152 Data Collection jobs in Singapore

About the Role

We are seeking a detail-oriented and tech-savvy individual to support our AI development team by collecting, organizing, and annotating X-ray images of baggage for machine learning purposes. This role is critical in building high-quality datasets that will be used to train advanced computer vision models for security screening applications.

Key Responsibilities

• Assist in the setup and operation of X-ray scanning equipment to capture baggage images
• Organize and catalog images according to predefined categories and metadata standards
• Perform basic image preprocessing (e.g., cropping, anonymization, format conversion)
• Annotate or label images using internal tools to identify objects of interest (e.g., electronics, liquids, prohibited items)
• Ensure data quality and consistency across the dataset
• Collaborate with engineers and data scientists to understand dataset requirements
• Follow strict data privacy and security protocols

Requirements

• Diploma in Engineering, Information Technology, Computer Science, or a related field
• Comfortable working with computers, file systems, and basic image editing tools
• Strong attention to detail and ability to follow structured workflows
• Basic understanding of data formats (e.g., JPEG, PNG, CSV) and file management
• Good communication skills and ability to work in a team environment
• Willingness to work in a secure or controlled environment (e.g., airport or lab setting)

Bonus Skills (Nice to Have)

• Experience with Python or scripting for automation
• Familiarity with annotation tools (e.g., LabelImg, CVAT, VGG Image Annotator)
• Interest in AI, machine learning, or computer vision

What You’ll Gain

• Hands-on experience in the AI data pipeline
• Exposure to real-world applications of computer vision in security and logistics
• Opportunity to work with a multidisciplinary team of engineers and researchers
• A stepping stone into the world of AI and data science

Ideal for: Recent Graduates (Diploma in Engineering, IT, or related fields)

IT Data Collection Technician ( AI Trained ) - 1 Year Contract

• 5 Days per week
• SG Office: Jurong East - Tradehub 21 ( Some travelling within SG is required )
• Basic Salary: $2,000 - $,800 + 14 Days AL + 500 Medical Benefits + Pro rated bonus
• Company is doing security system for airport, car park and checkpoint, has office at Singapore and factory at Johor Bahru.

Job Scopes:

1. Support our AI development team by collecting, organizing, and annotating X-ray images of baggage for machine learning purposes.
2. Critical in building high-quality datasets that will be used to train advanced computer vision models for security screening applications.
3. Assist in the setup and operation of X-ray scanning equipment to capture baggage images
4. Organize and catalog images according to predefined categories and metadata standards
5. Perform basic image preprocessing (e.g., cropping, anonymization, format conversion)
6. Annotate or label images using internal tools to identify objects of interest (e.g., electronics, liquids, prohibited items)
7. Ensure data quality and consistency across the dataset
8. Collaborate with engineers and data scientists to understand dataset requirements
9. Follow strict data privacy and security protocols

Requirements

• Diploma in Engineering, Information Technology, Computer Science, or a related field
• Able to work with computers, file systems, and basic image editing tools and follow structured workflows in a secure or controlled environment (e.g., airport or lab setting)
• Basic understanding of data formats (e.g., JPEG, PNG, CSV) and file management
• Experience with Python or scripting for automation
• Familiarity with annotation tools (e.g., LabelImg, CVAT, VGG Image Annotator)

Lee Wan Ling | Reg No: R23116154

THE SUPREME HR ADVISORY PTE LTD | EA No: 14C7279

Outreach Client Success Specialist (Survey Engagement Specialist)

Contract until December 2025 (possible to renew contract)

Working Hours: Mon-Fri office hours

Central : Havelock Road / Newton

Key Responsibilities:

• Operations: Collect data through phone and face-to-face interviews, ensuring a smooth and professional survey experience that fosters high response rates and customer satisfaction
• Strategy Development: Design and implement strategies to encourage online participation, reducing reliance on face-to-face interviews and optimizing survey response rates
• Questionnaire Design: Utilize modern techniques to design surveys that meet organizational needs while keeping pace with technological trends and improving operational efficiency
• Sampling Methodology: Apply advanced sampling methods that minimize survey fatigue among the public while ensuring the accuracy and representativeness of collected data
• Data Analytics: Leverage data analytics tools to validate and verify the quality of survey data. Explore alternative data sources and apply imputation methods to handle incomplete data
• Data Analysis & Reporting: Analyze collected data and produce clear, actionable reports, using data visualization tools to present findings effectively to stakeholders
• Dissemination Strategy: Develop and execute strategies to raise awareness of statistical products and ensure they meet the diverse needs of various societal segments

Programme Highlights:

• Gain practical experience in survey operations and statistical processes
• Rotate through different roles to understand various aspects of the department
• Build your communication and interpersonal skills by engaging with a wide range of survey participants
• Develop specialized expertise in areas that match your career aspirations

Job Requirements:

• Good tertiary qualifications
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• A keen learner and self-starter

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at . You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • UEN No. 20007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)

Job Title : Data Collection Specialist (Extrusion & Injection Molding

Processes)

Location : CleanTech Two (West of Singapore)

Duration : 3 Months (starting from Sep 2025)

We are seeking a detail-oriented Data Collection Specialist to support a 3-month project focused on gathering and documenting key operational data related to extrusion and injection molding processes, to support building data foundation for a next-generation AI model that predicts colour outcomes in polymer processing. The ideal candidate will work closely with project team at the centre of that effort—hands-on with the machines, the formulations, and supporting the early modelling work.

