desire to learn about industry trends and technology. 3) Be Insightful: Identify growth opportunities for iMerit in new markets or industries. 4) Detail-Oriented: Ensure accuracy in reporting and thoroughness in all work. 5) Problem Solver: Understand client/stakeholder needs and present solutions effectively. 6) Insight Focused: Analyze performance and suggest improvements. Qualifications 1) 3-5 years of relevant experience in research, lead generation, or revenue operations 2) Minimum of 3 years in a multinational company and working with global stakeholders and teams. 3) Bachelors Degree in Engineering, Data Analytics, Business Administration, or a related field. 4) Prior experience in database tools like zoominfo, SalesNavigator, Apollo, or Lusha 5) Experience in data analysis and reporting, including dashboard creation. 6) Strong analytical skills and ability to prioritize multiple projects. 7) Demonstrated ability to navigate ambiguity, solve problems and present clear solutions. Preferred Experience 8) Understanding of database and tools to mine the database. 9) Reporting skills on database snapshots and reporting in Salesforce or equivalent tools.

Position: Senior System Support Executive Position Summary The Senior System Support Executive is responsible for delivering technical support to end users across various enterprise applications and systems. This role ensures the resolution of technical issues efficiently and aligns IT services with business objectives. Key Responsibilities • Possess expert-level knowledge of Windows Server environments, including Active Directory, DHCP, DNS, WSUS, and WDS. • Take end-to-end ownership of employee technical issues and ensure timely resolution within service level expectations. • Provide real-time support to employees via chat, aiding in troubleshooting, root cause analysis, and issue resolution. • Contribute to Problem Management by identifying recurring incidents and proposing long-term solutions. • Drive continual improvement initiatives within the IT Operations Support function. • Conduct training sessions and prepare user-friendly documentation to enhance end-user self-service. • Create and maintain technical documentation to contribute to the departments knowledge base, promoting effective knowledge sharing. • Collaborate with Network and Systems Engineering teams to provide hands-on support for network and server infrastructure. • Perform scheduled system audits and routine maintenance checks on user systems. • Manage OS patching and maintain vendor relationships for timely support and escalations. • Oversee IT inventory and asset configuration documentation. • Demonstrate the ability to operate both independently and within a team structure. • Develop and document workarounds for unresolved incidents. • Communicate with users to assess and translate technical problems into actionable solutions. • Uphold consistency and reliability in service delivery. • Exhibit strong interpersonal, communication, and time management skills. • Apply effective decision-making and organizational capabilities to manage priorities and incidents. Technical Proficiencies • Hands-on experience with: Gsuite/any email systems, Fortinet Firewall,Switches, Crowdstrike, BitLocker, Ivanti Endpoint Management, AD. Preferred Qualifications • 5–7 years of proven experience in IT Infrastructure support. • A degree in B.E., B.Tech, MCA, MSc-IT, or an equivalent field. • Industry certifications such as CCNA, MCSA, or CompTIA N+ are advantageous. • Strong analytical, verbal, and written communication skills. • Proven troubleshooting capabilities and a methodical problem-solving approach.

Position: Apprentice Years of Experience: Fresher to 1 year of Exp. Minimum Education Requirement: 10+2, Diploma, any Graduate Location: Hubli, Karnataka Position Description: A data annotator has to annotate text, image, video etc. according to client guidelines written in English required for Machine Learning in applications like autonomous vehicles, medical diagnostics etc. Skill requirements Locate, label, tag and categorize various elements in image, video, text data Ability to comprehend paragraphs written in English. Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work Basic usage of Word, Excel etc. Average English communication Good eyesight & ability to sit at desk for prolonged hours Shift Timing: Rotational Shift Starting Salary: 13k per months

