Total 183 data entry clerk job vacancies in The Philippines

• Collaborate closely with the engineering team to understand business and operational challenges.
• Identify opportunities and implement solutions using 4IR (Fourth Industrial Revolution) technologies.
• Focus on data engineering, automation, and analytics.
• Perform full-stack development, including SQL and Python.
• Apply a solid working knowledge of both shallow and deep machine learning methods.

Responsibilities

• Assures all vendor-related masterdata are aligned with onboarding documents and post-live updates.

• Use SQL to pull, build, and model vendor-related data to be able to streamline vendor payment processes and effectively implement business contracts.

• Build and optimize dashboards, and tools, and automate infrastructure that provide insights to vendor performance and business trends.

• Assists Finance Business Process Team in resolving payments or billing disputes caused by incorrect vendor data.

• Serves as business analyst for foodpanda wide project initiatives and implementations.

Requirements

• Desire to create an impact, in joining a fast-growing organization while working with an agile team

• Demonstrate the ability to understand situations, identify and analyze persisting problems and collaborate with team members in creating solutions.

• Graduate of a degree in Business, Information Systems, Industrial Engineering, or equivalent

• Knowledgeable in SQL and/or Data Visualization Tools is a plus but not required.

• Proficiency in using microsoft office and google suites as analytics tools is a plus but not required

• Open for recent graduates. 

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

The Senior Software Engineer develops, implements, and maintains software solutions that enable business operations to realize company goals & objectives. The incumbent performs analysis, design, coding, debugging, testing, and support of software applications.  May be assigned to develop new applications/systems, enhance/upgrade existing systems or provide production support.  He/she works independently on moderately complex projects, receiving only general direction. May provide assistance and direction to less experienced peers.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to accurately capture stakeholder requests and system specifications and translate them into engineering artifacts, which typically include design specifications, source code, test scripts and test results.
• Coordinates with software architects and Software engineer IVs to ensure that the engineering realization is in accordance with Enterprise Architecture principles and software development best practices.
• As part of Agile teams, completes software development work which includes application design, coding, code review and testing. Keeps Agile team and APM apprised of project status.
• Offers suggestions to stakeholders on devising effective and efficient approaches to achieve project and program objectives.
• Manages engineering risks by proactively tracking and communicating issues, and devising methods to mitigating them.
• Liaises with other project and program areas to coordinate interdependencies and resolve issues.
• Supports business units in the resolution of in-depth user questions and issues following production support process and SLA’s.
• Maintains a working knowledge of new technology and software engineering standards, practices and tools.
• Provides input to APM/DPM in creation of Product Roadmap, High Level Estimates
• Collaborates with IT management to define and develop documentation & engineering artifact standards, guidelines, processes, and templates.

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

Eram Talent is a leading Talent Acquisition Company, providing recruitment solutions to clients in the Oil & Energy industry. We are currently looking for a Plant Maintenance Master Data Maintainer for a client based in Saudi Arabia. As a Plant Maintenance Master Data Maintainer, you will be responsible for managing and maintaining the master data related to plant maintenance activities.

If selected, your job location would be Saudi Arabia.

Responsibilities

• Create and maintain master data related to plant maintenance in the system
• Ensure the accuracy and completeness of plant maintenance data, including equipment, spare parts, work orders, and maintenance schedules
• Collaborate with maintenance teams to validate and update maintenance data
• Perform data analysis and identify data discrepancies or inconsistencies
• Develop and implement data quality improvement initiatives
• Provide training and support to end-users on master data management processes and tools
• Ensure compliance with data governance policies and procedures

• Bachelor's degree in Engineering or a related field
• Over 10 years of Experience in SAP system PRC Master Data Maintainer Proficiency, Subject Matter Expert for all SAP Plant Maintenance Equipment and Functional
• Diversified experience in Oil, Gas, Refinery or Gas Power Plant; work experience with a maintenance organization , Six (6) years of experience in at least one craft, Minimum Years in the Special Field  6+ years
• Proficiency in using EAM or CMMS systems
• Strong analytical and problem-solving skills
• Attention to detail and accuracy
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Knowledge of plant maintenance processes and best practices
• Understanding of data governance principles

About Pearl:

At Pearl, we redefine overseas hiring by cultivating Filipino talent. Our rigorous qualification program and exclusive upskilling opportunities pave the way for our candidates' prosperous future at no cost. We scout the brightest individuals, equip them with superior skills, and connect them with high-profile roles. Join us as a driven, ambitious individual and work directly with executives, evolving as their indispensable partners. Are you ready for this transformative challenge?

