1,049 Data Acquisition jobs in Singapore
Product Manager - LLM Data Acquisition and Production Singapore Regular
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Overview
Product Manager - LLM Data Acquisition and Production
Location:
Team:
Product
Employment Type:
Regular
Job Code:
A
Responsibilities
Collaborate with technical teams to precisely define the data requirements necessary for aligning Large Language Models (LLMs) across global markets.
Develop methodologies for data acquisition and production, while also monitoring costs and assessing the effectiveness and efficiency of these processes. Ensure data quality is maintained at high standards and continually enhance processes based on both quantitative and qualitative feedback.
Evaluate the impact of data production tools on the effectiveness and quality of data production. Work closely with technical teams to enhance both the quality and effectiveness of these tools.
Proactively identify and mitigate potential biases and vulnerabilities in the data production process. This includes, but is not limited to, addressing human and system biases through the implementation of technical, product, and operational solutions.
Qualifications
Minimum Qualifications:
Solid understanding of alignment and related approaches, such as Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and others. Or solid experience in moderation, labeling, search quality, or data synthesis.
Minimum of four years experience as a product manager or product strategist, including process design experience.
Proficiency in English (spoken and written).
Preferred Qualifications:
Candidates with global education or work experience are preferred.
A strong interest in both LLMs and human behavior/experience/wellbeing. Must be an enthusiastic learner. This position is not suitable for individuals who find reading papers and books to be tedious.
Collaborative team player who knows how to advocate for their ideas without being overbearing. Skilled in maintaining attention to detail while staying focused on prioritized goals and the bigger picture.
Job Information
About Doubao (Seed)
Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.
With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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Data Analysis Engineer
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You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.
Job Description
- Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
- Clean, transform, and analyse data to extract valuable insights.
- Use statistical methods to identify trends, patterns, and correlations in the data.
- Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
- Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
- Write and optimize code to automate data collection, processing, and analysis tasks.
- Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
- Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.
Requirements
- Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
- Experience with Python and R for data analysis, statistical modelling, and automation tasks.
- Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
- Strong understanding of statistical concepts
- Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
- Bachelor's degree or higher in IT-related, Statistical, or Mathematical.
Data Analysis Engineer
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• Remuneration bonuses package
• Conducive working environment
• Promising career prospect and advancement
Job Scopes:
- Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
- Automate data cleansing and validation processes to improve overall data quality
- Develop and maintain dashboards and reports using business intelligence tools
- Establish data standards, governance frameworks, and best practices for data management
- Identify data quality issues and implement solutions to enhance reliability
Job Requirements:
- Diploma or degree qualification
- 3-5 years of related experience
- Microsoft Office, SQL, Power BI, Oracle
- Analytical and problem-solving skills
- Good communication and collaboration abilities
*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **
Data Analysis Expert
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A senior-level professional is sought to oversee data analysis and drive business growth through strategic decision-making.
The ideal candidate will collaborate with high-level executives to develop and implement data-driven solutions, leveraging quantitative techniques to optimize performance.
Key responsibilities include:
- Designing and implementing data architectures to support business objectives.
- Developing and maintaining complex models using machine learning algorithms.
- Analyzing large datasets to identify trends and insights.
Successful candidates will have a Master's degree in a quantitative field such as Mathematics, Statistics, or Economics, and at least 3 years of experience in financial data analysis roles. Proficiency in programming languages such as Python, C++, Java, and R is required, along with experience with machine learning tools like TensorFlow and PyTorch.
In addition to technical skills, strong communication and collaboration skills are essential for success in this role.
Data Analysis Professional
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Job Role: Data Analysis Professional
As a Data Analysis Professional, you will be responsible for collecting and reviewing data to inform business decisions. You will utilize various data analysis tools such as Excel, ACL, and Tableau to perform audits and provide actionable insights.
