Total 5,738 Education / Training job vacancies in Singapore

Job Descriptions:

·Plan and accomplish teaching tasks by following the school’s requirements.

·Prepare learning materials to ensure effectiveness of class management.

·Assign homework, correction, grading tests and complete other paper works according to school’s requirements.

·Monitor and communicate with parents regularly about student's progression.

·Evaluate students' performance to provide positive enhancement to their learning.

·Update and compile all teaching and learning materials including short term training and learning materials according to latest MOE syllabus.

·Attend all school staff meetings and training programmes.

·Perform any ad hoc basis duties as assigned by superior or management.

Job Requirements:

·Able to commit for both weekends.

·Willing to learn and possess good working attitude.

·Dedicated and passionate with children.

·Excellent communication and interpersonal skills.

·Able to work independently and a team player.

• Position Title: Preschool English & Chinese Teacher
• Working Location: North-East
• Duration: Full-Time
• Low Staff Child Ratio

Job Roles and Responsibilities:

• Plan, develop, and implement age-appropriate class activities for children.
• Prepare and implement the programs and age-appropriate teaching aids.
• Set up and create a stimulating, engaging, and pleasant learning environment that promotes self-directed learning and holistic development.
• Use positive discipline techniques at all times.
• Maintain good communication and partnerships with parents, providing regular updates on their child's progress.
• Collaborate with fellow teachers and staff to ensure a cohesive and supportive learning environment.

Job Requirements:

• Candidate must possess at least a Diploma in Early Childhood Education – Teaching (DECCE-T) or a Degree in Early Childhood Care
• Strong communication and interpersonal skills
• A genuine passion for nurturing and educating young children

If you believe you have what it takes to join our team of dedicated and passionate preschool teachers, please submit your resume, cover letter, and any relevant certifications via whatsapp @ mobile 85080588. We look forward to hearing from you!

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-AIDF/33495-en_GB/?st=4993B7046BEEBA984DA71E08B1EF737E0DBC9DA2

We regret that only shortlisted candidates will be notified.

Role Overview

We are looking for a motivated Research Assistant to support AIDF’s digital marketing, and programme outreach activities.

Key Responsibilities

Digital Marketing and Campaign Support

• Support the planning and execution of digital marketing campaigns across multiple platforms, including social media, email, website, and digital advertising channels.
• Assist in creating, scheduling, and publishing content for LinkedIn, website updates, newsletters, and other digital channels.
• Support campaign tracking, performance reporting, and basic analytics to evaluate campaign effectiveness.
• Coordinate with internal teams, faculty, partners, vendors, and designers to prepare marketing materials and campaign assets.
• Help maintain a consistent brand voice and professional image across AIDF’s digital channels.

Social Media and Content Support

• Manage day-to-day social media content posting and engagement, particularly on LinkedIn and other relevant platforms.
• Draft and refine social media posts, event highlights, programme announcements, and partner engagement content.
• Support content collection from events, programmes, faculty, students, alumni, and industry partners.
• Assist in developing simple visual assets, captions, short write-ups, and promotional materials.
• Support regular website updates, including programme information, event pages, news articles, faculty profiles, partner updates, and other content.
• Ensure website content is accurate, current, and aligned with AIDF’s branding and communication standards.

Academic and Programme Operations Support

• Provide administrative and operational support for academic programmes, workshops, seminars, and events when required.
• Assist with programme marketing, participant communications, registration tracking, logistics coordination, and post-event follow-up.
• Support the preparation of programme materials, reports, attendance records, feedback forms, and certificates where applicable.

