1283 Annotation Jobs - Page 46

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Job Description Onsite work opportunity. Overview Of The Role The Project Lead in the Contract Management Department oversees the quality and efficiency of contract management processes. This role includes managing the projects, ensuring compliance with service level agreements (SLAs), and upholding high-quality control standards. The Project Lead serves as a mentor and expert, guiding team members and providing feedback to improve their performance. Key responsibilities involve maintaining the quality of the project by conducting regular quality checks and making sure the guidelines approved by the client are adhered to, Query resolutions, tracking team metrics, creating reports for all the projects, and finalizing documents before they are sent to clients. The Project Lead works closely with the team to answer questions, provide guidance, and update client guidelines, ensuring all contractual obligations are met. In summary, the Project Team is essential to the success of the Contract Management Department by promoting quality, mentorship, and collaboration, which enhances the organization’s efficiency in contract management. Department Function: Contract Management Department The Contract Management Department manages the lifecycle of contracts with a team of trained lawyers experienced in Contract Lifecycle Management (CLM) tools. The department focuses on key areas like contract abstraction, Annotation, summarization, obligation management, and other contract management processes. Responsibilities Report and maintain project metrics to track performance and quality Perform quality control (QC) and quality assurance (QA) checks on projects Conduct high-level audits on QC’d documents to validate quality Provide feedback to reviewers and QC’ers Act as a mentor and role model for team members involved in the projects Review and finalize deliverables before sending them to clients Serve as a subject matter expert on various projects Draft and resolve client and team queries Support end-to-end QA processes and lead project training Assist Team Leads and Managers with QC strategy and reporting Ensure adherence to company standard operating procedures on projects Use checklist standards and adhere to quality protocols closely Help in updating and modifying guidelines for clients Qualifications 5-7 years’ experience Minimum LLB or BL (Bachelor of Laws) A minimum of 5-7 years’ experience in Contract Management with at least 2 to 4 years of experience in leading projects/managing projects Experience working on CLM tools like Ironclad, Contract Works, Conga, Icertis, Onit etc. LLM (Master of Laws) is an added advantage Relevant certifications in contract management or quality assurance are a plus Additional Optional Qualifications: Certifications on the Contract Lifecycle Management (CLM) tools (e.g., Ironclad, Contract Works, Conga, Icertis, Onit) Skills Ability to mentor and guide team members. Strong decision-making and problem-solving skills. Proficiency in performing quality checks and audits on documents. Attention to detail to ensure high-quality deliverables. Excellent verbal and written communication skills for effective interaction with team members and clients. Ability to draft clear and concise queries and reports. Strong organizational skills to manage multiple projects and deadlines. Ability to track and report team metrics effectively. Experience with Contract Lifecycle Management (CLM) tools (e.g., Ironclad, Contract Works, Conga, Icertis, Onit). Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Visio, Outlook). Strong ability to build relationships and work collaboratively with team members and stakeholders. Why You will Love Working for KLD At KLD we invest in employees and their families by placing their wellbeing first. We offer competitive total compensation that includes base pay, bonus opportunity, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. India compensation is based upon the local competitive market. Paid time off, that offers various time off options to help employees maintain a work-life balance, such as Casual, Earned, Sick, Special Leave, and Holidays! Ongoing learning and development, a focus on continuous professional development through various training and education reimbursement programs. A diverse and inclusive workplace where we all learn, grow, and achieve the greatest heights…together. A surrounding team of mission-driven individuals who genuinely love what they do. Free, fun, interactive and incentivized global wellness program that promotes the wellbeing of our employees. Our Cultural Values Entrepreneurs At Heart, We Are a Customer First Team Sharing One Goal And One Vision. We Seek Team Members Who Are Humble - No one is above another; we all work together to meet our clients’ needs and we acknowledge our own weaknesses Hungry - We all are driven internally to be successful and to continually expand our contribution and impact Smart - We use emotional intelligence when working with one another and with clients Our culture shapes our actions, our products, and the relationships we forge with our customers. Who We Are KLDiscovery provides technology-enabled services and software to help law firms, corporations, government agencies and consumers solve complex data challenges. The company, with offices in 26 locations across 17 countries, is a global leader in delivering best-in-class eDiscovery, information governance and data recovery solutions to support the litigation, regulatory compliance, internal investigation and data recovery and management needs of our clients. Serving clients for over 30 years, KLDiscovery offers data collection and forensic investigation, early case assessment, electronic discovery and data processing, application software and data hosting for web-based document reviews, and managed document review services. In addition, through its global Ontrack Data Recovery business, KLDiscovery delivers world-class data recovery, email extraction and restoration, data destruction and tape management. KLDiscovery has been recognized as one of the fastest growing companies in North America by both Inc. Magazine (Inc. 5000) and Deloitte (Deloitte’s Technology Fast 500). Additionally, KLDiscovery is an Orange-level Relativity Best in Service Partner, a Relativity Premium Hosting Partner and maintains ISO/IEC 27001 Certified data centers. KLDiscovery is an Equal Opportunity Employer. Visit www.kldiscovery.com to learn more. Show more Show less

