Are you a detail-oriented finance professional with a keen eye for accuracy? Join our team to review and refine Q&A content derived from 10-K filings. Project Details: Duration: Approximately 1015 days Start Date: Immediate Location: Remote Responsibilities: Verify page numbers and cited references (e.g., tables, charts, graphs) against original 10-K documents. Ensure all references are accurately labeled and formatted per predefined standards. Identify and correct formatting issues within answer texts and stepwise explanations. Candidate Requirements: Master’s degree in Finance (M.Com, MBA in Finance preferred). Strong command of written English. High attention to detail and accuracy. Proficiency with tools like Microsoft Excel, Google Sheets, and PDF viewers. Immediate availability. If you have a passion for financial accuracy and are ready to contribute to a dynamic project, we'd love to hear from you. Interested candidates, please fill out the application form: https://lnkd.in/dhwWH3rK
At Shaip, we're pushing the boundaries of AI innovation through world-class data solutions. We're seeking a highly qualified Computational Linguist (Ph.D. level) with 2-3 years of industry experience to lead transformative projects in ASR model development and LLM fine-tuning. What Youll Do: • Lead dataset creation for cutting-edge ASR and LLM systems, ensuring data diversity and alignment with AI model objectives. • Own project lifecycles end-to-end — from planning and execution to delivery — working cross-functionally with internal teams and external clients. • Interface with clients to understand requirements, provide status updates, and exceed expectations with high-quality deliverables. • Uphold quality standards through robust QA processes, ensuring data accuracy, consistency, and completeness. • Mentor and manage teams of linguists and annotators, driving collaboration and innovation. • Provide technical expertise in preprocessing, annotation, and model evaluation to steer AI model optimization. What You Bring: • Ph.D. in Computational Linguistics or Linguistics • 2–3 years of experience managing data-driven projects for ASR or LLMs • Deep technical fluency in model architectures, data curation, and QA methodologies • Strong project and team management skills with proven delivery track record • Excellent client communication skills and a passion for building diverse, representative datasets Bonus Points: • Published research in AI or computational linguistics • Familiarity with annotation tools and transcription software • Commitment to ethical AI practices, including bias mitigation
We are seeking a skilled and proactive Zoho CRM Developer to join our team as we transition from Salesforce to Zoho CRM. The ideal candidate will have hands-on experience in customizing, integrating, and optimizing Zoho CRM for business process automation and improved user experience. Experience with Salesforce CRM is considered an added advantage, as it will support a smooth migration and help align the new system with existing workflows. Key Responsibilities Lead the end-to-end migration from Salesforce to Zoho CRM, ensuring data integrity and minimal disruption to business operations. Customize and configure Zoho CRM modules, layouts, workflows, and automation to match evolving business needs. Design and implement automated workflows, blueprints, and business processes using Zoho applications. Integrate Zoho CRM with third-party tools, internal systems, and external platforms via APIs, webhooks, and custom functions. Conduct data migration and validation tasks, ensuring clean data transition from SFDC to Zoho. Provide training, onboarding, and support to end users and stakeholders throughout the transition phase. Develop custom reports, dashboards, and analytics to enable data-driven decision-making. Ensure compliance with data security policies and industry standards throughout the Zoho ecosystem. Proactively identify and resolve performance issues, bugs, and system inefficiencies. Stay current with Zoho updates, best practices, and new feature rollouts to continually enhance the CRM platform. Required Skills Qualifications Minimum 2 years of hands-on experience with Zoho CRM development and customization. Proficiency in Deluge scripting, Zoho Creator, Zoho Flow, and Zoho API integrations. Experience in data migration projects, preferably from Salesforce to Zoho. Familiarity with Salesforce CRM (Sales Cloud, custom objects, workflows, etc.) is a plus. Strong understanding of third-party integrations and RESTful APIs. Working knowledge of JavaScript, HTML, and CSS (preferred but not mandatory). Strong analytical, problem-solving, and debugging skills. Excellent verbal and written communication skills; ability to work collaboratively with cross-functional teams. Self-starter with the ability to manage multiple priorities in a fast-paced environment.
