871 Data Annotation Jobs

Key Requirement for the Position • Experience in Data analysis, Data labelling or Data Annotation. • Strong proficiency in Google Sheets, Excel, or MS Office suite. • Ability to identify and apply accurate tagging conventions. • Excellent attention to detail and ability to follow structured guidelines. • Strong problem-solving skills and ability to work independently. Job Description Key Responsibilities: • Identify and count the number of unique products within datasets. • Apply accurate and relevant tags to each product based on predefined criteria. • Categorize products into specific groups according to structured guidelines. • Identify and label all US-based brands in the dataset. • Ensure consistency and accuracy in data tagging and categorization. • Work with structured data sources such as spreadsheets, databases. • Collaborate with team members to refine categorization criteria and improve data quality. • Conduct quality checks and resolve discrepancies in product classification.

Why this role exists As AI systems scale rapidly across industries, the integrity and accuracy of testing, training, and evaluation data have never been more critical. TaskUs needs a proactive leader who can architect and uphold highquality annotation workflows so that AI models are built and evaluated on, reliable data without compromising on speed or efficiency. The impact youll make: Build and guide a high-performing team : Lead and mentor a team of Data Quality Analysts, setting clear quality goals, delivering feedback, and fostering a culture of precision and accountability. Ensure quality at scale : Develop and continually refine robust QA processes, SOPs, and statistical quality metrics (e.g., F1 score, interannotator agreement) to protect the integrity of annotation outputs. Drive transparency and insight : Create dashboards and reports that reveal quality trends, root causes of errors, and improvement opportunities - communicating these insights to leadership and clients. Champion tool innovation and efficiency : Manage annotation and QA platforms (like Labelbox, Dataloop, LabelStudio), and lead the evaluation or implementation of new automation tools to elevate efficiency and maintain quality. Responsibilities: Strategic Leadership Drive the development, refinement, and documentation of quality assurance processes and standard operating procedures to ensure high-quality outputs. Establish comprehensive quality metrics (e.g. F1 score, inter-annotator agreement) that align with business objectives and industry standards. Continuously review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors. Act as the subject matter expert on annotation quality, providing ongoing feedback, training, and support to annotators and project teams to uphold the highest quality standards. Analysis & Reporting Lead in-depth data analysis to diagnose quality issues, assess the effectiveness of quality strategies, and uncover root causes of recurring errors. Develop and maintain dashboards that provide real-time insights into quality metrics and project performance. Prepare and deliver strategic quality reports to senior management and clients, articulating quality trends, risks, and improvement plans. Partner with cross-functional teams, including operational management, engineering, and client services, to align on project goals and quality assurance initiatives. Operational Leadership Lead a team of Data Quality Analysts and provide mentorship, training, and expertise, fostering a culture of continuous improvement and accountability. Manage the configuration and integration of annotation and quality control tools (e.g. Labelbox, Dataloop, LabelStudio), ensuring optimal tool performance and alignment with project requirements Identify, evaluate, and implement innovative quality control tools and automation technologies to streamline quality control workflows, enhance analytical capabilities, and improve operational efficiency. Required Qualifications Bachelors degree in a technical field (e.g. Computer Science, Data Science) or equivalent professional experience. 3+ years of experience in data quality management, data operations, or related roles within AI/ML or data annotation environments. Proven track record in designing and executing quality assurance strategies for large-scale, multi-modal data annotation projects. Proven track record in a leadership role managing and developing high-performing, remote or distributed teams. Deep understanding of data annotation processes, quality assurance methodologies, and statistical quality metrics (e.g., F1 score, inter-annotator agreement). Strong data-analysis skills, with the ability to interrogate large datasets, perform statistical analyses, and translate findings into actionable recommendations. Excellent communication skills, with experience presenting complex data and quality insights to technical and non-technical stakeholders. Proficiency with annotation and QA tools (e.g., Labelbox, Dataloop, LabelStudio). High-level of proficiency in common data-analysis tools, such as Excel and Google Sheets. Familiarity with programmatic data analysis techniques (e.g. Python, SQL). Familiarity with the core concepts of AI/ML pipelines, including data preparation, model training, and evaluation. Preferred Qualifications Prior experience in an agile or fast-paced tech environment with exposure to AI/ML pipelines. Experience in a managed services or vendor-driven environment. Familiarity with prompt engineering and large-language-model assisted workflows to optimise annotation and validation processes. In-depth knowledge of ethical AI practices and compliance frameworks.

