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.

• Daily review key collection indicators and present highlights to the Head of Collection.
• Conduct regular analysis of agent productivity metrics.
• Develop a thorough understanding of the collection process to address any related issues.
• Perform in-depth analysis of the collection portfolio as needed and provide recommendations for improvement.
• Perform monthly inventory planning to ensure sufficient collection capacity.
• Provide assistance to collection managers with collection tools and system support.
• Actively participate in collection system enhancement.

• Minimum of a Bachelor's degree or demonstrate equivalent experience, with a preference for backgrounds in finance, banking, or related fields.
• Possess a dynamic 2-year track record as a Quality Control (QC) specialist, Investigator, or Auditor.
• Exhibit a passionate interest in the dynamic and evolving landscape of financial technology industries.
• Showcase effective coaching, facilitation, presentation, and team-building abilities.
• Demonstrate proficiency in Microsoft Office, Google Sheets, and Google Drive.
• Display an unwavering attention to detail and precision in your work.
• Harness strong communication, investigation, and negotiation skills.
• Leverage robust analytical capabilities to navigate complex challenges.
• Fluent in both Bahasa and English (preferably).

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.

We are seeking a highly motivated and skilled Lead Data Analyst - Finance to join our dynamic team at Funding Societies. As a lead data analyst, you will be part of a fun team which will be working to support all business functions with finance focus in Funding Societies. In short, the function of a data analyst is to understand the needs of the business and use data to derive a solution that you will then present, implement, and track and add value to the company and its performance. In addition to having a knack for problem-solving, it is crucial that you are willing to learn, understand, and hear the needs of our people.  We solve challenging problems. As long as you are adding value to the business, you are your own boss. You’ll get loads of support from your friendly, talented and motivated colleagues

What will you do:

• Lead, mentor & enable team members to drive a high performance team
• Ensure the timeliness and accuracy of Finance data analysts work for key projects such as finance audit, finance closing, regulatory & BAU reporting
• Pioneer and develop financial analysis capabilities within the data team, and perform some hands on analyses yourself to drive insights from multiple data sources
• Collaborate with regional Finance and various business teams, plan roadmap & quarterly OKR, drive projects and propose solutions and strategies to business challenges
• Establish best practices in coding & analytics solutions 
• Contribute to driving overall team process improvements through new frameworks, processes, and execution excellence 

What we are looking for:

Must-haves

• Qualifications Bachelor in finance and/or quantitative related disciplines or equivalent. 3-7 years of experience
• Good stakeholder management ability 
• Ability to be hands on and mentor team members problem solve 
• Prioritization skills
• Experience leading and managing team performance for at least 1 year
• Strong logical reasoning and analytical mind, with can-do attitude
• Independent learner who enjoys solving challenges (Google is your best friend)
• Outstanding communication and teamwork skills, with cross-departmental and cross-team projects experience, independently promoting project execution
• SQL, Python, visualization tools such as Tableau/Qlik experience required
• English is required

Good to have:

• Experience working in FinTech or financial industries highly preferred
• Experience in working on performance management, cost allocation, financial statement analysis, building financial model with basic accounting understanding is preferred
• Experience with agile methodology
• Understanding of ELT workflow

• 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