Market Research Analyst Location: (Remote) ABOUT THE ROLE As a market research analyst, you will be a key part of the sales pipeline development in building our lead generation process to support marketing and sales for our fast-growing AI data solutions business. Your primary focus will be researching industries and identifying potential accounts and relevant ICP (Ideal Customer Profile) for the sales team RESPONSIBILITIES: Research industries, companies, and their products to identify where iMerit has product-market fit and potential to scale revenue. Use specific personas and titles to identify key contacts within target companies and look up their contact information for outbound marketing and sales. Competitor Analysis, to understand what each competitor is offering and who their clients are to understand the market space better Having a thorough understanding and knowledge of using the web for information gathering and data scraping for list building Using different kinds of tools both free and paid to find relevant emails Find valuable supporting information on each person/company to allow our Sales team to schedule meetings with the right people at the right companies Work cross-functionally with Market Research, Sales, and Marketing teams to ensure campaign success, ask for help when needed and help others when able. Ability to work interculturally across time zones and in a distributed team, occasionally during off hours to support global meetings. TO BE SUCCESSFUL: Be Curious - Youre constantly wanting to learn about the industry, trends, and technology so you have an excellent understanding of where we fit into the market and how we can help our clients Be Insightful - You can creatively connect the dots when you see an opportunity for us to sell into a new market Detail Oriented - You always double and triple-check your spelling before clicking “save” in our CRM to ensure it's perfect. Proactive - You do things that need to be done when you see they need to be done - you don’t wait until someone tells you to do something. Problem Solver - Have a consultative approach, deeply understand client needs/business goals, connect the dots on how iMerit will deliver customized solutions Self-directed learner and hands-on problem solver - You solve unique client problems, and provide research to allow the Sales team to handle and overcome prospect objections verbally and via email QUALIFICATIONS: 2-4 years of relevant experience in secondary and primary research along with lead generation Basic knowledge of Microsoft Office, Google Suite, and Salesforce (or equivalent) Track record of thriving in a self-starting environment leveraging your drive, creativity, and intellect Comfortable working with data and attention to detail Ideal candidate has experience researching market trends, technology, and concepts, in technical fields such as Artificial Intelligence/Machine Learning/Data Science Proven track record of reaching/exceeding work Experience working with an international team Experience working with remote teams or teams in multiple locations Outstanding organization and time management skills Having prior experience of using Zoominfo or Apollo will be beneficial

Required Skill: Qualifications Education: Any graduate degree, with a preference for STEM fields. Experience: Minimum of one year of experience working on annotation/review of LiDar data, preferably in the ADAS/AV domain, with 3 to 6 months of experience in reviewing annotated LiDar data. Experience working on multiple workflows/guidelines simultaneously is a distinct advantage. Language Skills: Proficient in both written and verbal English, with a minimum CEFR B1 level or equivalent. Technical Skills: Familiarity with multiple computer vision annotation tools. Soft Skills: Ability to work collaboratively in a team environment, follow instructions and guidelines effectively, and maintain a high level of accuracy and attention to detail. Flexibility: Willingness to work flexible shifts and adapt to changing project requirements and timelines. Attitude: A self-starter who enjoys a fast-paced and highly dynamic environment.

JD for Application Support Specialist, Kolkata (Metiabruz) location Bachelor's degree or relevant certifications in computer science or information technology. Practical and demonstrable professional experience in a relevant technical field may also be considered in lieu of a degree or certifications. Proven experience in technical support. Strong problem-solving skills with the ability to troubleshoot and resolve application-related issues. Excellent communication skills, both written and verbal, to interact effectively with customers and internal teams. Ability to work collaboratively in a team environment, fostering strong working relationships with colleagues and product teams. Detail-oriented with a commitment to documenting support cases, resolutions, and interactions. Willingness and eagerness to continuously learn and deepen technical expertise in supported applications. Ability to read, write and debug common programming languages, such as Python and JavaScript at a basic to intermediate level. Proficiency working with structured data formats, including but not limited to JSON and CSV, as well as experience with other similar file types. Adaptability and a proactive attitude in staying updated with the latest application features and updates. A passion for process improvement and a willingness to contribute to the enhancement of support processes and procedures. Experience in distilling information down for a non-technical audience.

L & D Specialist- Content/NLP Location -Kolkata EXP- 3-5 yrs in Training Required Skill: • Bachelor's or Master's degree in any field. • Proven experience in natural language processing, machine learning, and data analysis. • Preferred experience with machine learning frameworks. • Excellent communication and presentation skills, with the ability to explain complex concepts in an accessible manner. • Demonstrated ability to develop and deliver effective training programs. • Strong problem-solving skills and the ability to work independently as well as part of a team. • Passion for teaching and mentoring, with a commitment to continuous learning and improvement. Preferred Qualifications: • Experience in industry-specific NLP applications (e.g., healthcare, finance, customer service). • Familiarity with cloud-based NLP services (e.g., AWS, Google Cloud, Azure). • Previous experience in a training or educational role.