Role & responsibilities Remote opportunity (work from home) Job Description: Engineers with 0-1 year Experience required with Degree certificate required for Autonomous Cars technology: Validating, Video Labeling for Autonomous cars / Chassis control Systems in Automated cars and trucks. Infrastructure for video sequences of a camera mounted autonomous capable Cars. Synchronizing recorded video files to master database, annotation of images It deals with finding Road signs, Lane, Lights, Pedestrians, Vehicles, Infrastructure in video sequences of a camera mounted on the front of a car. Supporting team members with issues while labeling Video. Preferred candidate profile You will be required to Work from home till or from our client premises Candidates must have their own Laptop. It is mandatory(I5 processor with speed 2Gzh, 8GB RAM, Licensed Windows 10),Internet speed(50MBPS) Wifi. Android 15 or IOS 16

Roles & Responsibilities: Establish proper classification and apply labels to the images and video data with established procedures Tag the data based on certain rules to provide useful information for the machine learning team Make content distinctions, identify patterns, and build a high-quality dataset to allow easier and faster user accessibility Provide constructive feedback to engineers on tooling and processes for more efficient labeling and improved data quality Identify and analyze any bugs and errors found and document them for review Evaluate metrics to help improve our productivity Work closely with AI engineers & SMEs to support the model development process Skills required: Previous experience or knowledge of Data Annotation. Good communication skills and the ability to work in a team environment. About KoiReader: We are an emerging technologies firm that enables Hyper automation through our proprietary platform, enterprise integrations, and ISV partnerships. We chose the name Koi as it means "Any" (for any data format, unstructured or structured) in Hindi as well as accurately representing the underlying technology. K(C)ognitive Optical Imaging. Our founders are alums of XPO Logistics, EY, PwC, Mu Sigma, Oracle, Blue Yonder/JDA/i2, and Capgemini. We offer deep expertise in Artificial Intelligence, EDGE Computing, Image Processing, Algorithms, Data Science, Logistics, Trade, Transportation, Maritime, and Supply Chain. Our platform capabilities are backed by multiple patents.

Role Overview: As a Data Annotator Intern at Quidich, you will be part of the Research & Development team, assisting in the development and improvement of machine learning models by accurately labeling and annotating data. Your role will be crucial in working on global projects related to sports technology. Attention to detail, organizational skills, and the ability to collaborate effectively in a team environment are key for this position. Key Responsibilities: - Annotating and labeling various types of data (text, images, and audio) according to predefined guidelines and standards. - Ensuring high-quality and accurate annotations to support machine learning algorithms" training and evaluation. - Collaborating with team members to understand project requirements and provide feedback on annotation guidelines. - Maintaining consistency and accuracy in labeling data across different projects and datasets. - Meeting project deadlines and production targets while upholding high standards of quality. - Identifying and reporting any issues or challenges related to data quality and annotation guidelines. Qualifications Required: - Minimum of a high school diploma; a bachelor's degree in a related field is a plus. - Previous experience in data annotation, labeling, or a related field is preferred. - Basic understanding of machine learning concepts and applications is advantageous. - Comfortable working in a collaborative team environment and adaptable to evolving project requirements. - Strong analytical skills, effective communication, time management, technical proficiency, critical thinking, and attention to detail are essential for this role. Location: Mumbai Reporting To: Product Head Joining Date: Immediate Note: If you are passionate about contributing to the advancement of artificial intelligence and possess the necessary skills, we encourage you to apply and join our dynamic team.,