Qualifications

• Degree in Marketing, Communications, Business, Media, or a related discipline.
• 1 to 2 years of relevant experience in digital marketing, social media marketing, content coordination, or communications.
• Good writing skills and the ability to draft clear, professional, and engaging content.
• Familiarity with social media platforms, especially LinkedIn.
• Basic experience with website content management systems would be an advantage.
• Basic understanding of email marketing, digital campaigns, or campaign analytics would be useful.
• Comfortable handling multiple tasks across marketing, communications, and programme support.
• Detail-oriented, organized, and able to follow through on operational tasks.
• Good interpersonal skills and the ability to work with faculty, colleagues, students, vendors, and external partners.
• Interest in fintech, AI, digital finance, or higher education would be an advantage.

Preferred Skills

Experience using tools such as Canva, LinkedIn, Mailchimp, WordPress, Google Analytics, or similar platforms.

Ability to support simple design work, content formatting, and digital asset preparation.

Prior experience in an education, research, technology, fintech, or professional services environment would be helpful.

Comfortable supporting events, workshops, and academic programme logistics.

The Signature Research Programme in Health Services Research and Population Health is looking for candidates with either undergraduate or masters training in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects.

Job Description

This position will report directly to Senior Health Economists in the Health Economic Evaluation Lab and offers an excellent opportunity to develop and refine in demand skills in applied health economics and to be co-author on publications. Successful candidates will assist with high value health economic research endeavours and perform a variety of functions, such as:

• Execute econometric and other statistical analyses.
• Build decision trees, markov and micro-simulation models for use in cost effectiveness analyses.
• Conduct literature reviews.
• Prepare sections of surveys, analysis plans, manuscripts, reports and grant proposals with a goal toward producing high quality research outputs.
• Act as a Teaching Assistant for the Health Economic Evaluation Graduate Certificate Program.
• Perform other related duties assigned by the Principal Investigators in support of these efforts.

Job Requirements

• Bachelor’s Degree / Master’s Degree in Economics, Health Economics or other related disciplines.
• Prior research experience in Cost Effectiveness modelling and Econometrics is highly desirable.
• Have experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling packages such as R or STATA.
• Proficient with Microsoft Office Suite and AI tools.
• Possess strong verbal and written communication skills in English.
• Able to multi-task and work productively in teams.

We regret that only shortlisted candidates will be notified.

About the Role
We are looking for a Junior to Mid-Level ML Engineer to join the Model Engineering team. This role is suited for someone who enjoys working hands-on with computer vision models and understands models as systems to be trained, evaluated, improved, and optimised. You will work across the model lifecycle, including dataset preparation, architecture development, model training, evaluation, performance analysis, and optimisation for real-world computer vision applications.

Responsibilities

• Train, fine-tune, and evaluate computer vision models for classification, object detection, segmentation, pose estimation, and action recognition.
• Improve model performance through architecture enhancements, custom heads, backbone modifications, loss functions, and training strategy optimisation.
• Design experiments, conduct ablation studies, benchmark new techniques, and analyse model trade-offs.
• Investigate edge cases, debug failure cases, and improve model accuracy, robustness, and efficiency.
• Optimise models based on practical constraints such as latency, throughput, resource usage, and hardware limitations.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models.
• Strong hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.
• Experience with computer vision tasks such as classification, object detection, segmentation, pose estimation, or action recognition.
• Experience modifying models beyond configuration-level changes, including architectures, backbones, heads, loss functions, or training pipelines.
• Experience designing experiments, conducting ablation studies, analysing model performance, and debugging failure cases.
• Familiarity with multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with model optimisation techniques such as quantisation, pruning, or distillation.
• Familiarity with experiment tracking, reproducibility, and structured machine learning workflows.

Location: Serangoon
Working Days: 12pm-6pm [Mon-Fri]
Salary : $1800 + $15/h (If OT)

Job Description

• Supervise primary school students in their homework guidance. 