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way . Job Description Job Responsibilities Collaborate with Product, Services, Engineering and Data Science teams to build and deliver AI products. Connect with internal and external stakeholders to understand use cases and advise on solutions. Translate complex technical concepts to non-technical stakeholders. Perform and manage tasks daily including but not limited to data annotation, AI quality monitoring, and KPIs monitoring. Assist in training the team on AI-specific configuration, AI model development, delivery processes, and data analysis. Knowledge of office tools like Lucid Charts, Confluence, JIRA, MS Office suite to build organized professional-level documentation. Understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team. Assist or co-own escalations, work on high priority incidents, collaborate and delegate tasks within the team to meet resolutions, and establish effective synergy among stakeholders. Develop systems and procedures to ensure quality of delivery. Understand the scope of deliveries and create collaborative delivery plans. Be accountable for service delivery performance, meeting customer expectations, and aiding in driving future demand. Assist in people management, including staff recruitment, performance assessment and training. Preferred Qualification Full-time bachelor's or master's degree in either of the following specializations: Management/Engineering/Communication. Overall, 3-5 years of experience in ML project management, AI quality monitoring or similar role. Understanding and knowledge of Agile and Scrum processes, terminologies, and artifacts. Prior experience and background in service delivery, AI quality monitoring, data annotation, KPI monitoring, data management, team management, client communication, vendor management, and documentation. Awareness of ML lifecycle and workflows, from initial client consultation to final deployment. Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client. Organizational and interpersonal skills to keep project goals clear, have timely connects with internal team/clients, and ensure deliveries are checked and tested in prior. Ability to collaborate - working with the Manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team. Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews. Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery. Developing a deep understanding of the projects to gain insights into the scope of service delivery. Taking accountability for service delivery performance, meeting customer expectations, and driving future demand. Analyzing third-party as well as internal processes and creating strategies for service delivery optimization. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law. Show more Show less

#ONSITE We are looking for a highly experienced NLP Analyst with deep expertise in linguistic data analysis, annotation design, and production-scale NLP model evaluation. This role requires a blend of linguistic acumen, analytical rigor, and real-world application experience. You will drive the design and execution of NLP initiatives across diverse domains and guide cross-functional teams on best practices in language data handling and annotation quality. Key Responsibilities Manage large-scale text annotation and labeling pipelines for supervised and semi-supervised learning. Conduct advanced linguistic analysis of unstructured content (e.g., clinical notes, legal contracts, customer communications, claim documents) to identify patterns, gaps, and modeling opportunities. Define and enforce annotation schemas and QA protocols for complex NLP tasks (e.g., NER, relation extraction, coreference resolution, sentiment/intent classification). Evaluate and improve the performance of NLP models through rigorous error analysis and metric-driven feedback loops. Collaborate with ML/NLP engineers, data scientists, and domain experts to build robust NLP pipelines that scale across use cases. Lead internal research efforts on emerging NLP methodologies, including LLM prompt engineering, hybrid rule-learning approaches, and few-shot learning. Provide mentorship to junior analysts and contribute to developing internal NLP knowledge repositories and annotation standards. Required Qualifications Master’s in computational Linguistics, NLP, Data Science, Computer Science, or a related field. 5+ years of professional experience in NLP, with a strong track record of hands-on work in data annotation, language model evaluation, and NLP pipeline development. Expertise in Python and key NLP libraries (spaCy, NLTK, Scikit-learn, Hugging Face Transformers, etc.). Advanced proficiency in building and managing annotation workflows using tools like Prodigy, doccano, Brat, or in-house platforms. Deep understanding of linguistic structures (syntax, semantics, pragmatics) and their application to real-world NLP challenges. Experience evaluating ML/NLP models using metrics like F1, ROUGE, BLEU, precision/recall, and embedding-based similarity. Solid grasp of vectorization methods (TF-IDF, embeddings, transformer-based encodings) and modern language models (e.g., BERT, GPT, LLaMA). Preferred Qualifications Experience with domain-specific NLP (e.g., clinical/biomedical, legal, fintech). Knowledge of knowledge graph construction, relation extraction, and entity linking. Experience integrating structured/unstructured data for downstream AI/ML applications. Familiarity with prompt engineering for LLMs and tuning foundation models. Strong data querying and visualization skills (SQL, pandas, seaborn, Power BI/Tableau). Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

About Us: We are a new-age AI solutions firm with an ultra-high-quality talent pool out of India for RLHF. Our experts in the specific domain of their expertise help curate hyper-specific LLM datasets. We have operations across the US and India and are working with the top AI firms globally to take their large language models (LLMs) to the next level of quality and consistency. Who you are & how you can contribute? We seek a highly knowledgeable and detail-oriented Market Research Executive (Freelancer) to join our data annotation team who can use their data collection, communication, and statistical skills to train the LLM models. If you are excited to contribute to AI innovation, this position is perfect for you. Role & Responsibilities: 1. Help in the training of an AI assistant model to enhance its accuracy and performance. 2. Evaluate the model's responses across multiple dimensions to ensure quality and relevance. 3. Maintain high standards of speed and precision while assessing the model's responses. Must Required Traits: 1. Strong attention to detail. 2. Ability to carefully follow instructions. 3. Excellent proficiency in English. Why Join Us? Competitive pay (up to ₹1000/hour). Flexible hours Remote opportunity NOTE: Pay will vary by project and typically is up to Rs. 1000 per hour (if you work an average of 3 hours every day - that could be as high as Rs 90K per month) once you clear our screening process. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions! Show more Show less