Position: Process Trainer - Document Verification Required Skill: Strong understanding of documentation review, eligibility verification, or content moderation processes. • Excellent in English communication, coaching, and presentation skills. • Ability to interpret ambiguous client instructions and translate them into executable steps. • Eye for detail and critical thinking to handle edge cases effectively. • Adaptable to rapidly changing guidelines and tooling requirements. • Familiarity with SLA-based project environments and 24x7 operations is a plus. Location: Saltlake

Position: Senior System Support Executive - Hubli Position Summary The Senior System Support Executive is responsible for delivering technical support to end users across various enterprise applications and systems. This role ensures the resolution of technical issues efficiently and aligns IT services with business objectives. Key Responsibilities • Possess expert-level knowledge of Windows Server environments, including Active Directory, DHCP, DNS, WSUS, and WDS. • Take end-to-end ownership of employee technical issues and ensure timely resolution within service level expectations. • Provide real-time support to employees via chat, aiding in troubleshooting, root cause analysis, and issue resolution. • Contribute to Problem Management by identifying recurring incidents and proposing long-term solutions. • Drive continual improvement initiatives within the IT Operations Support function. • Conduct training sessions and prepare user-friendly documentation to enhance end-user self-service. • Create and maintain technical documentation to contribute to the departments knowledge base, promoting effective knowledge sharing. • Collaborate with Network and Systems Engineering teams to provide hands-on support for network and server infrastructure. • Perform scheduled system audits and routine maintenance checks on user systems. • Manage OS patching and maintain vendor relationships for timely support and escalations. • Oversee IT inventory and asset configuration documentation. • Demonstrate the ability to operate both independently and within a team structure. • Develop and document workarounds for unresolved incidents. • Communicate with users to assess and translate technical problems into actionable solutions. • Uphold consistency and reliability in service delivery. • Exhibit strong interpersonal, communication, and time management skills. • Apply effective decision-making and organizational capabilities to manage priorities and incidents. Technical Proficiencies • Hands-on experience with: Gsuite/any email systems, Fortinet Firewall,Switches, Crowdstrike, BitLocker, Ivanti Endpoint Management, AD. Preferred Qualifications • 57 years of proven experience in IT Infrastructure support. • A degree in B.E., B.Tech, MCA, MSc-IT, or an equivalent field. • Industry certifications such as CCNA, MCSA, or CompTIA N+ are advantageous. • Strong analytical, verbal, and written communication skills. • Proven troubleshooting capabilities and a methodical problem-solving approach.

Position: TL Required Skill: Project & Delivery Management: • Plan, track, and deliver mapping projects as per client requirements and defined SLAs • Develop and manage detailed workflow schedules and staffing plans across annotation, review, and QA layers • Ensure adherence to SOPs, QA processes, and tool usage guidelines • Own project metrics including accuracy, productivity, throughput, utilization, and turnaround times Team Leadership: • Manage day-to-day performance of team leads, annotators, and reviewers • Conduct regular stand-ups, performance reviews, and feedback loops • Support training coordination for new workflows and skill upgrades • Identify and mentor high-potential team members for lateral mobility Client & Stakeholder Coordination: • Serve as primary point of contact for client delivery managers on assigned workflows • Coordinate periodic reviews, sample audits, and feedback incorporation • Escalate risks, deviations, or blockers proactively with mitigation plans