The Executive - US Accounts is a key member of the finance department responsible for overseeing and managing all aspects of the company's US accounts. This role requires a deep understanding of US accounting principles, financial regulations, and tax laws. The Senior Executive will be responsible for maintaining accurate financial records, analyzing financial data, and ensuring compliance with all relevant US accounting standards. Key Responsibilities: Financial Record-Keeping: Maintain accurate and up-to-date financial records for all US accounts, including accounts payable, accounts receivable, and general ledger entries. US GAAP Compliance: Ensure that all financial transactions are recorded and reported in accordance with Generally Accepted Accounting Principles (GAAP) specific to the United States. Taxation and Regulatory Compliance: Stay informed about changes in US tax laws and regulations and ensure the company's compliance with all relevant tax requirements, including payroll taxes, sales taxes, and corporate taxes. Financial Reporting: Prepare and present financial statements, including income statements, balance sheets, and cash flow statements, to the management team and other stakeholders. Budgeting and Forecasting: Collaborate with the finance team to develop budgets and financial forecasts for the US operations and monitor actual performance against the budget. Financial Analysis: Conduct in-depth financial analysis to identify trends, variances, and opportunities for improvement in the company's US operations. Auditing: Facilitate and support external audits as required by US accounting standards and regulatory bodies. Treasury Management: Manage the company's US bank accounts, cash flow, and treasury functions to optimize financial efficiency. Risk Management: Identify and address financial risks and work with the finance team to implement appropriate risk mitigation strategies. Team Collaboration: Collaborate with cross-functional teams, including sales, operations, and legal, to ensure seamless financial operations and compliance. Process Improvement: Continuously review and improve accounting processes and procedures to enhance efficiency and accuracy. Qualifications and Requirements: Bachelor's degree in Accounting, Finance, or a related field. A Master's degree or CPA certification is a plus. Proven experience (typically 5+ years) in accounting or finance roles, with a strong focus on US accounting standards and regulations. Extensive knowledge of US GAAP and tax laws, as well as experience with relevant accounting software and ERP systems. Excellent analytical and problem-solving skills, with a keen eye for detail. Strong communication and interpersonal skills to effectively collaborate with various stakeholders
Role Summary As a Business Analyst, you will be the liaison between the Product Management team and the Engineering team. You will be responsible for translating product strategy into actionable user stories, ensuring that product features are delivered on time and meeting business and quality expectations. Key Responsibilities Manage and prioritize product and release backlogs in alignment with the product roadmap. Translate high-level product strategies into detailed, actionable user stories and acceptance criteria. Identify dependencies and risks, proactively addressing them to ensure smooth delivery. Act as a liaison between product managers and agile development teams to ensure shared understanding and clarity. Participate actively in Agile ceremonies (Sprint Planning, Grooming, Standups, Reviews, Retrospectives, etc.) Evaluate sprint progress and help refine processes for improved delivery and team collaboration. Assist in maintaining and evolving the product roadmap in partnership with Product Management. Understand the U.S. healthcare Risk Adjustment landscape and integrate domain knowledge into product decisions. Qualifications Bachelors or Master’s degree in Engineering, Healthcare, or a related field. Minimum of 3 years experience as a Business Analyst or Product Owner in SaaS, platform, or API-based products. Exposure to the U.S. healthcare industry is a strong plus. Certified Scrum Product Owner (CSPO) certification preferred. Core Competencies Strong analytical and critical thinking skills Excellent communication and interpersonal skills Curiosity and a continuous learning mindset Logical and structured problem-solving approach Attention to detail and a high sense of ownership Creativity, adaptability, and resilience Technical aptitude and comfort working with engineering teams
Job Description for Backend Engineers (BE) Role: We are seeking a highly-skilled, experienced Java developer to join our expanding Information Technology team. In this role, you will help develop and design technology solutions that are scalable, relevant, and critical to our companys success. Mandatory/ Must have Skill sets: 1 to 2 years of relevant work experience & sound technical knowledge in the following: Java, Spring framework, JUnit, AWS, Hibernate, SpringBoot, Microservices, OOPs concept Significant experience working with SQL Good analytical & problem solving skill Familiarity with Generative AI tools like GitHub Copilot, CodeWhisperer, or Curser to assist in faster and accurate code generation Good to Have: Familiarity with Github Familiarity with Agile Knowledge of prompt engineering for AI-assisted development Familiarity with Gen AI APIs (e.g., OpenAI, AWS Bedrock) to prototype or enhance backend logic, API generation, or PoCs Responsibility: Help design and implement scalable, lasting technology solutions Review current systems, suggesting updates as needed Resolve reported issues and reply to queries in a timely manner Develop and utilize technical change documentation Strive to deploy all products and updates on time Help improve code quality by implementing recommended best practices Remain up to date on all current best practices, trends, and industry developments Maintain a high standard of work quality and encourage others to do the same Help junior team members grow and develop their skills Identify potential challenges and bottlenecks in order to address them proactively Annual Compensation would be best as per Industry standards. Perks and Benefits: 5 Days Working Continuous Learning & Development Workplace Diversity Equality, Inclusive & highly performance driven Culture Career pathing & Growth Embrace People Xcellence (Reward, care, reinforce workplace health & happiness) Our core values - Foundation to Success Trust, Passion to win, Freedom to Act & for one another is the foundation of our corporate culture. For more Information:- www.raapidinc.com
Title: QA Engineer Role: The QA Engineer is responsible for ensuring the quality and reliability of software products through the design, implementation, and execution of manual and automated test cases. This role involves close collaboration with developers, product managers, and other stakeholders to identify bugs, verify fixes, and ensure software meets functional and performance requirements. The QA Engineer plays a key role in maintaining product standards, improving test processes, and contributing to continuous delivery and integration efforts. Responsibility: Job Specification Educational Qualification: BE/B.TECH or Masters in Computer Science Years of Experience: 3+ Years Must Have skills: Automation,Selenium, Webdriver, Manual, API Testing, Postman Preferred Skill sets: Meeting with the software design team to discuss verification protocols. Identifying software application weaknesses and target areas. Sketching out ideas for automated software test procedures. Reviewing software bug reports and highlighting problem areas. Writing automation scripts and implementing software applications. Designing and installing software databases. Troubleshooting automation software and finalizing system procedures. Identifying quality issues and creating test reports. Collaborating with the design team to solve application faults. QA Automation Engineer Requirements: Previous experience working as a QA automation engineer. Advanced programming skills including automation systems and databases. Familiarity with programming script languages including Java and VBScript. Excellent analytical skills. Detailed knowledge of application functions, bug fixing, and testing protocols. Good written and verbal communication skills. Strong attention to detail. Good project management skills
Job Summary Shaip.ai is seeking experienced linguistics professionals who bring a blend of deep linguistic expertise and team management capabilities. As a Manager, you will play a pivotal role in supporting our LLM, ASR, and TTS models, and managing linguistic teams working across multilingual AI data projects. You will work closely with machine learning engineers, data sourcing teams, and project stakeholders to ensure linguistic quality and on-time delivery of high-quality annotated language datasets. Key Responsibilities Linguistic Expertise & Support • Collaborate with ML engineers to understand project goals, data specifications, and linguistic requirements. • Embed linguistic rules into model architecture and data processing workflows. • Design, document, and review annotation guidelines for linguistic, speech, and conversational AI projects. • Conduct linguistic evaluations and provide detailed feedback to improve model performance and output quality. Team & Project Management • Partner with the data sourcing and project teams to define and align on delivery timelines and milestones. • Set up efficient data workflowsfrom raw data intake to final annotation delivery. • Source, on board, and manage team of linguists across multiple languages and regions. • Allocate tasks, track productivity, maintain annotation quality, and ensure delivery SLAs are met. Required Qualifications • Masters or PhD in Linguistics, Computational Linguistics, or a closely related field. • Minimum 2 years of hands-on experience working in NLP, GenAI, or speech data projects. • Proven experience in designing annotation workflows and linguistic guideline creation. • At least 2 years of experience managing teams or coordinating projects. • Experience with low-resource or regional languages is highly desirable. Technical & Core Competencies • Linguistic Analysis: Strong foundation in syntax, morphology, semantics, and phonetics. • Language Proficiency: Fluency in two or more Indian languages (spoken, written, and grammar). • Project Setup: Familiarity with NLP data workflows, annotation tools, and delivery pipelines. • People Management: Experience managing freelancers, task assignments, and quality assurance. • Collaboration: Ability to act as a bridge between linguistic and technical teams. • Problem Solving : Analytical mindset for handling language model and annotation challenges