Requirements

• Minimum Polytechnic Diploma with two years of relevant experience. 
• Possess primary school content knowledge for Homework Guidance.
• Able to teach will be a bonus

WhatsApp me your resume for quicker processing! ☺️

WhatsApp: https://wa.me/6584067823 (Shiro)

SHEE YOKE RU|R26161758 | The Supreme Hr Advisory Pte Ltd EA No: 14C7279

New Customer Acquisition:

• Identify and prospect potential customers through networking, referrals, and other channels.
• Develop and execute strategies to convert leads into new clients, while working closely with the marketing team to improve conversion effectiveness.

Customer Relationship Management:

• Build and maintain strong relationships with existing customers, identifying opportunities for upselling and cross-selling based on their needs and usage.
• Implement engagement strategies to enhance customer loyalty and ensure timely resolution of enquiries and concerns.

Cross-functional Collaboration:

• Partner with internal teams such as marketing, learning and development, and programme management to align customer engagement strategies with business goals.
• Share customer insights to support continuous improvement and innovation.

Feedback Analysis and Reporting:

• Collect and analyse customer feedback and data to identify trends and improvement areas.
• Prepare regular reports on customer acquisition and engagement performance metrics.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Job Description:

• Deliver educational insights to help students achieve their academic goals through Aspire Hub Education's methodology
• Recruit new students via walk-in, telephone, online enquiries or any other marketing activities planned
• Promptly follow up with all prospective students and parents
• Build strong rapport with existing parents and students
• Provide quality customer service, managing customer expectations and feedback in a professional manner
• Perform general administrative duties such as processing student registration and payment, generation of reports and collation of student attendance

Requirements:

• At least 1 year of working experience
• Possesses at least Diploma
• Willing to work on weekends
• Prior experience in the education sector and sales roles are preferred

Benefits:

• Attractive sales incentive
• Good career progression
• Medical benefits

Administration of Local Training Activities     

• Collation of course nominations
• Process training applications
• Confirmation of training details
• Raise payment request for the payment and reimbursement of course fees
• Monitor attendance register, course attendance and perform course followup
• Monitor submission of post-training forms / reports / certificates / payments /results
• Provide training support for programmes
• Prepare of course materials
• Prepare in-house training venue
• Assist to prepare and submit funding/claim application

Maintenance of Learning Management System           

• Maintain training catalogue and training records in LMS
• Record of learning history upon training completion
• Prepare monthly training report and other reports requested by supervisors

Requirements:

• Minimum Diploma in any field
• Good to have prior HR experience / internship

Interested candidates, please forward your resume to 

Consultant: Jalene Tan (R26160390)

Recruit Express Pte Ltd (99C4599)

jalenetan@recruitexpress.com.sgNo.: R26160390

Job Description

A Senior Scientist with a strong chemistry background and at least 5-10 years of related research experience is required to lead the chemistry aspects of themineralization scale-up. This role is critical to ensure deep understanding of reaction mechanisms, accurate optimisation of CO₂ mineralisation, and reliable translation of laboratory results to pilot scale. The position will also ensure robust analytical validation and compliance with NEA standards, reducing technical risks during scale-up.

KeyRoles and Responsibilities

• Lead optimisation of CO₂ mineralisation reaction chemistry and kinetics
• Design and oversee advanced laboratory and testbed studies
• Conduct and interpret detailed material characterisation (e.g., XRD, ICP-MS, TGA)
• Provide expert support for pilot plant troubleshooting and process refinement
• Ensure product safety and compliance with regulatory requirements
• Collaborate with engineering teams to integrate chemistry insights into scale-up design

JobRequirements

• Degree: PhD in chemistry or related fields with experience in applied research or industry collaboration preferred
• Proven experience in project management and leading research teams
• Good understanding of chemical processes and their design and optimization.
• Good understanding of chemistry and chemical engineering concepts, particularly in (but not limited to) inorganic chemical synthesis and multiphase reactions.
• Experience in designing, setting up and operating reactors and other equipment at the kg-scale.

Remarks:

This role is essential for bridging laboratory research and pilot-scaleimplementation, ensuring successful translation of the CCUS and technology towards commercial deployment.