As a Data Annotation Specialist for LiDAR 3D Process, your role will involve annotating and labeling 3D point cloud data acquired from LiDAR sensors to ensure the creation of high-quality datasets. These datasets are crucial for AI/ML model training in various fields such as autonomous driving, robotics, and 3D mapping applications. Key Responsibilities: - Interpret and comprehend project requirements related to LiDAR 3D annotation tasks. - Accurately label and categorize 3D point cloud data based on specified guidelines. - Segment various objects like vehicles, pedestrians, road signs, lanes, and environmental features within 3D datasets. - Utilize specialized LiDAR annotation tools to mark bounding boxes, cuboids, and perform semantic segmentation. - Maintain consistency and accuracy in annotations across all projects. - Review and validate labeled data to ensure quality and adherence to project standards. - Collaborate with the QA team to rectify errors and enhance annotation processes. - Meet productivity and quality targets within project timelines. Skills & Qualifications: - Demonstrated experience in data annotation, preferably in LiDAR 3D point cloud processing. - Familiarity with LiDAR annotation tools such as Labelbox, Supervisely, Scalabel, or similar platforms. - Understanding of 3D geometry, spatial awareness, and object classification. - Basic knowledge of autonomous driving datasets and labeling standards would be advantageous. - Strong attention to detail with the ability to precisely follow instructions. - Excellent communication and teamwork skills. Preferred Qualifications: - Proficiency in using 3D visualization software like Blender, CloudCompare, Open3D. - Knowledge of machine learning concepts and dataset preparation. - Previous involvement in autonomous vehicle projects. If you choose to join us, you will: - Engage in cutting-edge AI-driven healthcare innovations. - Contribute to advancements in medical research and disease detection. - Collaborate within a work environment alongside healthcare and AI experts. Please note that the benefits include paid sick time, paid time off, and the work location is in person.,

As AI-driven solutions expand across industries, ensuring the fidelity of training and evaluation datasets is essential for building reliable models. TaskUs needs a diligent, detail-focused Data Quality Analyst who can maintain annotation standards and drive continuous improvements so that essential AI data remains accurate, efficient, and scalable. The impact youll make: Guard data integrity through audits: Conduct quality audits on annotated datasets against established guidelines and statistical benchmarks (e.g., F1 score, interannotator agreement) to uphold data reliability. Pinpoint and resolve annotation issues: Analyse error patterns, edge-case annotations, and root causes to surface insights and elevate annotation quality. Optimise annotation processes: Become proficient in annotation and QA tools, propose automation, and maintain clear documentation of quality standards, guidelines, and procedures. Collaborate and coach: Work closely with stakeholders and annotators to clarify requirements, provide constructive feedback, and support skill development within the annotation pipeline. Track and communicate quality performance: Regularly report on data quality metrics, key findings, and actionable insights to drive continuous improvements across projects. Data Quality Analyst Responsibilities: Data Analysis Quality Audits Perform quality audits on annotated datasets to ensure that they meet established guidelines and quality benchmarks. Statistical Reporting Leverage statistical based quality metrics such as F1 score and inter-annotator agreement to evaluate data quality. Root Cause Analysis Analyse annotation errors, trends, project processes, and project documentation to identify and understand the root cause of errors and propose remediation strategies. Edge-Case Management Resolve and analyse edge-case annotations to ensure quality and identify areas for improvement. Tooling Become proficient in using annotation and quality control tools to perform reviews and track quality metrics. Guidelines Become an expert in the project specific guidelines and provide feedback for potential clarifications or improvements. Continuous Improvement Automation Identify opportunities to use automation to help enhance analytics, provide deeper insights, and improve efficiency. Documentation Develop and maintain up-to-date documentation on quality standards, annotation guidelines, and quality control procedures. Feedback Provide regular feedback that identifies areas for improvement across the annotation pipeline. Collaboration & Communication Cross-Functional Teamwork Work closely with key project stakeholders and clients to understand project requirements and improve annotation pipelines. Training Assist with training annotators, providing guidance, feedback, and support to ensure data quality. Reporting Provide regular updates that highlight data quality metrics, key findings, and actionable insights for continuous process improvements. Required Qualifications Bachelors degree in a technical field (e.g. Computer Science, Data Science) or equivalent practical experience. 1+ years of experience as a data analyst with exposure to data quality and/or data annotation - ideally within an AI/ML context. Familiarity with the basic concepts of AI/ML pipelines and data. Strong analytical and problem-solving skills with an exceptional eye for detail. Excellent written and verbal communication skills, with the ability to clearly articulate quality issues and collaborate with diverse teams. Ability to work independently and manage time effectively to meet deadlines. A strong problem-solver who thinks critically and drives innovation and continuous optimization. A quick learner with the ability to work independently in a fast-paced environment. A strong focus on detail, balanced against strategic priorities. A positive can-do attitude and the ability to easily adapt to new environments. Not afraid to speak up. Preferred Qualifications Familiarity with data annotation tools (e.g. Labelbox, Dataloop, LabelStudio etc.). Experience working with multi-modal AI/ML datasets (images, videos, text, audio). Prior experience in an agile or fast-paced tech environment with exposure to AI/ML pipelines. Knowledge of programming languages (e.g. Python). Knowledge of the concepts and principles of data quality for AI/ML models and the impacts it can have on model performance. Working understanding of common quality metrics and statistical methods used in AI/ML data quality. Knowledge of AI/ML concepts and experience with data for AI/ML models. Experience in prompt engineering and leveraging LLMs in your day-to-day work.