As a Vendor Manager at Shaip, you will play a crucial role in managing our relationships with external vendors who contribute to our data collection efforts. You will be responsible for ensuring that our vendors meet quality standards, adhere to timelines, and maintain strong communication channels with our internal teams. Responsibilities: 1. Vendor Onboarding: Identify and onboard new vendors to expand our network and capabilities in data collection. 2. Contract Negotiation: Negotiate contracts and service level agreements (SLAs) with vendors to ensure alignment with company objectives and standards. 3. Performance Monitoring: Monitor vendor performance against predefined metrics, such as data accuracy, timeliness, and compliance with regulations. 4. Issue Resolution: Address any issues or concerns raised by vendors in a timely and efficient manner, working closely with internal stakeholders to find solutions. 5. Relationship Building: Cultivate strong relationships with key vendor contacts to foster collaboration and drive continuous improvement. 6. Quality Assurance: Conduct regular audits and quality checks to ensure that vendor outputs meet our quality standards and regulatory requirements. 7. Risk Management: Identify and mitigate potential risks associated with vendor relationships, proactively implementing measures to minimize disruption to operations. 8. Data Security: Ensure that vendors adhere to data security protocols and compliance standards to protect sensitive information. 9. Cost Management: Work with vendors to optimize costs while maintaining quality standards, seeking opportunities for cost savings and efficiency improvements. 10. Reporting: Generate regular reports on vendor performance, highlighting key metrics and areas for improvement to inform decision-making processes. Qualifications: Bachelor's degree in business administration, supply chain management, or a related field. Proven experience in vendor management, preferably in the data collection or market research industry. Strong negotiation and contract management skills. Excellent communication and interpersonal abilities. Analytical mindset with the ability to assess vendor performance and identify areas for improvement. Knowledge of data privacy regulations and compliance requirements. Ability to work independently and collaborate effectively with cross-functional teams.
Job Title: Annotation Lead Location: Ahmedabad, Gujarat Experience Required: 5+ years in data annotation (minimum 3 years with LiDAR), 3+ years in team management Job Summary: We are looking for an experienced Annotation Lead with a strong background in data annotation, team leadership, and LiDAR data processing . The ideal candidate will be responsible for managing annotation projects, ensuring data quality, adhering to project timelines, and guiding a team of annotators to deliver accurate and high-quality annotated datasets for machine learning and AI application. Key Responsibilities: Annotation and Labelling Oversee and participate in accurate annotation and labeling of various data types including images, LiDAR point clouds, text, and audio . Ensure precise tagging and classification as per detailed project guidelines. LiDAR Expertise Apply in-depth knowledge of LiDAR data to annotate 2D/3D objects, semantic segmentation, and spatial relationships. Maintain up-to-date understanding of LiDAR tools, techniques, and best practices. Team Leadership Manage and mentor a team of annotators, setting performance benchmarks and conducting regular reviews. Allocate tasks, monitor progress, and ensure adherence to quality and productivity standards. Train new team members on tools, guidelines, and processes. Quality Assurance Review and audit annotations to ensure consistency and accuracy. Identify errors, provide constructive feedback, and implement corrective actions. Establish and refine QA workflows and checklists. Process Adherence Ensure compliance with annotation guidelines and standards. Communicate updates or clarifications in instructions to the team efficiently. Project Management Track project progress and ensure timely delivery of milestones. Collaborate with Project Managers and QA teams to meet business objectives. Communication & Reporting Maintain effective internal communication and documentation. Share weekly reports on team productivity, quality metrics, and project status. Tool & Technology Usage Utilize annotation tools (such as Labelbox, CVAT, Supervisely, or similar) and LiDAR platforms proficiently. Provide input on tool enhancements or process improvements. Adaptability & Learning Stay updated with emerging trends in annotation, labeling, and LiDAR. Embrace new tools, techniques, or domains as required by the project. Confidentiality Ensure strict data privacy and confidentiality compliance, especially when dealing with proprietary or sensitive datasets. POC & Presales Costing Conduct time & motion analysis to estimate annotation effort, throughput, and resource allocation for accurate project scoping. Collaborate with presales teams to prepare cost models and delivery plans aligned with client expectations and use case complexity. Lead successful POC executions by setting up workflows, quality benchmarks, and delivering sample outputs to convert leads into long-term projects. •Required Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Minimum 5 years of annotation experience, with at least 3 years in LiDAR annotation . Proven experience managing annotation teams (minimum 3 years). Excellent English Communication Skill written & verbal Experience of client and vendor communication Strong attention to detail and analytical skills. Familiarity with annotation tools and platforms. Excellent communication and leadership skills.
