Total 27 data entry job vacancies in malang malang city

Administrasi Gudang

About Us

INDICO is a digital technology subsidiary company of Telkomsel, Indonesia's leading digital telecom company. INDICO plays a strategic role as a holding company that houses current and prospective vertical digital business portfolios, including Kuncie (edu-tech), Fita (health-tech), and Majamojo (game). Moving forward, INDICO aims to explore opportunities in multiple verticals adjacent to Telkomsel’s digital businesses. As a digital platform company, INDICO aims to leverage Telkomsel’s digital assets and capabilities to create a flywheel effect of innovations to develop cross-sectoral digital solutions that will empower Indonesia’s digital economy.

We are looking for a talented Data Scientist to join our growing team. In this role, you will be responsible for analyzing complex data sets and deriving actionable insights to drive strategic business decisions. You will work closely with cross-functional teams and leverage your analytical skills to improve our digital offerings.

What you will do but not limited to:

• Analyze large datasets to identify trends, patterns, and anomalies.
• Design and build data models to support business objectives.
• Collaborate with product and engineering teams to implement machine learning solutions.
• Develop visualizations and reports to communicate insights effectively to stakeholders.
• Perform statistical analysis and predictive modeling.
• Continuously monitor and evaluate model performance.
• Stay updated with the latest trends and technologies in data science and analytics.

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
• Minimum 2-4 years of experience in data science or a related field.
• Strong proficiency in statistical analysis and data visualization tools (e.g., R, Python, SQL, Tableau).
• Experience with machine learning algorithms and frameworks.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong analytical and critical thinking skills.
• Ability to work collaboratively with cross-functional teams.
• Excellent communication skills in both English and Bahasa Indonesia.

Job Description:

You will play a key role in supporting our team by ensuring data accuracy and completeness. Your responsibilities will include:

• Adjust raw data to align with clients' templates and specifications.
• Utilize provided resources to fill in any vacant data fields.
• Reach out to campaign participants as needed to verify or gather additional information.

Requirements :

• Proficient in Microsoft Excel.
• Comfortable in working with numbers.
• Strong attention to detail.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Fresh graduates are encouraged, 1-2 years’ experience is a plus.
• Bachelor's degree in natural science, engineering, statistics, accounting, or mathematics preferred.
• Available to work a 3 to 6 month internship.
• Ready to work in a hybrid role; Monday and Friday (WFA); Tuesday, Wednesday, and Thursday (WFO) at Menara Sentraya, Blok M, South Jakarta.

Sebagai Data Entry Clerk for E-commerce di MAX FASHIONS, Anda akan bertanggung jawab untuk menginput, mengelola, serta memperbarui data produk di platform e-commerce kami. Tugas utama mencakup memastikan keakuratan dan kelengkapan informasi terkait produk, termasuk harga, stok, dan deskripsi yang selalu up-to-date. Anda juga akan bekerja sama dengan tim lain untuk memastikan semua data yang diunggah sesuai dengan standar dan prosedur yang telah ditetapkan perusahaan.

Posisi ini membutuhkan ketelitian tinggi dan kemampuan dalam mengelola data secara sistematis untuk mendukung kelancaran operasional e-commerce kami.

Sebagai Data Entry Clerk for E-commerce di PT MAX FASHION GROUP, Anda akan bertanggung jawab untuk memasukkan, mengelola, dan memperbarui data produk di platform e-commerce kami. Tugas utama Anda mencakup memastikan bahwa informasi produk, harga, stok, dan deskripsi selalu akurat dan terbaru. Selain itu, Anda juga akan bekerja sama dengan tim lain untuk memastikan semua data yang diunggah sesuai dengan standar dan prosedur perusahaan.

INDICO is a subsidiary of Telkomsel, Indonesia's leading digital telecom company. INDICO plays a strategic role as a holding company that houses current and prospective vertical digital business portfolios.

As a digital platform company, INDICO aims to leverage Telkomsel’s digital assets and capabilities to create a flywheel effect of innovations to develop cross-sectoral digital solutions that will empower Indonesia’s digital economy. Currently, INDICO is expanding its business in Agritech and Agribusiness named Telkomsel DFE (www.dfe.farm/).