Data Annotator (1-Month Contract) About the Role: We are looking for detail-oriented individuals to join us as Data Annotators for a short-term project. The role involves reviewing and annotating video content accurately to support our AI/ML data requirements. Key Responsibilities: -Annotate video data as per given guidelines. -Ensure accuracy, consistency, and quality of annotations. -Meet daily/weekly targets and maintain timelines. Requirements: -Basic computer knowledge and comfort with online tools. -Attention to detail and ability to follow instructions carefully. -No prior experience required. Duration : 1 Month Contract

Dear Candidates! We're Hiring Computer Science Graduates for a Top Artificial Intelligence Multinational Company Project Duration - 1 year Position or Designation : Associate Process Executive Mode : Work From Home (WFH) Should have Mandatory Own Laptop or Desktop with (i5 processor, 2.0GHZ, 8GB RAM, windows 10) Internet or Wi-Fi Speed Should be there at least 60 Mbps Qualification (Mandatory) : BCA (CS), BSc (Computers), BE/BTech (Computer Science, ECE,EEE, ), MSc (Computers), MCA (Computers) Role & responsibilities - Data Annotation / Video Labeling Required 0-2 year Experience with Degree in Computer Science required For Autonomous Cars technology: Validating, Video Labeling for Autonomous cars /Chassis control Systems in Automated cars and trucks. Infrastructure for video sequences of a camera mounted autonomous capable Cars. Synchronizing recorded video files to master database, annotation of images It deals with finding Road signs, Lane, Lights, Pedestrians, Vehicles, Infrastructure in video sequences of a camera mounted on the front of a car. Supporting team members with issues while labeling video. Preferred candidate profile Qualification (Mandatory) : BCA (CS), BSc (Computers), BE/BTech (Computer Science, ECE, EEE, ), MSc (Computers), MCA (Computers) Should have Mandatory Own Laptop or Desktop with (i5 processor, 2.0GHZ, 8GB RAM, windows 10) Internet or Wi-Fi Speed Should be there at least 60 Mbps Interested Candidates Fill the below details and share your resume attachement to My Email ID - s.arunkumar@randstad.in How to Apply: Questions to Fill and Apply:- First Name: Middle Name: Last Name: Date of Birth: Do you have your Own Laptop or Desktop with (i5 processor, 2.0GHZ, 8GB RAM, windows 10)? - Are you comfortable doing Work from Home? - Your Qualification (Degree in Computers)? - Year of Passing? - Current location?: Synopsis(About yourself)? - Please share you resume attachment with your Photo attached? - EMAIL ID - s.arunkumar@randstad.in