Job Title: Project Manager AI & ML Data Projects Experience: 2 to 4 Years Industry: Artificial Intelligence, Machine Learning, Data Annotation About the Role: We are seeking a dynamic and driven Project Manager with a strong background in the AI and Machine Learning (ML) industry. The ideal candidate will have prior experience managing AI data collection and annotation projects , understand the unique challenges of such programs, and thrive in a fast-paced, execution-focused environment. This is a Onsite role requiring a combination of strategic planning and hands-on execution. If you are a go-getter with the right attitude and enjoy working on impactful projects in the AI/ML space, wed love to hear from you. Key Responsibilities: Lead end-to-end project planning and execution for AI data collection and annotation programs. Coordinate with cross-functional teams including data scientists, annotators, quality analysts, vendors, and product managers. Manage timelines, deliverables, quality, and stakeholder communication across multiple concurrent projects. Work with internal teams and clients to define project scope, objectives, and success metrics. Proactively identify project risks and roadblocks and implement mitigation strategies. Prepare regular status reports, dashboards, and client updates. Use generative AI tools (e.g., ChatGPT, Claude, Bard) to improve productivity and reporting. Ensure projects align with client expectations, SLAs, and compliance requirements. Serve as an individual contributor when needed to move fast and ensure project momentum. Required Skills & Experience: 24 years of project management experience, preferably in AI/ML, data annotation, or data ops companies. Hands-on exposure to AI data lifecycle – collection, cleansing, annotation, and QA. Experience managing global teams and/or external vendors is a plus. Familiarity with generative AI tools and how they can enhance team productivity. Excellent communication, organization, and stakeholder management skills. High ownership mindset with a go-getter attitude and ability to work independently. Preferred Qualifications: Bachelor’s or Master’s degree in Engineering, Computer Science, Business, or related field. Certification in Project Management (PMP, CSM, or equivalent) is a plus. Passion for AI and innovation, with a desire to work in mission-driven environments.
Role Overview: We are seeking a dynamic and proactive Sourcing Specialist (Vendors and Crowd) to join our AI Team. In this role, you will be responsible for identifying, engaging, and delivering top talent for our global hiring needs. This position requires a hands-on expert in international sourcing, a strong communicator, and someone who thrives in a fast-paced, ever-evolving environment. Key Responsibilities: Proactively source and engage candidates using diverse channels including international job portals, social media (Facebook, Twitter, LinkedIn), referrals, internal databases, career pages, and on-ground efforts. Signing MOU with universities and colleges. Manage the end-to-end staffing lifecycle: sourcing, screening, coordinating interviews, offer negotiation, and onboarding. Build and maintain a pipeline of high-quality candidates for ongoing and future hiring needs. Collaborate with hiring managers and stakeholders to understand hiring demands and role requirements. Develop and maintain strong vendor relationships to supplement sourcing and hiring efforts. Generate and maintain regular reports on sourcing effectiveness, pipeline status, and hiring metrics. Stay updated on market trends, competitor hiring practices, and sourcing strategies. Work cross-functionally with internal teams to streamline and optimize talent acquisition processes. Troubleshoot and escalate staffing issues or challenges to senior management as needed. Participate in job fairs, hiring events, and other networking opportunities. Source from global geographies. Should be aware various platforms: Upwork, Fiverr, freelancers.com, Handshake etc Requirements: 3 to 6 years of proven experience in talent sourcing or talent acquisition, preferably in a AI/ML-based organization. Strong experience in international sourcing and hiring. Excellent sourcing techniques across multiple platforms and ATS systems. Strong communication and interpersonal skills. Analytical mindset with the ability to generate actionable sourcing reports. Comfortable working in a dynamic and globally distributed team. Nice to Have: Experience working in a high-growth startup environment. Knowledge of talent acquisition tools.