About Us: We are a new-age AI solutions firm with an ultra-high-quality talent pool out of India for RLHF. Our experts in the specific domain of their expertise help curate hyper-specific LLM datasets. We have operations across the US and India and are working with the top AI firms globally to take their large language models (LLMs) to the next level of quality and consistency. Who you are & how you can contribute? We seek a highly knowledgeable and detail-oriented Market Research Manager (Freelancer) to join our data annotation team who can use their data collection, communication, and statistical skills to train the LLM models. If you are excited to contribute to AI innovation, this position is perfect for you. Role & Responsibilities: 1. Help in the training of an AI assistant model to enhance its accuracy and performance. 2. Evaluate the model's responses across multiple dimensions to ensure quality and relevance. 3. Maintain high standards of speed and precision while assessing the model's responses. Must Required Traits: 1. Strong attention to detail. 2. Ability to carefully follow instructions. 3. Excellent proficiency in English. Why Join Us? Competitive pay (up to ₹1000/hour). Flexible hours Remote opportunity NOTE: Pay will vary by project and typically is up to Rs. 1000 per hour (if you work an average of 3 hours every day - that could be as high as Rs 90K per month) once you clear our screening process. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions! Show more Show less

We seek an experienced Content Creator who will teach and train the LLM model by doing data annotation tasks with the help of their core skills. If you are excited to contribute to AI innovation, this position is perfect for you. Roles & Responsibilities: 1. Support the training of an AI assistant model to enhance its accuracy and performance. 2. Evaluate the model's responses across multiple dimensions to ensure quality and relevance. 3. Maintain high standards of speed and precision while assessing the model's responses. Required Skills: 1. Strong attention to detail 2. Ability to carefully follow instructions 3. Excellent proficiency in English. Why Join Us? Competitive pay (up to ₹1200/hour). Flexible hours. Remote opportunity Pay will vary by projec t and typically is upto ~Rs. 1200 per hour (if you work an average of 3 hours every day - that could be as high as Rs 100K per month) once you clear our rigorous screening process. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions! Show more Show less

JOB DESCRIPTION #ONSITE We are looking for a highly experienced NLP Analyst with deep expertise in linguistic data analysis, annotation design, and production-scale NLP model evaluation. This role requires a blend of linguistic acumen, analytical rigor, and real-world application experience. You will drive the design and execution of NLP initiatives across diverse domains and guide cross-functional teams on best practices in language data handling and annotation quality. Key Responsibilities Manage large-scale text annotation and labeling pipelines for supervised and semi-supervised learning. Conduct advanced linguistic analysis of unstructured content (e.g., clinical notes, legal contracts, customer communications, claim documents) to identify patterns, gaps, and modeling opportunities. Define and enforce annotation schemas and QA protocols for complex NLP tasks (e.g., NER, relation extraction, coreference resolution, sentiment/intent classification). Evaluate and improve the performance of NLP models through rigorous error analysis and metric-driven feedback loops. Collaborate with ML/NLP engineers, data scientists, and domain experts to build robust NLP pipelines that scale across use cases. Lead internal research efforts on emerging NLP methodologies, including LLM prompt engineering, hybrid rule-learning approaches, and few-shot learning. Provide mentorship to junior analysts and contribute to developing internal NLP knowledge repositories and annotation standards. Required Qualifications Master’s in computational Linguistics, NLP, Data Science, Computer Science, or a related field. 5+ years of professional experience in NLP, with a strong track record of hands-on work in data annotation, language model evaluation, and NLP pipeline development. Expertise in Python and key NLP libraries (spaCy, NLTK, Scikit-learn, Hugging Face Transformers, etc.). Advanced proficiency in building and managing annotation workflows using tools like Prodigy, doccano, Brat, or in-house platforms. Deep understanding of linguistic structures (syntax, semantics, pragmatics) and their application to real-world NLP challenges. Experience evaluating ML/NLP models using metrics like F1, ROUGE, BLEU, precision/recall, and embedding-based similarity. Solid grasp of vectorization methods (TF-IDF, embeddings, transformer-based encodings) and modern language models (e.g., BERT, GPT, LLaMA). Preferred Qualifications Experience with domain-specific NLP (e.g., clinical/biomedical, legal, fintech). Knowledge of knowledge graph construction, relation extraction, and entity linking. Experience integrating structured/unstructured data for downstream AI/ML applications. Familiarity with prompt engineering for LLMs and tuning foundation models. Strong data querying and visualization skills (SQL, pandas, seaborn, Power BI/Tableau). Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues. RESPONSIBILITIES Key Responsibilities Preprocess and clean raw text data for downstream NLP applications (e.g., tokenization, normalization, entity recognition). Annotate and label datasets for supervised learning tasks (e.g., intent classification, sentiment analysis, NER). Analyze and visualize linguistic patterns and insights from textual data. Work with data scientists to evaluate and improve model performance. Support the development of rule-based and machine learning-based NLP pipelines. Document and maintain guidelines for annotation and linguistic QA. Collaborate with stakeholders to understand domain-specific language challenges and requirements QUALIFICATIONS Required Qualifications Bachelor’s degree in Linguistics, Computer Science, Data Science, or a related field. 3+ years of hands-on experience with text analysis or NLP tasks. Proficiency in Python and common NLP libraries (e.g., spaCy, NLTK, pandas). Experience working with annotation tools (e.g., Prodigy, Labelbox, doccano). Strong understanding of language structure and linguistic features. Ability to apply regular expressions and text parsing techniques effectively. Familiarity with data visualization tools and basic statistics. Preferred Qualifications Experience in domain-specific NLP (e.g., clinical/biomedical, legal, financial). Knowledge of vectorization methods (TF-IDF, word2vec, BERT embeddings). Exposure to ML model evaluation metrics (e.g., precision, recall, F1 score). Experience with SQL and working with large datasets. Familiarity with LLMs (e.g., OpenAI, Hugging Face Transformers). Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work. WHO WE ARE Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients – the world’s largest enterprises and biggest brands succeed. WHAT WE BELIEVE At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special. We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet. Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us. Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time. ABOUT US Perficient is always looking for the best and brightest talent and we need you! We’re a quickly growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, experience work-life balance, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Select work authorization questions to ask when applicants apply 1. Are you legally authorized to work in the United States? 2. Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)? Show more Show less

