Total 5,342 Education / Training job vacancies

Job Scopes 工作范围

1. Teach Classes Across Various Levels 教授不同级别班级的课程
2. Serve As The Class Teacher Handling All Matters Related To Children’s Welfare And Daily Routine Care 负责与儿童福利和日常照护相关的事项
3. Assist Other Teachers And Support Other Classes When Needed 按需协助其他教师，并支援其他班级的教学工作
4. Prepare Lesson Plans For The Class/Classes In Charge 为所负责的班级/课程制定与准备教学计划
5. Possess Strong Communication Skills And Effective Classroom Management Abilities 具备良好的沟通能力及有效的课堂管理技巧
6. Work 44-48 Hours Per Week 每周工作 44–48 小时
7. Salary Will Be Based On Experience And Qualifications 薪资将根据经验与资历评定

http://Nas.ioAt Nasio, we’re building the future of online business. Our AI-powered platform helps solopreneurs and professionals transform ideas into thriving digital products—fast, simple, and low-cost. With Nasio, anyone can go from concept to creation: launch a product, find their first customers, and generate their first revenue online in minutes.

Founded by the team behind Nas Daily, whose content reaches over 500 million people every month, we are a global team of 100 people serving users around the world, united by one mission: to make starting and scaling an online business easier than ever before.

Position Overview

Nasio is seeking a

Senior Backend Engineer

to support and scale our backend systems for a fast-growing creator platform. This is a full-time

remote role

open to candidates in Singapore. The ideal candidate thrives in an

asynchronous work environment

, can work independently, and is passionate about improving product reliability, system architecture, and performance. You will play a key role in ensuring our platform remains robust and responsive around the clock.

Team Setup & Reporting:

The Senior Backend Engineer will report directly to the

Head of Engineering

. Team collaboration at Nasio is primarily asynchronous due to the distributed nature of our workforce.

Key Responsibilities

• Backend Feature Development: Collaborate with product managers to design and implement new backend features that align with business goals and user needs. Ensure features are delivered from concept to deployment with high quality.

• System Architecture & Performance: Continuously improve the architecture of our core systems for better performance, scalability, and maintainability. Participate in technical design discussions and make decisions to enhance system reliability.

• Infrastructure & DevOps: Enhance and maintain our infrastructure (AWS cloud services and related tooling). Set up and refine CI/CD pipelines as needed to streamline deployments.

• Monitoring & Alerts: Establish and fine-tune comprehensive monitoring, logging, and alerting across all platforms. Maintain observability tools to ensure any issues are detected early and accurately, enabling rapid response.

• Off-Hours Support: Serve as the point person for troubleshooting and responding to backend system issues during off-peak hours (EU daytime / APAC night). Promptly address incidents, mitigate impact, and escalate to the broader engineering team if critical issues arise outside your expertise.

• Quality & Best Practices: Uphold high code quality standards through code reviews, testing, and documentation. Introduce best practices for coding, error handling, and performance optimization across the backend team.

Qualifications & Skills

• Experience: 4+ years in backend development or systems engineering roles, with a strong track record of building and maintaining scalable systems.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations. 

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.
The Role

We are seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team with a focus on Computer Vision and modern AI. This role is designed for builders who are passionate about training deep learning models, refining architectures, and scaling real-world vision systems.

You will work closely with experienced engineers on production-grade models, ranging from standard object detectors to cutting-edge zero-shot and open-vocabulary architectures. This is an ideal role for those who enjoy running experiments, analysing model behaviour, and driving measurable performance improvements.

What You’ll Do

• Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
• Architecture & AI Exploration: Research and experiment with CNNs, Transformers, and Foundation Models. You will explore the integration of modern AI to enhance open-vocabulary detection and zero-shot capabilities.
• Failure Analysis & Data Refinement: Debug model failures (false positives/negatives) and implement solutions through targeted data annotation, cleaning, or improved inference strategies to ensure model robustness.
• Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
• Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.

Who This Role Is For

• Builders: You prefer hands-on engineering and practical implementation over purely theoretical research.
• Experimenters: You enjoy the iterative process of testing different architectures, hyperparameters, and datasets to maximize performance.
• Problem Solvers: You are curious about root causes and enjoy the "detective work" required for model debugging and data-driven improvements.
• Pragmatists: You are excited to see your models and automated systems successfully deployed in real-world production environments.