Job Title: Project Management Trainee Employment Type: Full-time About the Role: As a Project Management Trainee, you will work closely with project managers and cross-functional teams to support the planning, execution, and delivery of AI/ML data projects. This is an exciting opportunity for fresh MBA graduates to gain hands-on experience in project coordination, client communication, and team management. Key Responsibilities: Assist project managers in day-to-day operations and project tracking Coordinate with internal teams to ensure timely project deliverables Prepare project reports, documentation, and status updates Maintain communication with stakeholders to understand requirements and relay updates Monitor project timelines and escalate delays or risks if necessary Contribute to process improvements and knowledge management Requirements: MBA in any specialization (Preferred Operations and Marketing) Strong communication and interpersonal skills Basic understanding of project management principles Proficiency in MS Office (especially Excel and PowerPoint) Ability to multitask and work in a fast-paced environment Eagerness to learn and grow in a technology-driven environment
Job description At Shaip, we're pushing the boundaries of AI innovation through world-class data solutions. We're seeking a highly qualified Computational Linguist with 2-3 years of industry experience to lead transformative projects in ASR model development and LLM fine-tuning. What Youll Do: Lead dataset creation for cutting-edge ASR and LLM systems, ensuring data diversity and alignment with AI model objectives. Own project lifecycles end-to-end — from planning and execution to delivery — working cross-functionally with internal teams and external clients. Interface with clients to understand requirements, provide status updates, and exceed expectations with high-quality deliverables. Uphold quality standards through robust QA processes, ensuring data accuracy, consistency, and completeness. Mentor and manage teams of linguists and annotators, driving collaboration and innovation. Provide technical expertise in pre-processing, annotation, and model evaluation to steer AI model optimization. What You Bring: Computational Linguistics or Linguistics Experience managing data-driven projects for ASR or LLMs Deep technical fluency in model architectures, data curation, and QA methodologies Strong project and team management skills with proven delivery track record Excellent client communication skills and a passion for building diverse, representative datasets. Bonus Points: Published research in AI or computational linguistics Familiarity with annotation tools and transcription software Commitment to ethical AI practices, including bias mitigation
Role & responsibilities Excellent Communication Required
Job Title: Annotation Lead Location: Ahmedabad, Gujarat Experience Required: 6+ years in data annotation (minimum 3 years with LiDAR), 3+ years in team management Job Summary: We are looking for an experienced Annotation Lead with a strong background in data annotation, team leadership, and LiDAR data processing . The ideal candidate will be responsible for managing annotation projects, ensuring data quality, adhering to project timelines, and guiding a team of annotators to deliver accurate and high-quality annotated datasets for machine learning and AI application. Key Responsibilities: Annotation and Labelling Oversee and participate in accurate annotation and labeling of various data types including images, LiDAR point clouds, text, and audio . Ensure precise tagging and classification as per detailed project guidelines. LiDAR Expertise Apply in-depth knowledge of LiDAR data to annotate 2D/3D objects, semantic segmentation, and spatial relationships. Maintain up-to-date understanding of LiDAR tools, techniques, and best practices. Team Leadership Manage and mentor a team of annotators, setting performance benchmarks and conducting regular reviews. Allocate tasks, monitor progress, and ensure adherence to quality and productivity standards. Train new team members on tools, guidelines, and processes. Quality Assurance Review and audit annotations to ensure consistency and accuracy. Identify errors, provide constructive feedback, and implement corrective actions. Establish and refine QA workflows and checklists. Process Adherence Ensure compliance with annotation guidelines and standards. Communicate updates or clarifications in instructions to the team efficiently. Project Management Track project progress and ensure timely delivery of milestones. Collaborate with Project Managers and QA teams to meet business objectives. Communication & Reporting Maintain effective internal communication and documentation. Share weekly reports on team productivity, quality metrics, and project status. Tool & Technology Usage Utilize annotation tools (such as Labelbox, CVAT, Supervisely, or similar) and LiDAR platforms proficiently. Provide input on tool enhancements or process improvements. Adaptability & Learning Stay updated with emerging trends in annotation, labeling, and LiDAR. Embrace new tools, techniques, or domains as required by the project. Confidentiality Ensure strict data privacy and confidentiality compliance, especially when dealing with proprietary or sensitive datasets. POC & Presales Costing Conduct time & motion analysis to estimate annotation effort, throughput, and resource allocation for accurate project scoping. Collaborate with presales teams to prepare cost models and delivery plans aligned with client expectations and use case complexity. Lead successful POC executions by setting up workflows, quality benchmarks, and delivering sample outputs to convert leads into long-term projects. •Required Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Minimum 5 years of annotation experience, with at least 3 years in LiDAR annotation . Proven experience managing annotation teams (minimum 3 years). Excellent English Communication Skill written & verbal Experience of client and vendor communication Strong attention to detail and analytical skills. Familiarity with annotation tools and platforms. Excellent communication and leadership skills.