Note: Please avoid submitting multiple applications; you may request assistance to be re-profiled for a different job opening. If you have an ongoing application, please ask for updates from the team handling your application.

About the job:
Role: Data /Quality Assurance Analyst
Work schedule: Full Time | 40 hours per week | 10 AM to 7 PM Philippine Time
Salary Range: US$ 1,100.00 - US$ 1,500.00 per month (Dependent on your skills and experience)

About the Role:

As a Data & Quality Assurance Analyst, you'll play a vital role in ensuring the accuracy and integrity of our data. Your responsibilities will span data collection, quality control, AI content review, and more. This role offers a unique opportunity to work with cutting-edge AI and automation tools while contributing to a valuable information resource.

The Data & Quality Assurance Analyst will report to the Founder, with a dotted line to the Chief Technology Officer.

Duties and Responsibilities

• Company Research: Utilize web research and data entry tools to gather and verify company information.
• Data Quality Assurance: Ensure the accuracy and completeness of collected data through meticulous quality checks.
• AI Integration:
• Review and refine content generated by AI algorithms, helping to optimize their performance.
• Craft and improve prompts used to guide AI data collection and content creation.
• Technical Skills:
• Utilize web scraping and data extraction tools to efficiently gather information.
• Gain basic familiarity with the backend operations of our client’s content management system.
• Possess a willingness to learn and apply basic Excel formulas for data analysis.
• Content Review:
• Perform quality control on AI-generated blog posts, ensuring they meet publication standards.
• Proofread and edit written content and documentation to maintain high quality.

• At least 1 year of proven experience in data (data entry, research), especially working with large datasets.

• Ideally familiar with the world of startups and/or venture capital investment.
• Excellent written and verbal English communication skills.
• Keen eye for detail and a commitment to quality assurance.
• Comfort with repetitive tasks like data collection, data quality, data entry, data research.
• Curiosity and interest in AI and automation technologies.
• Technical aptitude with a willingness to learn new tools and processes.
• Self-motivated and results-oriented with a "get things done" attitude.
• Ability to work independently and collaboratively within a team.
• Comfortable working in a startup environment.
• Tools: Excel, Google Workspace, WordPress (back-end), AI and automation tools, Slack

• Fully remote forever–work from anywhere!

• Competitive net salary with opportunity to be paid above median market rate.
• 28 days paid time off (including public holidays)
• Exposure to cutting-edge AI and automation tools
• Opportunity to work with a dynamic and growing team in the exciting world of B2B data
• Access to learning and development resources for continuous growth and improvement

Data validation is a live data check performed multiple times during the survey fielding. It is performed to ensure that the survey data matches the survey materials. Identify potential fraudulent respondents that failed the data quality checks and report them. These are subsequently excluded from the final survey data providing ultimate quality data to our clients.  

A successful candidate needs to demonstrate existing experience in data validation area using SPSS scripts or Quantum. 

ESSENTIAL DUTIES AND RESPONSIBILITIES: including, but not limited to the following: 

• Data validation: 100% accuracy 

• Understand data structure. 

• Write programs/scripts to check the data for any errors using tools like SPSS or Quantum. 

• Basic knowledge of Confirmit/Decipher platforms. 

• Pro-active communication: 100% meet deadlines 

• Handle multiple projects independently and deliver error free output. 

• Review project requirements and execute projects independently as per requirements. 

Pimary Functions

Provides Daily, Weekly and Monthly Sales Reports; manage B2B Portal system updates and processing uploads; Data processing and maintaining accurate Material Master & Customer Master Data; Manage SCS3 Help Inbox; Pricing uploads in PT “Promo tool” system & SAP; Additional tasks and responsibilities as directed by Senior Management

Key Roles

• Routine Daily, Weekly and Monthly Sales Reports for the following, Sales Dashboard; Backorder Report; Inventory Count; Material and Master Date Errors; Sell Out Report Retail Customers)
• Create & Maintain customer Extranet accounts suing B2B Portal
• Create, maintain & support Material Data including New Materials, Material determinations; exclusions & inclusions; Maintain Customer master data within SAP; Initiate the set-up and processing all new customers within PT.SCS3 Help; Review queries in SCS3 help inbox and ensure timely feedback & action; Escalate reoccurring issues
• Ensure all current and upcoming promotions are uploaded in a timely and acceptable manner without error within Promo Tool
• List & Contract Pricing loaded without error in SAP
• Additional tasks and responsibilities as directed by Senior Management
• Ensure all processes are followed and all incidents are reported accordingly

• Ensure participation in CIP and Leadership Training Programs as required

Responsibilities

• Develop predictive models using supervised and unsupervised machine learning/deep learning
• Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection
• Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets
• Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development Teams
• A self-starter who can align the technology solution with a business goal

Position Type :

Type Of Hire :

Education Desired :

Travel Percentage :

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

WHAT YOU WILL BRING:

• Must have skills/tools/experience – Experience/knowledge with Data transmission (transmission protocols FTP, FTP/SSL, FTP/SSH, HTTPS)

• , Windows Server Administration, and Customer & technical support experience.

