data labeler

TELUS Digital Middle East FZ-LLC

Location: EMEA (Remote) Location: Other Arab Cities Remote / Work from home online job Industry: Information Services Function: Data Entry job Gender: Any Candidate Nationality: Any Job Type: Part-time / Full-time Remote Contract What You ll Do * Annotate, label, and categorize text, images, and documents for AI training datasets. * Collect and organize high-quality data for machine learning models. * Review, validate, and ensure accuracy and consistency of annotated data. * Collaborate with global remote teams to meet project milestones. * Provide structured and reliable data to support advanced AI applications. Ideal Profile * Strong attention to detail and ability to follow precise instructions. * Prior experience in data entry, annotation, or labeling is preferred but not required. * Basic knowledge of AI or machine learning is an advantage. * Proficiency in English with reliable internet connectivity. * Independent, flexible, and capable of working up to 10 hours daily.

AI Data Labeling

simultaneous geographical reality labs private limited

<ul><li>Perform data labelling and annotation tasks across multiple data types (images, text, audio, video).</li><li>Assist in Python-based data analysis and processing projects.</li><li>Contribute to the design, improvement, and documentation of data-related workflows.</li><li>Maintain data accuracy, consistency, and integrity throughout all stages of processing.</li><li>Collaborate closely with cross-functional teams to support data-driven initiatives.</li></ul>Job Types: Full-time, PermanentPay: &#8377;9,904.72 - &#8377;12,000.00 per monthWork Location: In person

Data Associate

You will play a vital role in improving AI systems worldwide by annotating, labeling, and organizing data.Location: EMEA (Remote)Location: Other Arab Cities Remote / Work from home online jobIndustry: Information ServicesFunction: Data Entry jobJob Type: Part-time / Full-time Remote ContractWhat You ll Do<ul><li>Annotate and label text, images, and documents to train AI systems.</li><li>Collect, organize, and validate datasets for machine learning projects.</li><li>Review data quality to ensure accuracy, precision, and consistency.</li><li>Collaborate with international remote teams to deliver on project milestones.</li><li>Contribute to AI advancements by providing high-quality annotated datasets.</li></ul>

AI Annotation Specialist

What You ll Do<ul><li>Annotate, label, and categorize text, images, and documents to power AI systems.</li><li>Collect and structure high-quality datasets for machine learning training.</li><li>Review and validate data to ensure consistency and accuracy.</li><li>Collaborate with global teams to achieve project targets.</li><li>Support the improvement of AI models through structured data processing.</li></ul>Why Join UsThis is a flexible remote job that allows you to work up to 10 hours daily (40 hours weekly) on your own schedule. It s ideal for those searching for data entry jobs in Dubai, part time jobs in UAE, online data entry jobs in Sharjah or Abu Dhabi, or work from home jobs in UAE for females. Competitive freelance pay, global exposure, and the chance to contribute to AI innovation make this an attractive opportunity for students, professionals, and part time job seekers.

AI Data Annotation Specialist

You will contribute directly to improving AI accuracy and performance by tagging and curating high-quality datasets.What You ll Do<ul><li>Annotate and label text, images, and documents for AI system training.</li><li>Collect, organize, and validate high-quality datasets.</li><li>Ensure data accuracy and consistency through quality review.</li><li>Work with a global remote team to meet project deadlines and deliverables.</li><li>Support AI model development with structured and reliable data inputs.</li></ul>

Online Work From Home Jobs AI Data Entry Projects

Nestlé USA

<div><div>Shift Engineer 
 
Location: Port Qasim Factory 
Company: Nestl&eacute; Pakistan 
Job Type: Full-time 
Experience: 1+ years
</div><div>Qualification: Mechanical/ Mechatronics/ Electrical Engineering degree or equivalent 
</div><div> 
Position Summary 
 
Provide support on Maintenance and Improvement (M&amp;I) professional and technical in the factory for operational activities, enforcing that all M&amp;I activities enhance business objectives, product quality and plant operation/performance while ensuring that people health and safety, product safety, and environment are never compromised.</div><div></div><div> 
A day in the life of Maintenance Engineer</div> 
<ul><li>
Have hands-on experience on Maintenance of Bottle Packaging Machines including high-speed blower, filler, labeler, shrink and palletizer machines.
</li><li>Have managed Maintenance Budget and develop the planned maintenances of the machines.</li><li>
Have an experience of planning, scheduling and maintenance of machines by ensuring No breakdowns and maximum efficiency</li><li>
Find the opportunities to replace the OEM parts with the Localization and find the opportunities to save maintenance costs by ensuring reliable operations.
</li><li>Participates in Capital Investments projects in the factory ensuring that the technical solution follows corporate and market standards and is delivered with expected quality, implementation</li><li>
Training of operators and maintenance crews
</li><li>Ensures Process &amp; Equipment safety for people, products, and environment with absolute intolerance for unsafe situations. Ensure that the Change Management is in place to appropriately manage modifications in the M&amp;I solutions. Ensure the application of the market and local M&amp;I related legislation.
</li><li>Ensures that all M&amp;I installations comply with market and corporate safety, health, environment, product safety and product quality standards.
</li><li>Must have good knowledge and understanding of AMM &amp; SAP.
</li><li>Controls, maintains, and optimizes the ROL of critical Spare parts</li></ul><div> 
</div><div>What Will Make You Successful</div> 
<ul><li>
Minimum 1-year Maintenance and Improvement experience
</li><li>Mechanical Engineering degree or equivalent</li><li>
Participation in the development of engineering projects as part of a multidisciplinary team (preferably including different products and technologies)</li><li>
Participation in the start-up of technical equipment(s) and/or production line(s)
</li><li>Exposure to TPM, preventive maintenance planning and/or maintenance execution desired.</li><li>
Self-Management following defined KPIs/Objectives, and proactively tracking them</li><li>
Personnel Supervision (of technical teams, contractors, or other 3rd parties)</li></ul></div>