Dear Candidates! We're Hiring Computer Science Graduates for a Top Artificial Intelligence Multinational Company Project Duration - 1 year Position or Designation : Associate Process Executive Mode : Work From Home (WFH) Should have Mandatory Own Laptop or Desktop with (i5 processor, 2.0GHZ, 8GB RAM, windows 10) Internet or Wi-Fi Speed Should be there at least 60 Mbps Qualification (Mandatory) : BCA (CS), BSc (Computers), BE/BTech (Computer Science, ECE,EEE, ), MSc (Computers), MCA (Computers) Role & responsibilities - Data Annotation / Video Labeling Required 0-2 year Experience with Degree in Computer Science required For Autonomous Cars technology: Validating, Video Labeling for Autonomous cars /Chassis control Systems in Automated cars and trucks. Infrastructure for video sequences of a camera mounted autonomous capable Cars. Synchronizing recorded video files to master database, annotation of images It deals with finding Road signs, Lane, Lights, Pedestrians, Vehicles, Infrastructure in video sequences of a camera mounted on the front of a car. Supporting team members with issues while labeling video. Preferred candidate profile Qualification (Mandatory) : BCA (CS), BSc (Computers), BE/BTech (Computer Science, ECE, EEE, ), MSc (Computers), MCA (Computers) Should have Mandatory Own Laptop or Desktop with (i5 processor, 2.0GHZ, 8GB RAM, windows 10) Internet or Wi-Fi Speed Should be there at least 60 Mbps NOTE : Applications will be considered only if submitted through the below link Copy and paste the below link in another tab and fill the details to proceed further Job Application Link : https://forms.gle/AinhaojfspyRB5zH8

Hi We have an excellent opportunity for Freshers & Experienced with a US based AI based company If you are interested , Please share your CV to vivitha.d@randstad.in Exp: 0- 3 Years Below are Mandatory Excellent communication own Laptop. I5 processor with speed 2Gzh or above, 8GB RAM, Licensed Windows 10), Internet speed(100MBPS) Wifi Mobile- Android Version 15 or Apple IOS 16 Mode of work: Remote Shift- Day Shift Type of Employment Contract (Duration 1+ year extendable basis the performance and project need) Payroll company: Randstad India Pvt Ltd NO monetary charges included for interview or for joining Job Description: Engineers with 0-2 year Experience required with Degree certificate required for Autonomous Cars technology: Validating, Video Labeling for Autonomous cars / Chassis control Systems in Automated cars and trucks. Infrastructure for video sequences of a camera mounted autonomous capable Cars. Synchronizing recorded video files to master database, annotation of images It deals with finding Road signs, Lane, Lights, Pedestrians, Vehicles, Infrastructure in video sequences of a camera mounted on the front of a car. Supporting team members with issues while labeling Video.

As a writer at Objectways, your primary responsibility will be to craft compelling and clear content that effectively communicates Objectways" expertise to a global audience. Working closely with the sales, marketing, and design teams, you will be instrumental in creating materials that support lead generation, establish thought leadership, and enhance client engagement. Your day-to-day tasks will involve writing and editing various marketing materials such as blog posts, case studies, whitepapers, and website content. Additionally, you will collaborate with the sales team to develop outreach templates, email campaigns, and client-facing documents. Ensuring brand voice consistency across different platforms like decks, proposals, one-pagers, and social media will be crucial in this role. One of the key aspects of your role will be to translate complex technical topics related to AI, ML, annotation, and data quality into easily understandable and engaging language for both technical and non-technical audiences. Your ability to simplify and explain these technical concepts will be essential in creating impactful content. To excel in this role, you should have proven experience as a writer, content creator, or copywriter, with a portfolio showcasing your work. A strong command of English grammar and style is necessary, along with experience in writing for B2B, SaaS, or technology audiences. Familiarity with SEO principles and digital publishing platforms will be advantageous. Ideally, you should have a background in AI, data science, or related technical fields. Experience in writing for sales enablement and marketing campaigns, as well as the ability to conduct and integrate interviews with subject matter experts into content, would be valuable assets in this role. If you are passionate about writing, possess strong collaboration and communication skills, and are eager to contribute to Objectways" position as a thought leader in the industry, we encourage you to apply for this exciting opportunity.,