About the AI Lab at PB Health The AI Lab at PB Health is at the forefront of innovation, tackling advanced challenges in processing and analyzing audio, and text data on a large scale. Our work spans various domains including Classical ML Models, Speech Recognition, Natural Language Processing (NLP), Large Language Models(LLMs). We are dedicated to transforming theoretical research into practical, cutting-edge products that enhance the customer experience. Key Responsibilities: ∙ Collect, pre-process, and annotate datasets for training large language models. ∙ Develop, fine-tune, and evaluate conversational AI. ∙ Conduct independent and collaborative research to explore new techniques in AI/LLM development. . Stay current with the latest advancements in AI, machine learning, and NLP, and apply relevant findings to ongoing projects. ∙ Collaborate cross-functionally with data scientists, engineers, and product teams to integrate models into production systems. Qualifications: ∙ Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. PhD is a plus. ∙ Experience working with large language models such as GPT, BERT, T5, etc. ∙ Strong programming skills in Python and familiarity with machine learning frameworks like PyTorch or TensorFlow. ∙ Proven experience in dataset preparation and annotation for NLP tasks. ∙ Strong understanding of natural language understanding, generation, and transfer learning techniques. ∙ Excellent problem-solving skills and attention to detail. Show more Show less

We are hiring an experienced AI Developer who specializes in computer vision, object detection, and OCR technologies. The ideal candidate will work closely with the development team to design, train, and deploy machine learning models that extract meaningful insights from visual data. You will be responsible for model training, data annotation, API integration, and creating end-to-end AI pipelines. Job Responsibilities Develop and fine-tune object detection models using YOLOv5/YOLOv8, Detectron2, or SSD Preprocess image data using OpenCV (contours, morphology, edge detection, etc.) Train custom models using labeled datasets, including bounding box annotations Use annotation tools such as CVAT, LabelImg, or Roboflow to label and manage datasets Prepare data in YOLO format, apply augmentation techniques to increase accuracy Integrate OCR engines such as Tesseract or EasyOCR to extract text from images Associate spatial text with detected objects using bounding box linking and proximity-based matching Build and deploy REST APIs using Flask or FastAPI for serving trained models Collaborate with frontend/backend developers to integrate AI models into applications Job Qualifications: Must-Have Skills Experience with YOLO (v5/v8), Detectron2, or SSD object detection models Proficient in image preprocessing techniques using OpenCV Hands-on experience with annotation tools like CVAT, LabelImg, or Roboflow Ability to prepare and format datasets for training (e.g., YOLO format, augmentation) Strong knowledge of OCR tools such as Tesseract OCR or EasyOCR Experience in linking spatial text with detected objects and proximity-based matching Proficiency in building RESTful APIs using Flask or FastAPI Solid understanding of Python, machine learning, and deep learning frameworks (e.g., PyTorch, TensorFlow) Nice to Have Knowledge of Docker, cloud deployment (AWS/GCP), and CI/CD practices Experience with model monitoring and performance optimization Familiarity with database technologies (e.g., MongoDB, PostgreSQL) Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: Python (PyTorch, TensorFlow): 1 year (Required) object detection Models: 1 year (Required) OpenCV: 1 year (Required) Location: Kulathur, Thiruvananthapuram, Kerala (Preferred) Work Location: In person Application Deadline: 30/06/2025

About Times Internet At Times Internet, we create premium digital products that simplify and enhance the lives of millions. As India’s largest digital products company, we have a significant presence across a wide range of categories, including News, Sports, Fintech, and Enterprise solutions.Our portfolio features market-leading and iconic brands such as TOI, ET, NBT, Cricbuzz, Times Prime, Times Card, Indiatimes, Whatshot, Abound, Willow TV, Techgig and Times Mobile among many more. Each of these products is crafted to enrich your experiences and bring you closer to your interests and aspirations. As an equal opportunity employer, Times Internet strongly promotes inclusivity and diversity. We are proud to have achieved overall gender pay parity in 2018, verified by an independent audit conducted by Aon Hewitt. We are driven by the excitement of new possibilities and are committed to bringing innovative products, ideas, and technologies to help people make the most of every day. Join us and take us to the next level! About the Business Unit Colombia is a contextual AI-driven AdTech platform that revolutionizes digital advertising with cutting-edge technology. By utilizing advanced machine learning and AI, Colombia delivers highly targeted and personalized ad experiences, ensuring optimal engagement and performance. Our platform seamlessly integrates with publishers and advertisers, offering robust solutions for display, video, and native advertising. With over 650 million unique users monthly, Colombia leverages data-driven insights to provide unmatched reach and engagement. As part of India’s largest premium content network, we ensure high- quality user interaction and engagement. With over 15 billion recommendations per month & 650 Mn + unique users, we guarantee massive audience reach. Utilizing AI & ML models for lookalike audience creation, bid prediction, and contextual targeting, Colombia enhances campaign effectiveness and user engagement. Our AI-powered user segmentation and article annotation streamline processes, delivering more accurate and relevant user experiences. Experience the future of advertising with Colombia... Job Requirement Product Ownership: Own and evolve the data layer powering Colombia's AdTech stack AI/ML Use Case Enablement: Define and prioritize product requirements for AI-driven ad serving AdTech Ecosystem Integration: Lead integration with SSPs, DSPs, DMPs, CDPs, and internal/external APIs to enhance audience intelligence and campaign performance. Privacy & Compliance Cross-Functional Leadership: Collaborate with engineering, analytics, sales, and operations teams to execute product roadmaps and GTM strategies. Innovation & Impact: Explore & stay up to date with the latest AI and GenAI capabilities for recommendation engines, predictive audience modeling, and smart creatives. Required Skills & Experience 7+ years of experience in Product Management with a focus on AdTech, MarTech, Data Infrastructure, AI use cases Strong understanding of programmatic advertising, real-time bidding, cookies vs. cookieless targeting, and contextual systems etc. Experience with data pipelines, AI, and machine learning frameworks Proven track record of building scalable platforms or APIs used for audience targeting or campaign optimization Ability to translate complex tech into simple, business-friendly outcomes Strong analytical mindset and familiarity with tools like BigQuery, SQL, GA, etc. Excellent communication and stakeholder management skills Experience working with GenAI, LLMs, or AI Agents in marketing/advertising use cases Show more Show less

