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About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

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.

About the team

As a core member of our LLM Global Data Team, you'll be at the heart of our operations. Gain first-hand experience in understanding the intricacies of training Large Language Models (LLMs) with diverse data sets. Through our carefully designed rotation program, you'll witness how high-quality data is meticulously crafted and used.

As a key member of our LLM Global Data Team, the LLM Training Operations Specialist/Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets. This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.

Your Role Will Involve:

1. Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met. Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. Build and maintain strong relationships with product managers, researchers, data annotators, and other cross-functional team members. Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.

2. Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs. Collaborate closely with product managers, project leaders and cross-functional teams to ensure alignment on quality metrics and project expectations.

3. Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data. Lead and support general annotation operation improvement initiatives across various data domains. Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.

4. Design and implement robust data analysis strategies to evaluate training and evaluation datasets for LLM projects in the coding domain. Analyze annotation quality, model performance, and dataset coverage using statistical, visual, and programmatic methods. Identify data gaps, edge cases, and failure patterns by conducting slice-based evaluations, prompt sensitivity tests, and cluster-based error analysis. Utilize tools such as Python (Pandas, NumPy, Matplotlib) and SQL to generate actionable insights, monitor data pipeline health, and support model training operations. Collaborate with model trainers and researchers to inform training strategies and guide data-centric iterative improvements.

6. Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs. Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.

Qualifications

Minimum Qualifications

1. Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

2. 1-2 years of experience in project or operations management roles on software engineering teams.

3. 1-2 years of experience with programming languages such as Python, Java, Go, or C, acquired through coding projects or technical roles.

4. Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.

5. Strong project management skills, with the ability to design, manage, and optimize complex workflows.

6. Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.

7. Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.

Preferred Qualifications:

1. Experience in competitive coding such as Codeforce, CPC at regional or international level.

2. Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.

3. Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.

4. Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.

5. Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.

6. Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.

Note: This role requires a paper test prior to interviews.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

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.

About the team

As a core member of our LLM Global Data Team, you'll be at the heart of our operations. Gain first-hand experience in understanding the intricacies of training Large Language Models (LLMs) with diverse data sets. Through our carefully designed rotation program, you'll witness how high-quality data is meticulously crafted and used.

As a key member of our LLM Global Data Team, the LLM Training Operations Specialist/Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets. This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.

Your Role Will Involve:

1. Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met. Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. Build and maintain strong relationships with product managers, researchers, data annotators, and other cross-functional team members. Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.

2. Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs. Collaborate closely with product managers, project leaders and cross-functional teams to ensure alignment on quality metrics and project expectations.

3. Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data. Lead and support general annotation operation improvement initiatives across various data domains. Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.

4. Design and implement robust data analysis strategies to evaluate training and evaluation datasets for LLM projects in the coding domain. Analyze annotation quality, model performance, and dataset coverage using statistical, visual, and programmatic methods. Identify data gaps, edge cases, and failure patterns by conducting slice-based evaluations, prompt sensitivity tests, and cluster-based error analysis. Utilize tools such as Python (Pandas, NumPy, Matplotlib) and SQL to generate actionable insights, monitor data pipeline health, and support model training operations. Collaborate with model trainers and researchers to inform training strategies and guide data-centric iterative improvements.

6. Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs. Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.

Qualifications

Minimum Qualifications

1. Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

2. 1-2 years of experience in project or operations management roles on software engineering teams.

3. 1-2 years of experience with programming languages such as Python, Java, Go, or C, acquired through coding projects or technical roles.

4. Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.

5. Strong project management skills, with the ability to design, manage, and optimize complex workflows.

6. Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.

7. Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.

Preferred Qualifications:

1. Experience in competitive coding such as Codeforce, CPC at regional or international level.

2. Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.

3. Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.

4. Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.

5. Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.

6. Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.

Note: This role requires a paper test prior to interviews.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

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.

About the team

As a core member of our LLM Global Data Team, you'll be at the heart of our operations. Gain first-hand experience in understanding the intricacies of training Large Language Models (LLMs) with diverse data sets. Through our carefully designed rotation program, you'll witness how high-quality data is meticulously crafted and used.

As a key member of our LLM Global Data Team, the LLM Training Operations Specialist/Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets. This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.

Your Role Will Involve:

1. Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met. Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. Build and maintain strong relationships with product managers, researchers, data annotators, and other cross-functional team members. Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.

2. Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs. Collaborate closely with product managers, project leaders and cross-functional teams to ensure alignment on quality metrics and project expectations.

3. Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data. Lead and support general annotation operation improvement initiatives across various data domains. Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.

4. Design and implement robust data analysis strategies to evaluate training and evaluation datasets for LLM projects in the coding domain. Analyze annotation quality, model performance, and dataset coverage using statistical, visual, and programmatic methods. Identify data gaps, edge cases, and failure patterns by conducting slice-based evaluations, prompt sensitivity tests, and cluster-based error analysis. Utilize tools such as Python (Pandas, NumPy, Matplotlib) and SQL to generate actionable insights, monitor data pipeline health, and support model training operations. Collaborate with model trainers and researchers to inform training strategies and guide data-centric iterative improvements.

6. Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs. Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.

Qualifications

Minimum Qualifications

1. Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

2. 1-2 years of experience in project or operations management roles on software engineering teams.

3. 1-2 years of experience with programming languages such as Python, Java, Go, or C, acquired through coding projects or technical roles.

4. Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.

5. Strong project management skills, with the ability to design, manage, and optimize complex workflows.

6. Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.

7. Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.

Preferred Qualifications:

1. Experience in competitive coding such as Codeforce, CPC at regional or international level.

2. Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.

3. Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.

4. Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.

5. Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.

6. Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.

Note: This role requires a paper test prior to interviews.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

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.

About the team

As a core member of our LLM Global Data Team, you'll be at the heart of our operations. Gain first-hand experience in understanding the intricacies of training Large Language Models (LLMs) with diverse data sets. Through our carefully designed rotation program, you'll witness how high-quality data is meticulously crafted and used.

As a key member of our LLM Global Data Team, the LLM Training Operations Specialist/Analyst will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse coding datasets. This role focuses on overseeing and improving operational workflows, primarily for code-related projects, ensuring they are delivered with high quality and efficiency.

Your Role Will Involve:

1. Lead and manage multiple coding-focused LLM training projects, ensuring timelines, quality standards, and objectives are met. Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. Build and maintain strong relationships with product managers, researchers, data annotators, and other cross-functional team members. Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. Coordinate meetings and discussions with global teams to ensure seamless project execution and work with external vendors and trainers per project demands.

2. Design, manage, and optimize workflows for coding-focused LLM training projects, including training design, QA processes, and performance tracking to meet project needs. Collaborate closely with product managers, project leaders and cross-functional teams to ensure alignment on quality metrics and project expectations.

3. Conduct quality and productivity improvement experiments to enhance operational processes for code-related training data. Lead and support general annotation operation improvement initiatives across various data domains. Develop and maintain technical guidelines and casebooks to support consistent, high-quality data production.

4. Design and implement robust data analysis strategies to evaluate training and evaluation datasets for LLM projects in the coding domain. Analyze annotation quality, model performance, and dataset coverage using statistical, visual, and programmatic methods. Identify data gaps, edge cases, and failure patterns by conducting slice-based evaluations, prompt sensitivity tests, and cluster-based error analysis. Utilize tools such as Python (Pandas, NumPy, Matplotlib) and SQL to generate actionable insights, monitor data pipeline health, and support model training operations. Collaborate with model trainers and researchers to inform training strategies and guide data-centric iterative improvements.

6. Provide mentorship and guidance to team members, helping to develop their skills and ensuring the delivery of high-quality outputs. Foster a collaborative environment where team members can share knowledge and best practices to improve overall performance.

Qualifications

Minimum Qualifications

1. Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

2. 1-2 years of experience in project or operations management roles on software engineering teams.

3. 1-2 years of experience with programming languages such as Python, Java, Go, or C, acquired through coding projects or technical roles.

4. Strong communication and problem-solving skills with the ability to understand and convey code-related concepts effectively.

5. Strong project management skills, with the ability to design, manage, and optimize complex workflows.

6. Ability to balance independent judgment with collaborative teamwork in a fast-paced, project-based environment.

7. Deep interest in LLMs, computational thinking, and ability to adapt to a high-intensity work environment.

Preferred Qualifications:

1. Experience in competitive coding such as Codeforce, CPC at regional or international level.

2. Proficiency in Mandarin Chinese (reading and speaking) to effectively communicate with Chinese-speaking global teams.

3. Experience in RLHF annotation and working with leading AI/LLM companies on technical projects.

4. Experience with codebases and understanding of software development processes, coding best practices, and version control systems (e.g., Git). Familiarity with full-stack concepts, including front-end interfaces, back-end logic, and database integration.

5. Proven ability to lead and mentor junior team members in data-related or AI/LLM projects.

6. Enthusiasm for learning, engaging with diverse technical case studies, working with global teams, and comfort with technology tools that enhance project performance.

Note: This role requires a paper test prior to interviews.

Deposits - Maker Role

• Maker role that involves pre-processing checks, data input and transactional processing of customer instructions for Time Deposits, Maxiyield, Structured Products, Remittances, Cashiers' Orders and Demand Drafts

• Performs reconciliation of instructions at end day and ensure filing is complete and up todate.

• Adhere to SOPs and ensure compliant with applicable Regulations and Bank Policies. Be audit ready and achieve satisfactory rating for both internal and external audit reviews.

• Handle queries from Business Units within agreed time frames and proper follow ups on issues

• Carry out any adhoc assignments/ projects as given by Team Lead and/or Department Head.

• Identify process improvements and automation opportunities to improve productivity and mitigate risks.

Skills/Technical Ability required

Good verbal and written communication skills

Independent worker.

Data input

Systematic and knowledge of Fixed Deposits, Structured Products and Remittances

Attributes/Personality traits required

Team player and ability to work under pressure

Meticulous

Disciplined and able to work independently

Able to work Overtime

Experience

More than 1 year banking operations experience desired

Candidates from non-banking backgrounds are welcomed to apply

ROLES & RESPONSIBILITIES

• Act as data controller for the Company
• Monitor, identify, correct / resolve and report discrepancies
• Collect and maintain records
• Prepare weekly, monthly and adhoc reports
• Ensure data entry is completed in an accurate, efficient and timely manner
• Ensure confidentiality of data
• Serves as liaison between different departments within the Company in all matters relating to data
• Oversee and support reporting staff
• Submission of month-end report
• Maintenance of system masterfile
• Any ad hoc duties as assigned by Supervisor

REQUIREMENTS

• Min GCE “O” level
• 3 years of experience in data control.
• Accuracy in data entry and ability to multitask effectively
• Ability to perform repetitive tasks with a high degree of accuracy.
• Ability to work independently with no supervision.
• Detail-oriented and computer literacy
Ability to troubleshoot when problem arises

Work Location: Kaki Bukit View

Interested candidate please submit resume with current/last drawn salary and salary expectation.

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job