INDICO believes we can reach beyond to empower Indonesians and enable businesses through our strong core values of EPIC WAY (Excellence, Positivity, Impactful Collaboration, Customer First, Walk the Talk, Accountability, Yes-if Mindset).

What you will do, but not limited to:

• Collect, clean and transform data from various sources into a standardize format.
• Build, train and evaluate machine learning models based on the specified design.
• Create clear and informative visualizations/report to effectively communicate findings and insights to stakeholders.

• Bachelor's degree in Mathematics, Computer Science, Physics and related field, or having related experience/project in Machine learning model
• Experience working with Python programming language
• Familiarity with Exploratory Data Analysis (EDA) using Python and it's relevant module (pandas, numpy)
• Understanding of fundamental Machine Learning (supervised vs unsupervised, different type of ML models, evaluation model: recall vs precission)
• Having experience build, train and evaluate a machine learning model (with sklearn, pytorch or tensorflow).
• Good analytical and problem-solving problem
• Eagerness to learn and adapt in a fast-paced environment

About the Role 

The Senior IT GRC and Data Privacy Analyst plays a crucial role in Amartha. You will be the warrior who will spearhead various IT GRC and Data Privacy programs to protect Amartha from internal and external threats, including monitoring and managing compliance with ISO 27001, POJK, PSrE, PDP, and other applicable regulations.

About the team

The Information Security team in Amartha is a group of dynamic, highly-analytical  individuals who are highly mindful in driving security and privacy by design within the various aspects of product lifecycle and engineering processes. We are the team who are highly passionate to be the security enabler of Amartha’s systems

Job Desc/What will you do

GRC Framework Development and Maintenance:

• Develop, implement, and maintain a comprehensive GRC framework that aligns with industry best practices and regulatory requirements.
• Conduct regular risk assessments to identify potential threats and vulnerabilities.
• Develop and implement risk mitigation strategies and action plans.
• Monitor and report on compliance with internal policies and external regulations.

Data Privacy Compliance:

• Ensure compliance with applicable data privacy regulations and data protection laws.
• Conduct data privacy impact assessments (DPIAs) for new projects or initiatives.
• Develop and implement data privacy policies and procedures.
• Manage data breaches and incidents, including notification processes and remediation activities.

Vendor Management:

• Assess the security and privacy practices of third-party vendors and suppliers.
• Negotiate and manage vendor contracts to ensure compliance with security and privacy requirements.

Regulatory Compliance:

• Stay up-to-date with evolving regulatory requirements and industry best practices.
• Provide guidance and support to the organization in meeting compliance obligations.

Identity and Access Management (IAM):

• Develop and maintain IAM policies, standards, and procedures.
• Implement and manage IAM systems and tools (e.g., identity provisioning, access control, single sign-on).
• Ensure the effective administration of user accounts and privileges.
• Conduct regular IAM audits and reviews to identify and address security gaps.
• Manage access certifications and segregation of duties controls.

Requirements

• 5+ years of related job experience
• Strong analytical and interpersonal skills
• Excellent communication both in written and spoken (English)
• Ability to express information clearly at different organizational levels
• Strong understanding of industry standards such as ISO 27001, NIST Cybersecurity Framework, GDPR, UU PDP
• Experience in the financial services industry (esp. Microfinance, Payments, etc)
• Having relevant certification are preferable (e.g.  CRISC, CIPP, etc)
• Experience with IAM technologies and frameworks (e.
• g., Active Directory, LDAP, OAuth, SAML)

Sebagai Staf Verifikasi Data di Kartu Prakerja yang akan dikontrak selama 4 bulan (Project based), Anda akan bertanggung jawab untuk memverifikasi keakuratan dan kevalidan data yang terkait dengan program Kartu Prakerja. Anda akan bekerja sama dengan tim verifikasi data lainnya untuk memastikan bahwa data yang diinput adalah akurat dan lengkap.

Tugas dan Tanggung Jawab:

• Memverifikasi data yang diinput ke dalam sistem.
• Mengidentifikasi dan memperbaiki kesalahan data.
• Menyampaikan laporan terkait dengan hasil verifikasi data.
• Bekerja dengan tim verifikasi data lainnya untuk memastikan keakuratan dan kevalidan data.
• Memberikan dukungan dalam pemrosesan data yang berkaitan dengan program Prakerja.
• Mengikuti kebijakan dan prosedur verifikasi data yang ditetapkan.