DESCRIPTION In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to making zero happen - zero cost of returns, zero waste, and zero defects - to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items get the most value out of Amazon's products improve the customer returns experience and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. Amazon is Earth's most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team! We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development - all helping to delight our customers through new experiences throughout their Amazon shopping journey. Need candidates in language proficiency in: German Key job responsibilities . Work closely with our product, technology, and science teams to support Machine Learning (ML) models . Perform data annotation required to train and evaluate ML models effectively . Support data scientists in the development of classification algorithms . Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines . Maintain high-quality standards for annotated data to optimize model performance . Continuously evaluate and improve annotation processes to enhance efficiency and accuracy . Strong analytical skills and the ability to deep-dive on complex problems . Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills BASIC QUALIFICATIONS Bachelor's degree Speak, write, and read fluently in Italian Experience with Microsoft Office products and applications 1+ years of proven experience in data annotation and labeling for ML model training and evaluation Minimum B2 Language Proficiency required PREFERRED QUALIFICATIONS Experience working on the MTurk platform for data annotation tasks Proven experience in data annotation and labeling for ML model training and evaluation Understanding of data annotation methodologies and tools Familiarity with Amazon's product and category ecosystem Previous exposure to machine learning concepts and algorithms Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to making zero happen - zero cost of returns, zero waste, and zero defects - to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items get the most value out of Amazon's products improve the customer returns experience and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. Amazon is Earth's most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team! We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development - all helping to delight our customers through new experiences throughout their Amazon shopping journey. Need candidates in language proficiency in: German Key job responsibilities . Work closely with our product, technology, and science teams to support Machine Learning (ML) models . Perform data annotation required to train and evaluate ML models effectively . Support data scientists in the development of classification algorithms . Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines . Maintain high-quality standards for annotated data to optimize model performance . Continuously evaluate and improve annotation processes to enhance efficiency and accuracy . Strong analytical skills and the ability to deep-dive on complex problems . Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills BASIC QUALIFICATIONS Bachelor's degree Speak, write, and read fluently in Spanish Experience with Microsoft Office products and applications 1+ years of proven experience in data annotation and labeling for ML model training and evaluation Minimum B2 Language Proficiency required PREFERRED QUALIFICATIONS Experience working on the MTurk platform for data annotation tasks Proven experience in data annotation and labeling for ML model training and evaluation Understanding of data annotation methodologies and tools Familiarity with Amazon's product and category ecosystem Previous exposure to machine learning concepts and algorithms Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Hiring for Lidar Trainer || Coimbatore || 8 lap || WFO || Eligibility : 4 to 7 Experience in LiDAR Annotation / Training Current Role : Team Lead / SME / Senior Analyst Salary: 7LPA to 8 LPA (Max) Graduation is Mandate Location: Coimbatore Notice period : Immediate to 30 Days Intrested can drop their Cv to HR Bhavana - 8374730176

About Objectways Objectways is a generative AI and data annotation company specializing in generative AI, NLP, computer vision, content moderation, and human-in-the-loop solutions. We collaborate with leading enterprises across industries to enhance AI models and decrease costs through top-notch data services. Role Overview We are in need of a writer who can craft clear, engaging, and persuasive content that effectively conveys Objectways" expertise to a global audience. The writer will collaborate closely with the sales, marketing, and design teams to develop materials that bolster lead generation, thought leadership, and client engagement. Responsibilities Write and revise marketing content, such as blog posts, case studies, whitepapers, and website copy. Work with sales to create outreach templates, email campaigns, and client-facing documents. Ensure consistency of brand voice across decks, proposals, one-pagers, and social media. Translate intricate technical subjects (AI, ML, annotation, data quality) into engaging language suitable for both technical and non-technical audiences. Assist in crafting internal communications (playbooks, training docs, SOPs). Research industry trends and integrate them into content to establish Objectways as a thought leader. Requirements Demonstrated experience as a writer, content creator, or copywriter (portfolio required). Proficient in English grammar and style. Ability to simplify and elucidate technical concepts. Experience in writing for B2B, SaaS, or technology audiences is advantageous. Familiarity with SEO principles and digital publishing platforms. Strong collaboration and communication capabilities. Nice to Have Background in AI, data science, or related technical fields. Experience in writing for sales enablement and marketing campaigns. Capability to conduct and integrate interviews with SMEs into content.,