Key Responsibilities:

1. Data Collection & Monitoring:

• Record real-time process parameters from extrusion and injection molding machines.
• Track material usage, batch numbers, and feedstock characteristics.
• Perform sample measurement.

2. Data Organization & Validation:

• Enter data into spreadsheets (Excel), databases, or specialized software.
• Verify accuracy by cross-referencing with production logs and sensor outputs.
• Flag inconsistencies or anomalies for engineering review.

3. Collaboration & Reporting:

• Work with project team and tech lead to clarify process variables.
• Generate weekly summaries of trends, deviations, and key findings.
• Assist in preparing reports for process optimization initiatives.

Qualifications & Skills:

· Background on Materials Science, Chemical Engineering, Mechanical engineering, or related field.

· Familiarity with extrusion/injection molding processes (or similar manufacturing environments).

· Prior data collection, quality control, or machine operation experience is a plus.

· Proficiency with Microsoft Excel (formulas, tables, basic analysis).

· Strong attention to detail and organizational skills.

· Ability to follow protocols and work independently.

Work Conditions:

· Primarily in a manufacturing lab environment (PPE required).

Project Deliverables:

· Clean, structured datasets for extrusion/injection molding processes.

· Documentation of process variability and correlations with defects.

· Final summary report of findings (if required).

All Curriculum Vitae will be treated with strict confidentiality. We regret to inform you that only shortlisted candidates will be notified.

If you are looking for an opportunity and your skills align with this job, please send your updated CV/resume (in Word format) to Jocelyn Lee at

By sending us your personal data, you are deemed to consent to RMA Consultants Pte Ltd and its affiliates collecting, using and disclosing your personal data for the purposes set out in our Data Protection Policy at and Privacy Policy at .

“This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to RMA Groups’s PDPA and e2i’s PDPA.”

Jocelyn Lee |EA Reg No: R25128375

RMA Consultants|EA License No: 93C4403

Data Collection Assistant/Technician (AI Training) – 1 Year Contract

Location: Boon Lay

Salary: $2000 - $2800

Working Hours: 9am – 6pm (Mon to Fri), 9am – 1pm (Alt Sat)

Job Scope:

• Operate X-ray scanning equipment to capture baggage images
• Organize and label images based on categories and standards
• Perform basic image edits (cropping, format conversion, anonymization)
• Annotate images to highlight specific objects (e.g., electronics, liquids)
• Ensure data quality and follow strict data privacy rules
• Work with engineers and data teams to meet project needs

Requirements:

• Diploma in Engineering, IT, Computer Science, or related field
• Comfortable with computers, file systems, and basic image tools
• Detail-oriented and able to follow structured processes
• Basic knowledge of image formats (JPEG, PNG) and file management
• Good teamwork and communication skills
• Willing to work in secure environments (e.g., airport, lab)
• Python or basic scripting skills
• Familiar with annotation tools (e.g., LabelImg, CVAT)
• Interest in AI, machine learning, or computer vision

Company Name: Talent Recruitment Pte Ltd

EA License No: 24C2338

EA Personnel Name: Loke Sai Lye (Loke)

EA Personnel No: R24123366

Email:

Contact Number: 8168 8648

Description

What the role is:

The position is located in the Manpower Research and Statistics Department (MRSD), Singapore. The department produces a wide range of national labour market statistics to facilitate informed decision-making within the government and the community-at-large.

What you will be working on:

The candidate will be part of the Data Collection team. Responsibilities include:

1. Plan and coordinate official surveys, ensuring they are completed with high response rates
2. Provide guidance and advice to survey interviewers to ensure that surveys are conducted in a timely and reliable manner
3. Coordinate with various stakeholders to provide solutions for escalated cases
4. Analyse macro trends to detect outliers and anomalies
5. Use data analytical tools to conduct validation checks on data to ensure that it is accurate
6. Provide regular updates of survey statistics and data quality to senior management

What we are looking for:

• Excellent communication and interpersonal skills
• Strong analytical and quantitative skills
• Comfortable with working with diverse groups of people
• Self-starter who is able to thrive in a fast-paced environment
• Knowledge of Python, R or Tableau is an advantage
• PWDS are welcome to apply.