• Pendidikan minimal S1
• Teliti dan memiliki kemampuan analisis yang baik.
• Mampu bekerja dengan deadline yang ketat.
• Mahir menggunakan Microsoft Excel atau aplikasi spreadsheet lainnya.
• Mampu bekerja secara mandiri maupun dalam tim.
• Berpengalaman dalam bidang verifikasi data merupakan nilai tambah.
• Berpengalaman dalam bidang administrasi dan pengolahan data diinginkan.

• Working with the biggest Innovation Public Services in Indonesia

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

As a Senior Data Analyst (Risk), you will be at the intersection of our Business and Data in Funding Societies, working primarily with our Risk and Credit teams.

We are looking for a candidate with a strong sense of ownership, a deep appreciation of data and fundamental understanding of end-to-end analytics functions. As long as you are adding value to the business, you are your own boss. The way we work doesn’t suit everyone. But if you are humble, love autonomy and enjoy life changing professional challenges, we could be perfect for each other.

What you will do:

• Collaborate with cross-functional and cross-regional stakeholders to understand business drivers, formulate and complete end-to-end analytics solution.
• Design, develop and maintain self-service reports, dashboards and analysis on interactive BI tools for easier data visualization
• Contribute in collection, processing and modelling of financial data using SQL from complex databases to integrate into data warehouse that can be used for reporting/analysis and to give recommendations and drive decision making
• Deliver effective presentations of findings and recommendations to different audiences, creating visual displays of quantitative information that drives financial decisions in the business
• Find innovative and creative ways to obtain and drill insights from new financial data

What we are looking for:

• Minimum 3 years experience in credit risk / risk management / data analytics.
• Passionate in analysing and interpreting data patterns to drive business decisions, understanding Data Warehousing and ETL would be a plus!
• Highly proficient in SQL / Python and business intelligence tools (e.g. Tableau, Sisense, PowerBI).
• Excellent communication, project management, and stakeholder management skills in order to collaborate confidently with decision makers across different regions and departments.
• CFA / FRM / Chartered Banker would be an added advantage.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

• Manage Data Warehouse and automation services and fulfill report that need by user
• Work with other divisions and/or service providers to optimize DWH
• Document Project Solution on project Solution Architecture Document
• Follow PM Procedure, Release Management Procedure, Software Development Procedure, Software QA Procedure and Change Management Procedure

• Experience with conducting database development in Banking/financial industry (min 2 years of experience in Banking Industry)
• Knowledge/experience in transaction banking and regulatory reporting business processes and data requirements
• Familiar with Database Structure (SQL Server - SSIS, Oracle)
• Familiar with Programming Languange (.net, C#)
• Familioar with excel macro
• Familiar with Project Management tools such as JIRA and Confluence

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

As a Data Analytics Intern, you will be part of a larger Data Analytics team and work directly with a senior data analyst, to communicate your findings and build strategies around them.

What you will do:

• Provide support to overall Data Analytics team, specifically Growth domain
• Understand business problems from the department, identify and document requirements and data needed to solve them
• Performing daily data operations tasks, such as debugging errors, fixing dashboards & other ad hoc tasks
• Work closely with datasets to build data visualisation and dashboards that inform strategic planning and sound business decisions
• Understand functional and technical requirements to build reports that deliver actionable insights to key stakeholders
• Identify and Automate any repetitive tasks currently performed by team members

What we are looking for:

• Good SQL knowledge - Should possess core skills in querying and processing data
• Demonstrates problem-solving abilities and exercise sound judgment and common sense in decision-making
• Strong ownership of tasks & responsibilites
• Sensitive to data integrity and understand the significance of data quality to ensure accurate analysis
• Strong communication skills to comprehend business requirements and engage effectively with stakeholders.
• A proactive, resourceful attitude that encourages self-driven learning while actively seeking available mentorship and guidance.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

As a Data Analytics Intern (Finance), you will be part of a regional function working to support the finance department in Funding Societies. The role requires using a mix of skills including analysis, effective communication, creative problem solving, project management, and cross-functional collaboration to solve complex finance related business problems.