Requirements

• Pursuing or completed a degree in Computer Science, AI, Machine Learning, or a related technical field.
• Strong interest in deep learning model training, experimentation, and data-centric AI.
• Proficiency in Python and experience with PyTorch or TensorFlow.
• Competency in a Linux environment (SSH, shell scripting, and CLI-based file management).

Bonus Points

• Hands-on Experience: Previous work with specialized CV frameworks or comparing multiple architectures.
• Modern AI Knowledge: Familiarity with vision-language models or zero-shot detection.
• MLOps Tools: Experience with Git, Docker, or experiment tracking tools (e.g., Weights & Biases, MLflow).
• Video Processing: Knowledge of OpenCV, FFmpeg, or handling video streams.

Internship Details

• Duration: Minimum 6 months (flexible).
• Commitment: 4–5 days per week.
• Location: Singapore-based

Note: Kindly note that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.  With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Research Fellow to pursuing cutting-edge research in nanophotonic devices. The research fellow will apply nanomaterials and cutting-edge nanophotonic principles toward the design of new devices related to X-ray generation and detection.

Key Responsibilities:

• Nanofabrication, simulations, and measurements

• Lead papers and publish in high-impact journals

• Present at top-tier international conferences

• Assist in supervision graduate and undergraduate students

• Assist PI in writing grants

• Assist PI in performing logistics related to the project

Job Requirements:

• PhD degree in physics, engineering or related field

• Good written and oral communication skills

• Proficiency in scientific programming e.g., C, C++, Python etc.

• Competent in teamwork and presenting results in informative visuals

• Interpersonal skill: Ability to work under pressure, Ability to work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational / time management skills

• Entry level candidates are welcome to apply

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

Highlights

• Location - Lentor
• Performance Bonus / AWS / Yearly Increment
• Private well established premium reputable centres

Job Responsibilities

• Plan and implement age-appropriate routines and activities for infants aged 2 to 18 months
• Provide responsive caregiving, including feeding, diaper changing, bathing, and nap supervision
• Ensure infants’ safety, hygiene, and well-being at all times
• Observe and document infants’ developmental milestones, behaviours, and learning progress
• Create a safe, warm, and stimulating environment that supports sensory exploration and early development
• Build strong bonding and trusting relationships with infants through nurturing interactions
• Communicate regularly with parents on feeding, sleeping, toileting, and developmental updates

Requirements

• Minimum Higher Certificate in Infant Care (HCIC Chinese) / Advanced Certificate in Early Years (ACEY Chinese)
• ECDA Certified LON - EY1 / EY2 (Chinese)

Interested Candidates, please send your latest resume to edan@talentsatwork.sg or click apply now!

Edan (R23116697)
Talents@Work Pte Ltd (21C0501)

Highlights

• Location - Dover
• Performance Bonus / AWS / Yearly Increment
• Private well established premium reputable centres

Job Responsibilities

• Plan and implement age-appropriate routines and activities for infants aged 2 to 18 months
• Provide responsive caregiving, including feeding, diaper changing, bathing, and nap supervision
• Ensure infants’ safety, hygiene, and well-being at all times
• Observe and document infants’ developmental milestones, behaviours, and learning progress
• Create a safe, warm, and stimulating environment that supports sensory exploration and early development
• Build strong bonding and trusting relationships with infants through nurturing interactions
• Communicate regularly with parents on feeding, sleeping, toileting, and developmental updates

Requirements

• Minimum Advanced Certificate in Early Years (ACEY)
• ECDA Certified LON - EY2
• Start in May or latest June

Interested Candidates, please send your latest resume to edan@talentsatwork.sg or click apply now!

Edan (R23116697)
Talents@Work Pte Ltd (21C0501)

Job Responsibilities:

• Plan, supervise and implement the programme for the class in accordance with centre’s policies and framework
• Complete progress reports on children for each semester and prepare a developmental portfolio for each child
• Set up and create a stimulating and engaging learning environment that promotes self-directed learning
• Responsible for all aspects of classroom management and carry out routine care duties to ensure safety and hygiene of the children
• Work closely with the other teaching staff in the class in carrying out the duties
• Build and maintain close partnership with parents

Requirements:

• Minimum Diploma in Early Childhood Care and Education
• Certified by ECDA at L2 category
• Excellent communication and interpersonal skills
• High tolerance level towards children is an advantage
• Able to work well independently as well as within a team