OVERVIEW/SUMMARY: The Project Coordinator works closely with their manager in the execution of projects according to project plans. The Project Coordinator works with stakeholders to understand project requirements, using their project expertise and technical skills to handle and assign project tasks, assist with problem solving, and support managers in day-to-day department operations. The Project Coordinator coordinates the life cycle of data annotation, data collection, data transcription, and staffing projects, ensuring their seamless execution. DESCRIPTION: The Project Coordinator is responsible for the day-to-day execution of project plans, schedules, and expenditures, organizing and participating in stakeholder meetings, and ensuring that project deadlines are met in a timely manner. RESPONSIBILITES: Overseeing the day-to-day project activities, from data assignments to and from annotation and QA, overseeing and managing the data life cycle. Work with the Project Manager to implement and execute project plans, working towards ensuring timely, budget-friendly, and quality deliveries. Identify and mitigate risks while ensuring project quality and accuracy Act as the point of contact between contributors and payments team in case of any payment issues Communicate with other teams and departments within the company, such as Sourcing, Payments, IT, and Operations, to ensure the smooth running of the project Build and maintain excellent relationships with team members, contributors, and independent contractors Juggling multiple projects simultaneously in a fast-paced environment by effective prioritization Ensure projects adhere to frameworks and all documentation is maintained appropriately for each project. REQUIRED SKILLS/COMPETENCIES: Exceptional communication skills – being able to communicate important project updates both verbally and in writing Use platforms/systems to plan, organize, and prioritize to ensure the successful completion of projects Resource planning skills – effectively and strategically distributing resources Organization skills and the ability to work under pressure Effective use of planning tools and time management Outstanding teamwork and collaboration skills – ability to interact with all stakeholders Problem-solving skills – effective analysis and creative solutions for any problems that might arise Excellent Analytical and critical thinking skills – ability to analyze a situation and plan and implement a solution Knowledge of file management and other administrative procedures Competency in the use of business applications and collaboration tools, including but not limited to the Microsoft suite of applications (Outlook, Excel, Word, PowerPoint, SharePoint, Teams) and Google Workspace suite of products. REQUIRED EXPERIENCE AND QUALIFICATIONS: Minimum Bachelor’s degree or its equivalent English language fluency PREFERRED SKILLS AND EXPERIENCE: Awareness of PMI/PMP international project management standards Minimum 1 year Project Coordination experience (industry experience a plus) Knowledge of AI industry Experience supporting Machine Learning data annotation services, data collection, transcription, and staffing Experience working with support ticketing systems Experience working with crowd workers/community Experience working in a multinational/multicultural virtual working environment Experience in working in a cross-functional/matrix organization Awareness of different Image Annotation platforms such as Data Loop or Supervisory Awareness of Image Annotation: Lidar image annotation, annotations for Autonomous Driving and other 2D image annotation Fluency in a language other than English is a plus. Show more Show less

Key Responsibilities: ● Review and tag diverse datasets according to predefined criteria and guidelines. ● Ensure accuracy and consistency in data tagging processes, paying close attention to linguistic nuances and context. ● Collaborate with the AI team to optimize tagging strategies and improve efficiency. ● Provide feedback and contribute to the enhancement of tagging methodologies. ● Maintain documentation and records related to tagging activities. Requirements: ● Excellent command of the English language, including grammar, syntax, and vocabulary. ● Strong attention to detail and ability to maintain consistency in tagging tasks. ● Previous experience in data tagging or annotation is preferred but not mandatory. ● Familiarity with tagging tools and platforms is a plus. ● Ability to work independently and as part of a team in a fast-paced environment. Qualifications: ● Excellent receptive skill in English language. ● Proven ability to work with large datasets and meet deadlines. ● Excellent communication and interpersonal skills. ● Strong analytical and problem-solving abilities. Job Location - Trivandrum Employment type - Contract (3 months) Show more Show less