What you will do:

• Data Warehousing: Performing daily data operations tasks, such as pipeline checking, backfilling data, root cause analysis. 
• Automation: Build automation for some finance data alerts & checkers
• Dashboard: Assist dashboard operational tasks includes checking refresh schedules and updating 
• Operational: Support ad-hoc projects or duties and document the finance data glossary  assigned from time to time

What we are looking for:

• Intermediate to Advanced SQL - Should possess core skills in querying and processing data
• Strong ownership of their tasks/experiences 
• Demonstrates problem-solving abilities and exercise sound judgment and common sense in decision-making
• Sensitive to data integrity and understand the significance of data quality to ensure accurate analysis
• Strong communication skills to comprehend business requirements and engage effectively with stakeholders.
• A proactive, resourceful attitude that encourages self-driven learning while actively seeking available mentorship and guidance.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

About Us

INDICO is a digital technology subsidiary company of Telkomsel, Indonesia's leading digital telecom company. INDICO plays a strategic role as a holding company that houses current and prospective vertical digital business portfolios, including Kuncie (edu-tech), Fita (health-tech), and Majamojo (game). Moving forward, INDICO aims to explore opportunities in multiple verticals adjacent to Telkomsel’s digital businesses. As a digital platform company, INDICO aims to leverage Telkomsel’s digital assets and capabilities to create a flywheel effect of innovations to develop cross-sectoral digital solutions that will empower Indonesia’s digital economy. 

INDICO believe we can reach beyond to empower Indonesians and enable businesses through our strong core values of EPIC WAY (Excellence, Positivity, Impactful Collaboration, Customer First, Walk the Talk, Accountability, Yes-if Mindset).

What you will do but not limited to:

• Work in collaborative, value-driven teams and customer-first mindset to build innovative platforms. 

• Use and improve continuous delivery practices to deliver high-quality software that scalable, reusable, reliable, robust and secure 

• Efficiently utilize and improve DevSecOps tools and practices to build and deploy software 

• Analyze and organize raw data. 

• Build data systems and pipelines. 

• Evaluate business needs and objectives 

• Combine raw information from different sources and data types. 

• Explore ways to enhance data quality and reliability. 

• Develop analytical tools and programs. 

• Collaborate with data scientists and architects on several projects. 

• Bachelor’s degree in Computer Science, IT, or related major. 

• Min 2 years of experience as data engineer with strong capabilities in development languages like phyton, SQL or others. 

• Well experienced in build and manage ETL process for data transformation, quality and reliability. 

• Well experience in building data platform based on server cluster such as Hadoop, Spark and Kafka and using any of the major CSPs (AWS, GCP or Azure). 

• Ability to deliver high-quality, well-tested, reusable, secure code and follow INDICO CI/CD pipeline. 

• Strong in technical expertise with various data sources & types. 

• Having Data engineering or Cloud certification is a plus. 

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.

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.

We are seeking a diligent and detail-oriented Location Confirmation Specialist to join our team. In this role, you will be responsible for confirming the location of various buildings in the city center using a smartphone camera and the survey application.

• Collect location attributes according to the survey map.
• Collection of street level images.
• Easily move around selected areas of the city and take pictures with your smartphone

• Smartphone, internet connection
• Computer literacy
• Intermediate+ English

• Flexible schedule
• Ready to take on a student
• Can be combined with main job
• Competitive salary
• Working during daylight hours It is possible to work on convenient transport for yourself: bicycle, scooter.

About the role

Join Amartha as a data analyst in our New Retail business unit. As an important member of our team, you will play a critical role in shaping the future of Amartha One's digital services products. Your skills in data analysis and strategic thinking will play a critical role in driving our mission to have an immediate impact on Amartha One agents

Responsibilities

• Carrying out comprehensive data analysis of Amarthaone agents from acquisition to activation
• Coordinate with FO team to drive weekly milestones
• Recommend solutions to improve acquisition and activation efficiency
• Designing new initiatives to help increase weekly productivity achievements
• Monitor amartha one Agent performance and lead continuous improvement initiatives