Key Responsibilities:
- Data Collection and Review
- Audit Planning and Execution
- Analysis of Audit Findings
- Identification of Issues and Suggestions for Process Improvements
- Support in Finalizing Audit Reports and Gathering Management Responses
Requirements:
- Background in Accounting or Business Studies
- Proficiency in Microsoft Excel
Why This Role?
This is an excellent opportunity for those interested in data analysis and audit work. You will have the chance to develop your skills in data collection, review, and analysis, as well as contribute to improving processes within the organization.
Product Manager, LLM Data Acquisition and Production (Safety Domain) - Seed Global Data
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Product Manager, LLM Data Acquisition and Production (Safety Domain) - Seed Global Data
We are seeking a Product Manager to join our LLM Global Data Team, focusing on producing international data for LLMs. The team works closely with technical, product, and operations teams to ensure effective data production strategies and execution management.
Responsibilities
Cooperate with technical teams to locate potential gaps and conduct relevant mitigations for safety alignment.
Collaborate with the evaluation team to understand the impact of safety alignment trainings and iterate the evaluation framework.
Develop methodologies for data production and acquisition, ensuring high data quality while maximizing the effectiveness and efficiency of data pipelines.
Please note that this role may involve exposure to potentially harmful or sensitive content. Support resources and resilience training will be provided to support employee well-being.
Qualifications
Minimum Qualifications:
Solid understanding of AI agent safety challenges.
3+ years of experience as a product manager or product strategist.
Proficiency in English (spoken and written).
Preferred Qualifications:
Strong interest in both LLMs and human behavior/experience/wellbeing.
Collaborative team player with a computer science background or coding skills.
About Doubao (Seed)
Founded in 2023, the ByteDance Doubao (Seed) Team pioneers advanced AI foundation models, leading in cutting-edge research and driving technological and societal advancements.
Why Join ByteDance
We inspire creativity at the core of our mission. Our innovative products help people authentically express themselves, discover, and connect. We strive to do great things with great people, leading with curiosity, humility, and a desire to make an impact.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
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wfh data analysis officer
Posted today
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HR
Job description:
- Scheduling and arranging of appointments
- Guide clients with data given
- Evaluate data given and create portfolio for clients
Work from home
No prior experience required
Confident and willing to learn
Polite to customers when calling them
Team-player
Able to listen to instructions
INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82
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wfh data analysis officer
Posted today
Job Viewed
Job Description
HR
Job description:
- Scheduling and arranging of appointments
- Guide clients with data given
- Evaluate data given and create portfolio for clients
Work from home
No prior experience required
Confident and willing to learn
Polite to customers when calling them
Team-player
Able to listen to instructions
INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO :
Tell employers what skills you haveMicrosoft Excel
Verbal Communication
Telemarketing
Interpersonal Skills
Administration
Data Entry
Communication Skills
Administrative Support
Customer Service
Able To Work Independently
WFH DATA ANALYSIS OFFICER
Posted 15 days ago
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Job Description
HR
Job description:
- Scheduling and arranging of appointments
- Guide clients with data given
- Evaluate data given and create portfolio for clients
Work from home
No prior experience required
Confident and willing to learn
Polite to customers when calling them
Team-player
Able to listen to instructions
INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82@yahoo.com
Software Engineer, Data Infrastructure & Acquisition - Taipei, Taiwan
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Job Description
PLEASE APPLY THROUGH THIS LINK:
DO NOT APPLY BELOW
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
BS/MS/PhD in Computer Science or a related field.
5+ years of industry experience in software development.
Proficiency with bash/Python scripting in Linux environments
Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
Experience with web crawlers, large-scale data processing workflows is a plus
Ability to handle multiple tasks and adapt to changing priorities.
Strong communication skills, both written and verbal.
What we offer
A fast-growing environment where you can help shape the company and product.
An entrepreneurial-minded team that supports risk, intuition, and hustle.
A hands-off management approach so you can focus and do your best work.
An opportunity to make a big impact in a transformative industry.
Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
Opportunity to work on a life‐changing product that millions of people use.
Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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