Job Title: Associate Manager, Machine Learning Services Job Responsibilities: Collaborate with Product, Services, Engineering and Data Science teams to build and deliver AI products. Connect with internal and external stakeholders to understand use cases and advise on solutions. Translate complex technical concepts to non-technical stakeholders. Perform and manage tasks daily including but not limited to data annotation, AI quality monitoring, and KPIs monitoring. Assist in training the team on AI-specific configuration, AI model development, delivery processes, and data analysis. Knowledge of office tools like Lucid Charts, Confluence, JIRA, MS Office suite to build organized professional-level documentation. Understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team. Assist or co-own escalations, work on high priority incidents, collaborate and delegate tasks within the team to meet resolutions, and establish effective synergy among stakeholders. Develop systems and procedures to ensure quality of delivery. Understand the scope of deliveries and create collaborative delivery plans. Be accountable for service delivery performance, meeting customer expectations, and aiding in driving future demand. Assist in people management, including staff recruitment, performance assessment and training. Preferred Qualification: Full-time bachelor's or master's degree in either of the following specializations: Management/Engineering/Communication. Overall, 3-5 years of experience in ML project management, AI quality monitoring or similar role. Understanding and knowledge of Agile and Scrum processes, terminologies, and artifacts. Prior experience and background in service delivery, AI quality monitoring, data annotation, KPI monitoring, data management, team management, client communication, vendor management, and documentation. Awareness of ML lifecycle and workflows, from initial client consultation to final deployment. Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client. Organizational and interpersonal skills to keep project goals clear, have timely connects with internal team/clients, and ensure deliveries are checked and tested in prior. Ability to collaborate - working with the Manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team. Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews. Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery. Developing a deep understanding of the projects to gain insights into the scope of service delivery. Taking accountability for service delivery performance, meeting customer expectations, and driving future demand. Analyzing third-party as well as internal processes and creating strategies for service delivery optimization. Show more Show less

[READ THE ENTIRE POST BEFORE APPLYING] Responsibilities 💼 Work on annotating or labeling images on an image labeling tool for an AI project Manually label agricultural data focused on instance segmentation for computer vision Ensure accuracy and attention to detail while manually labeling objects in images Benefits✨ Internship Completion Certificate in AI Annotation Stipend: KSH 4400 per month [Do not apply if you disagree with the stipend] Flexible work timings + Remote (Work from Home) Gain hands-on experience in image annotation tools and workflows Valuable career exposure to the fastest-growing field of Computer Vision and Data Labeling Qualifications 🎓 Working hours: 5-6 hours per day, 6 days a week. Flexible work timings. Internship period: 3 months Comfortable working with image editing/ transformation tools Access to a reliable internet connection Why this opportunity? 💡 Chance to work on real-world AI/ML projects and contribute to data that powers AI models Internship Certificate from a technology startup specializing in AI data and Computer Vision Exposure to professional-grade image annotation platforms and processes About us Klatch is at the forefront of addressing today's most critical challenge in AI development: the need for high-quality, diverse data. Our award-winning Data Annotation, Data Acquisition, and Synthetic Data Generation services are tailored to fuel innovation across Computer Vision, ML, and NLP LLM applications. We are seeking Interns for our AI Data Annotation Services team. This is a remote internship and is open to qualified applicants worldwide. Our Impact: Recognized in Slator's 2024 Top Language AI Firms under the Data for AI segment, Klatch has established itself as an essential partner for enterprises pushing the boundaries of AI. We were also nominated for Startup of the Year 2024 by HackerNoon in the AI and IT Services segment. Show more Show less

We are looking for a Senior Java Developer with proven experience building robust, high-performance, large scale Capital Markets applications. Team Background The Enterprise Risk Technology Team is responsible for delivering solutions for credit risk management. The tools enable risk analysts and risk managers to easily perform tasks that relate to credit financial analysis for various business groups. Key areas of focus are to extend financials reporting and analytics capabilities and build a self-service portal, build a service-oriented architecture for credit assessments for loans, extend the credit analysis process to ensure consistency with regulatory guidelines ** Replacement Hire - C level upgrade (C10 to C12)** This role has transitioned from a C10 individual contributor to an expanded C12 role with greater responsibilities and complexity. Previously, this role was focused on delivering sophisticated software requirements specifically for BOW, consent orders, and regulatory submission platforms. Now, the role has grown to support a wider range of critical module deliverables aligned with high-priority business needs like Sybase retirement , Customer coverage roles migration , Multiple CAP requirements , Enhance regulatory controls , Delivers regular BAU works , Extends support to Data Services etc ., This C12 role comes with greater responsibilities that include: Delivering Advanced Technical Solutions: Tackling increasingly complex technical challenges to meet business goals across multiple modules. Coordinating Across Systems: Ensuring efficient collaboration between all upstream and downstream systems to maintain seamless operations and integration. Engaging Stakeholders: Facilitating clear, effective communication among stakeholders for timely and successful business deliverables. Risk and Control Focus: Maintaining a proactive approach to risk management and ensuring strict adherence to controls to safeguard business operations. User Communication and Support: Managing direct user interactions, addressing critical business-related queries, and offering technical guidance on project requirements. Contributions to encompass leadership across technical, operational, and risk management areas, reflecting a higher level of responsibility and strategic impact within the organization Who you are: You’ve got positive energy. You are optimistic about the future and determined to get there. You appreciate open and direct communication. You are both – an active communicator and an eager listener. You can switch context & pivot on the fly. Our group is a horizontal organization and regulations are constantly changing. What you worked on yesterday may not be what you work on today. You should be flexible to accommodate the constantly changing regulatory landscape into your projects by translating the business requirements into technical specifications. You want to be part of a winning team. We build & grow with one another and you’re a person who does not shy away from being pushed out of your comfort zone. You are often cited as inspiration for the junior colleagues, and they feel that they can learn something from you and you have a “can do” attitude. We assure that data of pristine quality is available to the business users for filing various Regulatory reports. Owning a problem does not scare you but empowers you to take 100% ownership. Qualifications: 10+ years Core Java experience developing robust, scalable, and maintainable applications applying Object Oriented Design principles. Strong knowledge and hands on experience in Java (Version 1.8 or above) Integration with SSO such as OAUTH and Expertise in Spring Batch, Spring IOC, Spring Annotation, Spring Security Hands-on experience in REST-APIs, and Backend using Java/J2EE technologies Should possess Unix/Linux knowledge to be able to write and understand shell scripts and commands Have an experience in Data Preparation Tools Experience with CI/CD build pipelines and toolchain – Git, Bitbucket, TeamCity, Artifactory, Jira Experience. Strong knowledge of CI/CD pipelines and experience in tools such as JIRA, BlackDuck, SONAR etc. Distributed Caching frameworks such as Ignite, Hazlecast, Redis or equivalent. Cloud computing technologies with practical experience working with containers, microservices and large datasets (Docker, Kubernetes). Demonstrated capacity to build sophisticated tooling for development and production team use. Experience re-engineering large monolithic applications to microservices. certification-Sun Certified Java Developer, AWS , Kubernetes ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