Shift Engineer Port Qasim Factory

Mobileprogramming

Job Summary:We are looking for a talented and experienced Azure Data Engineer to join our data engineering team in Bangalore. As an Azure Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines, and working with Azure-based data services to ensure the seamless flow of data for analytical and operational purposes. The ideal candidate will have a strong understanding of Azure data platforms, data engineering practices, and be proficient in creating and optimizing data solutions using Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and other related Azure services.Key Responsibilities:<ul><li>Data Pipeline Development: Design, develop, and maintain efficient and scalable data pipelines in Azure Data Factory (ADF) to integrate data from multiple sources, process data, and load it into target systems.</li><li>Data Integration: Work with various data sources like SQL, NoSQL, Blob Storage, and data lakes to ingest and process data in an efficient and scalable manner.</li><li>Azure Data Services: Utilize Azure Synapse Analytics, Azure Data Lake, Azure SQL Database, Cosmos DB, and other Azure services to build and optimize data architecture and storage solutions.</li><li>ETL/ELT Development: Implement both ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes using Azure tools, ensuring data is processed accurately and efficiently.</li><li>Data Warehousing: Design and maintain cloud-based data warehousing solutions using Azure Synapse Analytics (formerly Azure SQL Data Warehouse) to support reporting, analytics, and data-driven decision-making.</li><li>Performance Tuning: Optimize performance of data pipelines and processes, ensuring they run efficiently, and troubleshoot performance issues.</li><li>Data Modeling &amp; Management: Develop data models for large datasets, ensuring proper schema design, partitioning, indexing, and data governance.</li><li>Automation &amp; Monitoring: Set up automated processes for data pipeline monitoring, error handling, and logging to ensure high data quality and reliability.</li><li>Security &amp; Compliance: Ensure that the data solutions are secure and comply with data privacy regulations (e.g., GDPR, HIPAA) using Azure Security features and best practices.</li><li>Collaboration: Collaborate with data scientists, business analysts, and stakeholders to understand data needs and ensure alignment of data engineering solutions with business objectives.</li><li>Documentation: Maintain comprehensive documentation for data architecture, pipelines, data models, and best practices.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field (or equivalent experience).</li><li>5+ years of experience in data engineering, with at least 3 years of hands-on experience working with Azure data platforms.</li><li>Strong proficiency in Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake.</li><li>Solid understanding of ETL and ELT processes and experience with building data pipelines on the cloud.</li><li>Proficient in SQL and experience with query optimization and performance tuning.</li><li>Experience with Azure Databricks, HDInsight, Cosmos DB, and other Azure-based data technologies is a plus.</li><li>Familiarity with Data Lake architectures and the ability to implement solutions for large-scale data processing.</li><li>Strong knowledge of data modeling, data warehousing, and data governance practices.</li><li>Experience working with cloud storage solutions, including Blob Storage and Data Lake Storage.</li><li>Knowledge of Power BI, Azure Analysis Services, or similar tools for data visualization and reporting is a plus.</li><li>Experience with Python, Spark, or Scala for data processing is highly desirable.</li><li>Familiarity with DevOps practices and tools (e.g., Azure DevOps) for data engineering deployments is a bonus.</li><li>Understanding of data security and compliance frameworks in cloud environments.</li></ul>Preferred Skills (Nice to Have):<ul><li>Azure Certification such as Microsoft Certified: Azure Data Engineer Associate.</li><li>Experience with machine learning models and AI workflows integrated with Azure data services.</li><li>Exposure to Big Data technologies such as Hadoop, Spark, or Kafka.</li><li>Familiarity with Agile development methodologies.</li><li>Knowledge of CI/CD pipelines for automating deployments of data engineering solutions.</li><li>Experience with DataOps for better management of data pipelines.</li></ul>Job Type: Full-timePay: &#8377;900,000.00 - &#8377;1,200,000.00 per yearWork Location: In person

Azure Data Engineer

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