• Nice to have skills/tools/experience - Moveit experience and Mainframe Datasets are a plus. Ability to work in a rotating schedule and able to work with minimum supervision.

• At least 4 years of relevant work experience

• Must be willing to work on a hybrid setup (2-3 times a week onsite). Office location is at Ecoplaza Bldg, Makati City (located near Magallanes MRT Stations, EDSA)

• Must be willing to work on a night shift (9:00pm to 6:00am) and weekdays off. We operate 24x7

• College undergraduates or associate degree holders with relevant work experiences are welcome to apply

• Experience in MoveIT tool or other similar file transfer tools

• Problem Solving and programming skills are beneficial, VB scripting.

• Attention to Detail, Design and following standards to facilitate large system operation.

• Experience application production support and Monitoring tools

• Experience with high volume batch transmission systems is beneficial.

• Good knowledge in Server to Server connectivity

• Knowledge in Operating System

• Knowledge in Scheduler

• Knowledge in Server to Server communication

• Good communication skills

• Knowledge in Data Transfers / Migration

• Knowledge in Scripting

• Good understanding of IP networking

• Knowledge in SFTP

• Knowledge in ITIL Service Management process

WHAT YOU WILL BE DOING:

• Confirms data transfer requirements by reviewing ticket/project objective, input data, and output requirements with analyst, supervisor, client or vendors

• Arranges data transfer requirements in analyzing requirements; preparing a process and completing documentation adhering to standards

• Accomplishes testing of data transfer configurations as required by ticket/project requirements

• Confirms implementation of production interfaces as required by ticket/project.

• Maintains client confidence and protects operations by keeping information confidential

• Ensures operation of systems by following instructions; troubleshooting malfunctions; making changes to process/documentation as needed for on-call support

• Contributes to national team effort by accomplishing related results as needed

• Knowledge of MOVEit system and transmission protocols FTP, FTP/SSL, FTP/SSH, HTTPS. Problem Solving and programming skills are beneficial, VB scripting. Attention to Detail, Design and following standards to facilitate large system operation.

• Experience with high volume batch transmission systems is beneficial.

WHAT WE OFFER:

• A competitive salary and benefits

• Great workspaces with dedicated and motivated colleagues

• A variety of career development tools, resources & opportunities

#LI-JO1

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

#pridepass

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Strategic Analytics is a growing team at Arch that has established itself as a driving force in the success of the business. We focus on implementing real-time analytic solutions that improve profitability and growth. To broaden our impact, we have expanded our focus to deliver business-driven intelligent data automation capabilities that combine data from external vendors with intelligent document processing (IDP) technologies. This includes working with artificial intelligence/machine learning, NLP, OCR, generative AI, and algorithmic-based solutions.

As a key member of the Strategic Analytics team, you will support the solution definition, build and implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams.  You will apply the right mix of technologies across the underwriting and claims functions.

Job Responsibilities

• Deliver automated document extraction and data enrichment solutions.

• Manipulate data using Python or SQL Server; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
• Manually label and validate small training data sets.
• Develop round-trip data flows that prepare data for IDP and format the results for analytical purposes
• Collaborate with experienced modelers to build predictive models and analytic solutions using Python; apply techniques such as decision trees and clustering.

• Under supervision use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources (e.g., loss history reports, insurance applications, claim files, application scraping using OCR/ generative AI, etc.).
• Create technical documentation to archive end-to-end processes.

• Design, build, and maintain scalable data pipelines using PySpark and Databricks
• Optimize data processing and storage for maximum performance and efficiency
• Troubleshoot and debug data-related issues, and implement solutions to prevent reoccurrence
• Collaborate with data scientists, software engineers, and other stakeholders to ensure that data solutions are aligned with business goals

We are looking for a talented Commercial Data Analyst to join our established team, focusing on leveraging our group-wide CRM platform, DealCloud (internally referred to as OneView). As a key member of the team, you will play a crucial role in optimizing our user interactions and leveraging our CRM platform (DealCloud) to drive business growth. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a deep understanding of CRM solutions to enhance user engagement and maintain data quality within the platform.