About QpiAI is a deep tech startup pioneering next-generation computing platforms, empowering enterprises to innovate and deploy AI solutions seamlessly across cloud and edge devices at scale. We're dedicated to making it easier to build meaningful AI powered experiences. Key Responsibilities Take ownership of infrastructure layer for on-premise and cloud deployments. Assist development teams in designing scalable and portable applications. Establish best practices within the organisation and help developers ship fast without breaking things. Product ownership and manage periodic reporting to management and senior leadership. Mentor team members to adopt a platform-first mindset. Ideal Profile Experience in DevOps engineering with Docker, Kubernetes, and shell scripting. Experience with distributed GPU systems and ML infrastructure. Expertise with cloud platforms like AWS, Azure, and GCP. Experience building robust infrastructure for training and serving machine learning models. Ability to set up multi-node Kubernetes clusters and use managed Kubernetes services. Nice to Have Experience with ML orchestration services like kubeflow, flyte, prefect. Knowledge on MLOps concepts like model and data versioning. Experience with distributed computing frameworks like ray. Skills: Docker,Kubernetes,shell scripting,distributed GPU systems,ML infrastructure,Data Annotation,Data Curation,Model Registry,Model Serving,Workflow Orchestration,Retrieval Augmented Generation (RAG),Agentic Workflows,CUDA_ERROR_VERSION_MISMATCH,multi node kubernetes clusters,managed kubernetes services,kube native tooling,Ansible,Terraform,pulumi,scalable data lakes,data processing pipelines,highly available services,databases,AWS,Azure,GCP,networking principles,load balancing,DNS configurations,proxies,integration and deployment pipelines,ML orchestration services,kubeflow,flyte,prefect,distributed computing frameworks,ray,Role-Based Access Control (RBAC) principles,MLOps concepts,model and data versioning,orchestration,model serving,modern distributed applications Show more Show less

About QpiAI is a deep tech startup pioneering next-generation computing platforms, empowering enterprises to innovate and deploy AI solutions seamlessly across cloud and edge devices at scale. We're dedicated to making it easier to build meaningful AI powered experiences. Key Responsibilities Take ownership of infrastructure layer for on-premise and cloud deployments. Assist development teams in designing scalable and portable applications. Establish best practices within the organisation and help developers ship fast without breaking things. Product ownership and manage periodic reporting to management and senior leadership. Mentor team members to adopt a platform-first mindset. Ideal Profile Experience in DevOps engineering with Docker, Kubernetes, and shell scripting. Experience with distributed GPU systems and ML infrastructure. Expertise with cloud platforms like AWS, Azure, and GCP. Experience building robust infrastructure for training and serving machine learning models. Ability to set up multi-node Kubernetes clusters and use managed Kubernetes services. Nice to Have Experience with ML orchestration services like kubeflow, flyte, prefect. Knowledge on MLOps concepts like model and data versioning. Experience with distributed computing frameworks like ray. Skills: Docker,Kubernetes,shell scripting,distributed GPU systems,ML infrastructure,Data Annotation,Data Curation,Model Registry,Model Serving,Workflow Orchestration,Retrieval Augmented Generation (RAG),Agentic Workflows,CUDA_ERROR_VERSION_MISMATCH,multi node kubernetes clusters,managed kubernetes services,kube native tooling,Ansible,Terraform,pulumi,scalable data lakes,data processing pipelines,highly available services,databases,AWS,Azure,GCP,networking principles,load balancing,DNS configurations,proxies,integration and deployment pipelines,ML orchestration services,kubeflow,flyte,prefect,distributed computing frameworks,ray,Role-Based Access Control (RBAC) principles,MLOps concepts,model and data versioning,orchestration,model serving,modern distributed applications Show more Show less