You are invited to attend a walk-in interview on 21st June 2025, at YMCA International Centre, Glamour Banquet, Sarkhej Gandhinagar Highway, Ahmedabad, Gujarat 380015. The walk-in timings are from 10:00 AM to 5:00 PM IST for the position of Annotation Analyst (Back Office/Non Voice) in Gandhinagar, Gujarat. As an Annotation Analyst, you will be a crucial part of our team, contributing to the training of machine learning models by accurately labeling and annotating various types of data including images, text, audio, or video. Your role will involve collaborating with machine learning engineers and data scientists to meet annotation requirements and maintain data quality. Key Responsibilities: - Annotating and labeling datasets accurately using specialized tools and guidelines - Reviewing and correcting existing annotations to ensure data quality - Collaborating with the team to understand annotation requirements - Demonstrating strong attention to detail and visual-spatial understanding - Utilizing basic image editing or annotation tools effectively - Working in a back office environment with a non-voice role - Applying problem-solving skills and maintaining high levels of accuracy and efficiency - Meeting project deadlines and providing feedback for workflow improvement - Having familiarity with floor plans and interior layouts - Possessing knowledge of 3D modeling or related software tools Requirements: - Education Qualification: Any Graduate, Post Graduate - Certification in AutoCAD, VFX, Graphic Designing, or Photoshop - Strong attention to detail and ability to follow complex instructions - Basic computer skills and familiarity with data entry or annotation tools - Quick learner with openness to feedback - Freshers are welcome to apply - Good communication skills and the ability to work independently or in a team - Willingness to work in a 24/7 environment, including night shifts and rotational weekends Perks and Benefits: - Salary: 2.50 LPA - Medicare Benefits - Both side cab facilities - Medical Insurance - Life Insurance If you are a fresh graduate eager to kickstart your career in the AI and data annotation field, this could be the perfect opportunity for you. We look forward to meeting you at the walk-in interview and discussing how you can contribute to our team.,

Hiring for LiDAR Trainer Autonomous Vehicles Eligibility: 4 to 7 Experience in LiDAR Annotation / Training Current Role: Team Lead / SME / Senior Analyst Salary: 7LPA to 8 LPA (Max) Location: Coimbatore Virtual Interviews NP: 060 Days Interested Candidates Can Share their resume to :- HR Suvarna 7095162832

B. Sc / M. Sc Optometry, with minimum 55% or equivalent GPA Minimum one-year experience in AI in Ophthalmic Imagology, Optic nerve imaging, Annotation Good writing/communication skills in English