Role Summary As a Senior Sales, you will spearhead sales efforts across the US, APAC, and European regions. Youll identify, engage, negotiate, and close high-impact deals with global clientsincluding Fortune 500 organizationsand collaborate cross-functionally to exceed revenue targets and drive Shaip's growth in AI data services. Key Responsibilities • Market Expansion & Pipeline Development Drive proactive outreach to prospects and execute strategic account engagement across multiple regions. • Full-Cycle Sales Management From lead generation to deal closure, foster relationships, conduct product demos, and create tailored AI data service solutions. • Client & Partner Engagement Develop trust with enterprise-level clients; articulate Shaip’s value of high-quality, ethically sourced data, human-in-the-loop validation, and technical rigor ShaipBusiness Connect India. • Cross-functional Collaboration Liaise with operations, project management, and technical teams to ensure seamless delivery and client satisfaction. • Achieve Sales Targets & Forecasting Meet and surpass monthly/quarterly targets, provide sales forecasts and market feedback. • Market Insights & Competitive Positioning Analyze region-specific AI data market landscapes, monitor competition, and contribute to revenue strategies. Required Qualifications & Skills • Experience: Minimum 5 years in enterprise sales—B2B technology, AI/data services, or SaaS. • Regional Expertise: Demonstrated success in the US, APAC, and/or European markets. • Communication & Negotiation: Strong verbal and written communication; adept at complex, consultative selling. • Technical Fluency: Understanding of AI/ML use-cases—healthcare AI, conversational AI, computer vision, and/or generative AI. • CRM & Tools: Skilled in CRM usage, sales analytics, and pipeline management. • Remote Collaboration: Proven record of success in remote work environments, across time zones, and with global teams. Preferred (Nice-to-Have) • Prior exposure to AI training data/data annotation services. • Experience with human-in-the-loop solutions and large-scale data projects. • Knowledge of compliance & privacy standards (HIPAA, SOC2, ISO frameworks)
Job Title: Presales Executive / Presales Specialist Location: Ahmedabad, India Company: Shaip.ai Data India LLP Department: Sales & Business Development Employment Type: Full-Time | Work from Office About Shaip Shaip.ai Data India LLP is a leading provider of AI training data solutions, specializing in data collection, annotation, transcription, and labeling for AI/ML models. We help global enterprises and technology companies build, train, and improve AI systems with high-quality, ethically sourced datasets. Role Overview We are seeking a dynamic Presales Executive who will play a key role in supporting our sales team by preparing customized solutions, proposals, and presentations for prospective clients. The ideal candidate will bridge the gap between client requirements and our technical/data capabilities, ensuring that Shaips solutions are positioned effectively to win new business. Key Responsibilities Collaborate with the sales team to understand client requirements and industry verticals. Design and present tailored AI data solutions (collection, annotation, transcription, labeling). Prepare detailed proposals, RFP responses, and client-facing presentations. Work closely with project and delivery teams to define scope, timelines, and cost estimates. Conduct product demonstrations and proof-of-concepts when required. Maintain a deep understanding of Shaips offerings, industry trends, and competitive landscape. Support sales in lead qualification and early-stage client discussions. Maintain accurate records of presales activities in CRM tools. Qualifications & Skills Bachelors degree in Engineering, Computer Science, Business, or related field (MBA preferred). Relevant experience in presales, business analysis, or solution consulting (preferably in AI/ML data services, IT services, or SaaS). Strong understanding of AI/ML concepts and data lifecycle is a plus. Excellent written & verbal communication skills with ability to create compelling client deliverables. Strong presentation skills with proficiency in MS PowerPoint, Excel, and Word. Ability to work collaboratively with cross-functional teams under tight timelines. Analytical mindset with attention to detail.