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

About the Role: A leading US-based AI company is seeking detail-oriented individuals passionate about mathematics and logic puzzles. In this role, you will create, evaluate, and refine puzzles to improve the accuracy and effectiveness of advanced AI models. Key Responsibilities: Solve and verify math and logic puzzles. Evaluate AI responses for accuracy and clarity. Annotate AI outputs with clear, constructive feedback. Identify unclear or incorrect data to enhance AI quality. Collaborate with the team for consistent standards. Track performance metrics like accuracy and task completion. Attend calibration sessions to maintain annotation consistency. Document best practices and support workflow improvements. Required Qualifications: Bachelor's degree in Mathematics, Physics, Computer Science, or related fields. Experience in teaching, research, or professional math/logic roles. Excellent communication skills for complex mathematical concepts. Proven analytical and problem-solving abilities. Strong knowledge in algebra, calculus, probability, discrete math, number theory, logic, algorithms, or game theory. Preferred Qualifications: Ph.D. in Mathematics, Physics, Statistics, or related fields. Experience creating educational content or puzzles. Familiarity with AI and Large Language Models (LLMs). Prior data annotation experience in math or logic contexts. Perks & Benefits: Work on cutting-edge AI and data projects impacting real-world use cases. 100% remote – work from anywhere. Contract role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global tech standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Job Title: Deputy Manager – Training (B3) Location: Hyderabad, Telangana, India Experience Required: 6–8 years About the Role: We are looking for an experienced and dynamic Deputy Manager – Training to lead and manage the training function for a high-impact operations team. This role is critical in ensuring that team members are equipped with the knowledge, skills, and tools needed to perform effectively. The ideal candidate will be responsible for managing the full training lifecycle from identifying needs and developing content to delivery, performance evaluation, and continuous improvement. Key Responsibilities: Training Strategy & Planning: Design and implement training strategies aligned with business goals, including needs assessments, training calendars, and learning objectives. Content Development: Lead the creation and maintenance of effective training materials (manuals, e-learning modules, presentations, job aids, etc.) ensuring consistency and relevance. Training Delivery: Manage and facilitate onboarding, process-specific training, upskilling, and refresher programs using blended learning approaches. Trainer Management & Development: Lead and mentor a team of trainers; support their development through coaching, feedback, and performance management. Stakeholder Collaboration: Work closely with operations, quality, and other internal stakeholders to identify training needs and align expectations. Training Evaluation & Reporting: Define metrics to measure training effectiveness, analyze outcomes, and refine training programs based on insights. Process Improvement: Continuously assess and enhance training methodologies, processes, and tools to maximize efficiency and impact. LMS Administration: Oversee the usage of Learning Management Systems for tracking, scheduling, and managing content. Compliance: Ensure all training activities comply with internal policies, quality standards, and regulatory requirements. Qualifications: Bachelor’s degree in any relevant discipline. 6–8 years of progressive experience in training & development, preferably within a BPO/KPO or technology-enabled operations environment. Strong background in managing the end-to-end training lifecycle. Excellent facilitation and presentation skills. Expertise in instructional design and content creation. Proven leadership and people management skills. Strong stakeholder management and communication skills. Analytical mindset with ability to assess and report on training effectiveness. Familiarity with Learning Management Systems (LMS). Preferred Skills: Certification in Training and Development (e.g., CPTD). Experience with tools like Articulate Storyline, Adobe Captivate, or similar. Ability to analyze data and prepare detailed training reports. Exposure to projects involving mapping, annotation, or autonomous vehicle processes will be an advantage. Show more Show less

Role Summary: A prominent U.S.-based client is seeking talented copywriters and content specialists to develop clear, compelling storyboards and precise video annotations. You'll create impactful narratives for short-form (around 1 minute) and medium-length (~5 minutes) videos, ensuring the content is engaging, accurate, and meets high editorial standards. Responsibilities: Develop visually engaging storyboards from provided briefs and visuals. Annotate videos accurately with concise, context-sensitive captions. Conduct reviews of annotations to ensure accuracy, consistency, and adherence to editorial standards. Provide clear, constructive feedback to enhance the quality of content produced by other team members. Collaborate closely with the client’s editorial and content teams to achieve excellence. Requirements: Bachelor's degree in Communications, Journalism, Literature, Arts, Engineering, or related fields. Excellent proficiency in English writing, editing, and comprehension. Strong creative and analytical thinking skills. High accuracy and attention to detail. Ability to visualize and convey concepts effectively. Familiarity with AI video annotation and editing tools (Midjourney, Sora, Runway) is desirable. Benefits of Joining: Opportunity to work with top-tier industry professionals. Fully remote, flexible contract position. Competitive international-level compensation in USD. Contribute directly to groundbreaking AI technologies impacting diverse industries. Selection Process: Shortlisted analysts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Role Summary: A prominent U.S.-based client is seeking talented copywriters and content specialists to develop clear, compelling storyboards and precise video annotations. You'll create impactful narratives for short-form (around 1 minute) and medium-length (~5 minutes) videos, ensuring the content is engaging, accurate, and meets high editorial standards. Responsibilities: Develop visually engaging storyboards from provided briefs and visuals. Annotate videos accurately with concise, context-sensitive captions. Conduct reviews of annotations to ensure accuracy, consistency, and adherence to editorial standards. Provide clear, constructive feedback to enhance the quality of content produced by other team members. Collaborate closely with the client’s editorial and content teams to achieve excellence. Requirements: Bachelor's degree in Communications, Journalism, Literature, Arts, Engineering, or related fields. Excellent proficiency in English writing, editing, and comprehension. Strong creative and analytical thinking skills. High accuracy and attention to detail. Ability to visualize and convey concepts effectively. Familiarity with AI video annotation and editing tools (Midjourney, Sora, Runway) is desirable. Benefits of Joining: Opportunity to work with top-tier industry professionals. Fully remote, flexible contract position. Competitive international-level compensation in USD. Contribute directly to groundbreaking AI technologies impacting diverse industries. Selection Process: Shortlisted analysts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less