Responsibilities:

CRM Strategy Development

• Collaborate with cross-functional teams to design and implement effective CRM strategies aligned with business objectives.
• Analyze user trends and behavior to identify opportunities for CRM system enhancement.

Platform Management

• Contribute to the administration and maintenance of the CRM platform.
• Customize and configure the CRM system to meet specific business needs.
• Ensure data accuracy, consistency, and security within the CRM database.
• Ongoing management of predefined data points within the system to ensure all mandatory data is up to date.

Data Analysis and Reporting:

• Utilize data analytics to derive insights into user behavior, preferences, and trends.
• Generate regular reports to assess the performance of CRM initiatives and recommend improvements.
• Accountable for completing data hygiene tasks and related processes.

User Training and Support:

• Conduct training sessions for users on effective utilization of the CRM system.
• Provide ongoing support to users, addressing queries and troubleshooting issues.
• Ensure clear lines of communication to users to advise of updated data requirements in the client lifecycle and errors in data.

User Engagement Enhancements:

• Collaborate with commercial team to develop targeted user engagement strategies.
• Implement automated workflows and communication processes to enhance user interactions.                

Tasks (What does the role do on a day-to-day basis)

• Support Senior Business Analyst in management and hygiene of DealCloud data.
• Support users with data queries and the overall use of DealCloud from a commercial perspective.
• Completing data quality checks and implementing pre-defined processes.
• Work with the wider business to build relationships with users and promote best practice of DealCloud. 
• Responsible for maintaining relationships with key stakeholders across the broader group to support improvement and growth in system capability, reporting business needs to OneView Manager and technology owner.
• Responsible for developing standard communication to users to advise of updated data requirements in the client lifecycle and errors in data.

Sheladia Associates is seeking a professional Data Management Specialist to join our team for an upcoming, ADB funded Integrated Flood Resilience and Adaptation Project in Philippines.

The project aims to enhance: flood and climate change resilience that is consistent with the Philippines Development Plan of 2023-2028 (PDP). The project’s major outcome is to reduce flood risk in three river basins.

The individual will be responsible for the following tasks:

• Review existing information systems;
• Develop the detailed design of the hardware and software components of AMIS-FRM and prepare the TOR for AMIS-FRM application development;
• Support the system development contractor in the system and database design;
• Provide quality management of the AMIS-FRM applications;
• Develop manuals and training materials on the AMIS-FRM; and
• Provide training on the operation of the field data collection system and database management system to the DPWH staff.

Annotation drives AI’s capabilities

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling. Annotation Experts are not just regular performers; they are meticulous specialists ensuring the highest quality of data markup. As AI continues its upward trajectory, these experts lay the groundwork, paving the way for more reliable, responsible AI models.

Responsibilities:

• Quality assurance: review and verify the work done by regular performers; suggest improvements for better annotation quality
• Instructional guidance: formulate clear, effective task instructions for Tolokers
• Training creation: develop training tasks that guide Tolokers towards excellence

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level
• Has a keen eye for detail: precision is paramount in data labeling
• Is a dedicated performer who recognizes the importance of even routine tasks

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule
• Try your hand at an AI project and enrich your portfolio with new experiences

Annotation drives AI’s capabilities

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling. Annotation Experts are not just regular performers; they are meticulous specialists ensuring the highest quality of data markup. As AI continues its upward trajectory, these experts lay the groundwork, paving the way for more reliable, responsible AI models.

Responsibilities:

• Quality assurance: review and verify the work done by regular performers; suggest improvements for better annotation quality
• Instructional guidance: formulate clear, effective task instructions for Tolokers
• Training creation: develop training tasks that guide Tolokers towards excellence

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level
• Has a keen eye for detail: precision is paramount in data labeling
• Is a dedicated performer who recognizes the importance of even routine tasks

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule
• Try your hand at an AI project and enrich your portfolio with new experiences

Data Solutions works with new customers to set up their data in Subscript and verify everything is correct

The basics

• The product ✨: We're building the premier metrics-first finance platform that empowers B2B SaaS leaders to create, understand, and tell the story of their business through numbers.
• The role you'll play on our team:
• You'll be the first point of contact for new customers after they've signed on to Subscript

Like all start-ups we're scrappy, but not scrappy on compensation: Subscript is committed to paying our awesome team members at market-rate. We're funded by First Round Capital and backed by several angel investors in high-growth B2B SaaS companies (including Frank Bien, previous CEO of Looker)