The qualifications that you must have

• A Bachelor’s degree in Math, Engineering, Computer Science of related field from reputable university
• Preferably more than 2 year experience in data analytics or business analysis
• Strong analytical skills with the ability to interpret complex data and translate findings into strategic insights and actionable recommendations
• Fluency in Bahasa Indonesia and English, both written and spoken

We are seeking an enthusiastic and talented Data Scientist to join our team in Jakarta, Indonesia, with exceptional written and verbal English communication skills. The Data Scientist will play a key role in supporting the development and implementation of our AI initiatives. This role will involve a wide range of responsibilities, including data collection, analysis, modelling, and visualization. The ideal candidate will have a strong background in data science and AI, as well as experience working with large-scale datasets.

Role and Responsibilities:

• Collect, understand, clean, and prepare large datasets for analysis
• Develop and implement machine learning models to solve business problems
• Analyze data to identify trends and patterns
• Create visualizations to communicate insights to stakeholders
• Collaborate with cross-functional teams to develop, implement and maintain AI solutions
• Stay up to date on the latest advancements in data science and AI.

• Master’s degree in data science, Computer Science, or a related field
• 2+ years of experience in data science
• Strong expertise in data cleaning, preparation, and analysis
• Experience with machine learning algorithms and techniques
• Experience with natural language processing (NLP)
• Proficiency in programming languages such as Python and R
• Experience with data visualization tools such as Tableau and Power BI
• Excellent communication and presentation skills
• Ability to work independently and as part of a team.
• Experience in software development environments

• International and multi-cultural working environment
• Competitive salary and benefits package
• Opportunity to work on innovative AI projects
• Chance to make a real impact on the world
• Collaborative and supportive work environment
• Flexible working model (Remote or Hybrid)
  

About Us:

For most Mobile Network Operators, SMS A2P is a sleeping giant. Total addressable revenue is stagnant - coming from either fixed price wholesale, or traffic eroding price hikes. HAUD’s complete Messaging Revenue Platform is an industry game-changer allowing MNOs to break free of traditional growth constraints and create attractive revenue strategies which can be enforced through our award-winning SMS firewall and billed via automation.

Moladin is Indonesia's leading used car fintech and marketplace. We are transforming the used car industry by empowering all players using our proprietary operational, financing, AI and IoT capabilities. We target to continue to grow strongly and explore more opportunities in the coming years. As a Tech start-up, we have one of the most seasoned and deep management teams plus have received strong financial backing from top investors including Sequoia Capital, Rocket Internet, East Ventures, Northstar and DST Global. We have offices based in Indonesia and an office in Singapore. Please refer to our website at https://moladin.com/en/ for more information.

Responsibilities

• Lead data analysis projects from inception to completion, including data collection, cleansing, processing, and analysis.
• Develop and refine pricing models and algorithms to optimize pricing decisions.
• Develop predictive models and algorithms to support business forecasting, optimization, and decision-making processes.
• Collaborate closely with cross-functional teams, including Operations, Strategy, Business, Product and Engineering, to understand the business requirements and translate them into actionable insights.
• Design and develop data visualizations, dashboards, and reports to communicate findings and recommendations effectively to stakeholders.
• Stay current with industry trends, emerging technologies, and best practices in data analysis and data science, and contribute to continuous improvement initiatives within the team.
• Apply advanced statistical techniques and algorithms to identify patterns, trends, and correlations in large datasets.

• Minimum 4 years of experience with data analysis, business intelligence, or data science roles, preferably a fast-paced environment in a FinTech firm.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
• Previous experience in working along with the Pricing teams is preferred, in the automotive industry.
• Understanding of the used car market, pricing dynamics, and customer behavior in the automotive industry is a plus.
• Proficiency in SQL, Github, and Python, or other programming languages for data analysis and statistical modeling.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib or seaborn is good to have.
• Strong analytical and problem-solving skills, with the ability to think critically and independently.
• Excellent communication and interpersonal skills, with the ability to present technical concepts to non-technical stakeholders.
• Proven track record of delivering high-quality analysis and actionable insights that drive business impact.
• Experience working with large datasets, structured and unstructured data, and data preprocessing techniques.
• Familiarity with basic machine learning techniques such as regression, classification, clustering, and time series analysis.