L&D Specialist / Process Trainer Location: Salt Lake, Kolkata, India Qualifications: Bachelors or Masters degree in Science, Commerce, Humanities, Computer Science, or related fields 5+ years of industry experience with at least 2–3 years in L&D or training roles in IT- enabled environments Exposure to cross-cultural or overseas client projects Certifications in L&D, Instructional Design, IT, or relevant domains are a plus About iMerit: iMerit delivers high-quality data annotation and content services that power advanced AI and Machine Learning solutions for global clients. With a diverse and inclusive workforce, iMerit operates across delivery centers in India, Bhutan, and the US. The company works across domains like Autonomous Mobility, Medical AI, Finance, Geospatial Technology, and more. Role Summary: We are hiring a dedicated LiDAR Trainer (L&D Specialist) to join our Learning & Development team at iMerit. As a LiDAR Trainer, you will play a vital role in shaping the technical capabilities of our delivery teams by imparting deep knowledge of LiDAR annotation workflows, client-specific tools, and project guidelines. You will be responsible for designing and delivering effective training programs focused on 2D/3D data labeling, cuboid and polyline annotation, multi-sensor fusion, and LiDAR segmentation. Your responsibilities will include: Preparing and conducting structured training sessions for new hires and existing team members. Developing training materials, assessments, and hands-on modules based on project requirements and evolving client standards. Analyzing learner progress and production data to identify knowledge gaps and implement targeted upskilling. Providing on-floor support during live production and ensuring seamless knowledge transition. Driving continuous learning initiatives to align with quality and productivity goals, directly impacting successful project delivery. This role is critical to enabling high-quality, high-accuracy data labeling, which powers the training of cutting-edge AI and autonomous systems. We’re looking for someone with strong LiDAR annotation expertise, a passion for teaching, and the ability to adapt training approaches to meet diverse learner needs. Key Responsibilities: Client Instruction & Gap Analysis: Analyze complex client instructions and convert them into effective learning points. Identify instruction gaps, edge cases, and clarification needs. Collaborate with clients and internal stakeholders to resolve ambiguities. Training Design & Delivery: Develop structured training plans, PPTs/manuals, and teaching aids. Deliver engaging virtual or classroom sessions across projects/domains. Facilitate cross-functional and refresher training as required. Assessment & Evaluation: Design pre/post assessments to measure knowledge and process understanding. Analyze learner performance and production quality to identify retraining needs. Monitor the effectiveness of training via feedback and performance improvements. Production & Floor Support: Resolve queries related to tools or client processes during live production. Escalate issues to subject experts as needed. Provide timely support for pilots/POCs and new project onboarding. Data Management & Reporting: Organize and verify data sources, transcriptions, and annotations. Handle exceptions and errors in the production environment effectively. Maintain MIS reports and communicate progress/delays with stakeholders. L&D Operations & Best Practices: Adhere to organizational SOPs, data security, and confidentiality policies. Utilize IT tools and learning platforms effectively for content creation and training delivery. Maintain cleanliness, professionalism, and time/resource efficiency. Skills & Competencies: Excellent communication, facilitation, and presentation skills Strong analytical thinking and problem-solving ability High attention to detail and process adherence Comfort with using tech tools, platforms, and productivity software (MS Word, Excel, PowerPoint) Effective time management, multitasking, and organizational skills Positive attitude and professional work ethic

Designation: Manager Projects(Medical Transcription/Scribe) Role • Full-time position as a Project Manager for medical data projects, including working with different medical data types to produce datasets for machine learning purposes. Responsibilities • Ensure that all projects are delivered on-time, within scope and within budget • Coordinate internal resources and third parties/vendors for the flawless execution of projects • Develop a detailed project plan to track progress • Report and escalate to management as needed • Manage the relationship with the client and all stakeholders • Perform risk management to minimize project liabilities • Create and maintain comprehensive project documentation Experience/Education • Minimum 15 to 18 years of experience in scribing/transcription/coding experience in Medical documentation. • Experience in Medical transcription proof reading and scribing • Experience in reviewing the summary of the physician-patient encounter and clinical content of the conversation captured by the team members. • Experience in multiple specialty documentation. • Knowledge of medical terminology, AHDI guidelines and procedures. • Understanding of Patient history and diagnosis, prescription writing, medical abbreviations. • Clinical education or training is considered a plus (e.g. Pharmacy, Nursing, Medicine. Medical transcription or scribing certification) Skills • Strong ability to understand the medical concepts • Good listening and comprehension skills of medical audio recordings. • Excellent English reading comprehension & communication skills. • Computer Literacy • Passion for improving lives through healthcare & a great work ethic. • Flexible to work night shifts. Benefits: • Strong Compensation • Exposure to working with innovative companies in healthcare & AI • Growth and Leadership Opportunities • Collaborative, International teamwork