About Ministry of Manpower

Championing Human Potential for a Thriving Singapore. Singaporeans are at the heart of what we do. The Ministry of Manpower (MOM) empowers our people and fosters a thriving, inclusive workforce that drives Singapore's growth and prosperity. By working closely with our tripartite partners, industry and community stakeholders, we strive to create workforce and workplace policies that foster resilience, adaptability, and a bright future for a thriving Singapore. As an MOM officer, you will be part of this meaningful mission, contributing across diverse and impactful areas - from shaping forward-looking and effective manpower policies and strengthening industrial relations, to enhancing workplace safety standards and ensuring balanced local and foreign workforce regulations. Here at MOM, we are committed to creating an inclusive experience not just for our national workforce, but also for our officers who work tirelessly to champion human potential for a thriving Singapore.

#J-18808-Ljbffr

Industry

Other

Category

Finance

Sub Category

Risk Management & Quantitative Analysis

IT Data Collection Technician | AI Trained | 1 Yr Contract | Jurong East

5 Days per week

SG Office: Jurong East - Tradehub 21 ( Some travelling within SG is required )

Basic Salary: $2,000 - $,800 + 14 Days AL + 500 Medical Benefits + Pro rated bonus

Company is doing security system for airport, car park and checkpoint, has office at Singapore and factory at Johor Bahru.

Job Scopes:

1. Support our AI development team by collecting, organizing, and annotating X-ray images of baggage for machine learning purposes.
2. Critical in building high-quality datasets that will be used to train advanced computer vision models for security screening applications.
3. Assist in the setup and operation of X-ray scanning equipment to capture baggage images
4. Organize and catalog images according to predefined categories and metadata standards
5. Perform basic image preprocessing (e.g., cropping, anonymization, format conversion)
6. Annotate or label images using internal tools to identify objects of interest (e.g., electronics, liquids, prohibited items)
7. Ensure data quality and consistency across the dataset
8. Collaborate with engineers and data scientists to understand dataset requirements
9. Follow strict data privacy and security protocols

Requirements

• Diploma in Engineering, Information Technology, Computer Science, or a related field
• Able to work with computers, file systems, and basic image editing tools and follow structured workflows in a secure or controlled environment (e.g., airport or lab setting)
• Basic understanding of data formats (e.g., JPEG, PNG, CSV) and file management
• Experience with Python or scripting for automation
• Familiarity with annotation tools (e.g., LabelImg, CVAT, VGG Image Annotator)

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

We are seeking multiple full-time Research Assistant(s) who will assist with quantitative data analysis in ongoing projects on the economics and demography of aging, pensions and retirement, as well as health of the elderly. The projects are part of a large 5-year research program (2024-2028) which has collaborators in Singapore and the United States. The Principal Investigator of this project is located at Lee Kuan Yew School of Public Policy.

The successful candidate(s) must demonstrate competence in quantitative research methods using STATA or R, as well as the ability to work independently with minimal supervision. Excellent written and spoken English is essential. Research interest and experience in one or more of the above-listed areas on economics and demography of aging, OR pensions and retirement, OR health of older adults is plus.

This position caters to individuals who are looking to further their skillsets and analytical training to develop a career or pursue further studies in the fields of applied economics or public policy research. As such, we require a minimum of one year of past research work experience as full-time Research Assistant. Please state this work experience clearly in your cover letter. This position is not suitable for fresh graduates or those with part-time/ad-hoc research experience only.

Responsibilities of the full-time Research Assistant(s) include:

• Administrative support for research projects under a 5-year research programme
• Conduct literature reviews
• Assist with collecting, cleaning, and analyzing primary/ secondary data
• Draft/contribute to research reports, policy briefs, and articles
• Prepare presentation materials for stakeholder meetings
• Copy-editing and proof reading
• Any other duties as assigned

Requirements:

• At least a Bachelor’s degree in Economics, Finance, Statistics, Demography, or Sociology.
• Candidates with a Master’s degree are encouraged to apply.
• Minimum of one year of past research work experience as full-time Research Assistant.
• Proficient in quantitative research methods using STATA or R.
• Self-motivated and attention to detail.
• Excellent spoken and written English.
• The candidate is expected to be physically present in office during the stipulated working hours.
• Able to commit to at least 1 year of service.

Benefits:

• Competitive salary, 1-year contract.
• Possibility of renewal of contract for additional 1-2 years.
• Highly collegial working environment with an internationally diverse group of scholars.
• Excellent research support provided by the School and NUS.

Interested applicants are invited to send the following list of documents via the NUS Career Portal.
• Cover letter.
• Curriculum vitae.
• Two writing samples (journal articles/reports from past research work, thesis).

Your cover letter should include details such as your highest qualifications, past research experience, last drawn salary (if applicable), expected salary, and country of citizenship. Please also state when you can begin work, if you are selected for the role.

The earliest start date of the appointment is May 2025. Applications will be accepted until the position is filled. Should you be shortlisted, a faculty member or an administrator will be contacting you directly for an interview.