The Data and AI Governance Leader will play an integral role in orchestrating the governance council and ensuring compliance with governance policies in data, analytics, and AI. Your participation will be instrumental in defining a robust Data and AI Governance Framework, codifying organizational and industry policies into standards, procedures, and technical controls to ensure effective, ethical, and legal use of Data & AI technologies. This leadership position is critical in providing strategic and thought leadership across the company's policies, standards, and procedures related to Data preparation, Data management, Model development, Evaluation, Deployment, Monitoring, and Corrections. You will work closely with legal, ethical, security, branding, IS, and administrative teams, acting as a bridge between policy defining teams and execution teams to define compliance frameworks, risk assessment frameworks, and foster collaboration to implement repeatable, consistent, and efficient practices. You will also facilitate data literacy and training about key information assets across the organization. It is expected that you have a deep industry understanding and expert practitioner experience with governance, including successfully running executive-level governance councils. You will be accountable for strengthening Data and AI governance capabilities in the region to cater to Providence and other partnering health systems. You will provide thought leadership in the development and implementation of data and AI governance strategies aligned with the company's vision and goals. Staying current on existing and evolving Data & AI governance laws and regulations to revise existing policies and procedures and drive alignment with the Organization's Governing Principles will be a key responsibility. Collaborating with compliance, legal, cyber, and other cross-functional teams as needed to ensure Data and AI initiatives comply with relevant laws and regulations is essential. Establishing technical guidelines and frameworks for the development, deployment, and operations teams to assess and manage AI risks will also be part of your duties. Additionally, you will collaborate with executive leadership to define and prioritize governance initiatives and act as a liaison between technology teams and legal, ethical, security, branding, IS, and administrative teams to ensure alignment and effective communication. Your role will involve collaborating with stakeholders from different pillars to lead the setup and structuring of Data & AI governance framework for the Organization. Leading cross-disciplinary teams to ensure alignment and effective implementation of Data & AI governance policies and procedures, overseeing the implementation and maintenance of governance processes for data preparation, management, model development, evaluation, deployment, monitoring, and correction, ensuring the integrity, quality, and security of data and AI models across all stages, and working with the Business, Ethics, and Compliance teams to establish auditable controls and monitor compliance to governing principles are all part of your leadership responsibilities. You will also be responsible for establishing and maintaining clear lines of accountability to ensure compliance with governance standards, creating and maintaining auditable artifacts to document adherence to governance policies and procedures, identifying areas for improvement within the governance framework and driving initiatives to enhance efficiency and effectiveness, conducting risk assessments, identifying potential risks associated with AI usage, defining mitigations, establishing auditable controls, and being the face of Data and AI COE for internal and external audits. Developing training and educational programs that help embrace governance as a way of working will also be part of your duties. Translating company policies, standards, and procedures into actionable technical standards and guidelines, developing frameworks and tools to ensure adherence to governance policies throughout the data and AI lifecycle will also be among your responsibilities. Professional Experience / Qualifications: - Bachelors/ Masters in STEM / Healthcare areas of specialization. - 14+ Years of relevant industry experience. - 5+ Years of hands-on experience in the Data Governance and pillars areas like DQ, MDM, Data Annotation etc. - 3+ years of experience leading high-performing Data / AI Governance teams- hiring, building, and growing. - Strong knowledge of governance principles, privacy laws, and industry-specific regulations (e.g., GDPR, HIPAA, FCRA). - Proven track record of leading Data and AI governance processes in a highly regulated enterprise, preferably in the Healthcare sector. - Deep understanding and working experience of AI/ML, data management systems, regulatory frameworks, and ethical AI practices. - Experience working with cross-functional teams, including data science, engineering, legal, and compliance. - Deep technical understanding of AI systems, model lifecycle management, and associated risks. - Ability to navigate complex regulatory environments and provide pragmatic solutions to governance challenges. - Expertise in risk management frameworks, audit processes, and AI/ML validation techniques. - Any certifications related to Data Governance, AI Governance, Data Management will be good to have. - Knowledge of Healthcare Industry and Any Certifications in Healthcare will be good to have. This is an individual contributor role.,

Experience managing complex projects in data annotation, AI/ML operations,Deep understanding of data labeling workflows, platforms (e.g., Labelbox, CVAT), and annotation tools,Experience across modalities like image, text, and speech, Required Candidate profile you’ll be the operational SPOC of our AI projects, process, and precision, leading teams that annotate text, images, audio, and video for cutting-edge machine learning systems

Both Experience and Freshers can apply Freshers (18-20k inhand) experience 6m( upto 23k inhand) 5 days working Grads only Rotational shifts and offs Both side cabs Required Candidate profile - Good Communication Skills Required - Location : Gurugram

Freshers can apply too (18-20k inhand) experience 6m( upto 23k inhand) 5 days working Grads only Rotational shifts and offs Both side cabs Required Candidate profile - Good Communication Skills Required Location : Gurugram

Both Freshers and Experience can apply Freshers (18-20k in hand) experience 6m( upto 23k in hand) 5 days working Grads only Rotational shifts and offs Both side cabs Required Candidate profile - Good Communication skills required - Location : Gurugram

Both Freshers and Experience can apply Freshers can apply too (18-20k in hand) experience 6m( upto 23k in hand) 5 days working Grads only Rotational shifts and offs Both side cabs Required Candidate profile - Good Communication skills required - Location : Gurugram