828 AI And Data jobs in Singapore

We are hiring globally

We are looking for AI Data Specialists to support the improvement of AI-generated content in English.

Job Type:
Freelance

Location:
Remote

Work Schedule:
Part-time - 10+ hours per week. Flexible - work whenever you want.

Start Date:
Immediately

Duration:
Until the end of December 2025 (an extension is possible)

Rate:
17/h USD

Help Shape the Future of AI
Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today's AI models?

What You'll Do
The role involves performing diverse data-related tasks, including:

• Data collection, evaluation, and annotation
• Pairwise comparisons
• Counting tasks
• Object tagging and labeling across different content types (audio, video, images, or collected data)

Important:
The use of AI tools or Large Language Models (LLMs) to complete assigned tasks is strictly prohibited. Any use of such tools will be considered a violation of the project requirements, resulting in non-payment and immediate removal from the project.
What we're looking for:

• English Proficiency: Advanced proficiency in English at B2, C1, C2, or Native level
• AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling

What We Offer

• 100% remote work
• Flexible schedule
• Opportunity to earn extra income
• Timely payments
• The job is ideal for students, part-timers, or stay-at-home parents

Please apply using a GMAIL account if you have one.
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

Company

Real Estate Analytics Pte Ltd

rea-

Designation

AI Data Intern

Date Listed

11 Jul 2025

Job Type

Entry Level / Junior Executive

Intern/TS

Job Period

From Aug 2025, For At Least 4 Months

Profession

IT / Information Technology

Industry

Real Estate

Location Name

Singapore

Allowance / Remuneration

$1,200 monthly

Company Profile

At Real Estate Analytics, we are a forward-thinking, data-driven organization committed to innovation. Our data is the lifeblood of our business, and we are constantly seeking new ways to make our data infrastructure smarter, faster, and more reliable. We foster a culture of learning, collaboration, and impact, where every team member has the opportunity to make a difference.

The Role: A Glimpse into the Future of Data Engineering

We are seeking a motivated and creative AI in Data Engineering Intern to join our dynamic data team. This is a unique opportunity to work at the intersection of Artificial Intelligence, data engineering, and cloud computing.

You won't be just running queries; you'll be building the future. Your core mission will be to research, design, and develop AI-powered tools that monitor, analyze, and optimize our data pipelines. Your work will directly enhance the efficiency, reliability, and cost-effectiveness of our entire data ecosystem, providing you with a high-impact project for your portfolio.

Job Description

What You'll Do (Key Responsibilities):

• Analyze & Identify: Use your SQL skills to query pipeline metadata, logs, and performance metrics to identify bottlenecks, inefficiencies, and patterns of failure.

• Research & Design: Investigate and prototype AI/ML solutions to address key pipeline challenges. This could include:

• Predictive models for pipeline runtimes or resource consumption.

• Anomaly detection systems to flag data quality issues or pipeline delays in real-time.
• Generative AI tools to automate boilerplate code generation or create documentation.
• Build & Develop: Write clean, efficient, and well-documented Python code to build these tools. You'll work with libraries like Pandas, Scikit-learn, TensorFlow/PyTorch, and frameworks like Flask or FastAPI to create services.
• Deploy & Automate: Containerize your applications (e.g., using Docker) and deploy them to our cloud environment (e.g., AWS Lambda, Google Cloud Functions, Azure Functions). You'll gain hands-on experience in bringing a tool from concept to production.
• Collaborate & Present: Work closely with our senior data engineers, data scientists, and platform architects. You will be expected to present your findings, progress, and final project to the team and key stakeholders.

Who You Are (Qualifications):

Required:

• Currently pursuing a Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Software Engineering, Statistics, or a related technical field.
• Strong proficiency in Python and experience with its data-centric libraries (e.g., Pandas, NumPy, Scikit-learn).
• Solid understanding of SQL and experience querying relational databases (e.g., PostgreSQL, MySQL, Snowflake, BigQuery).
• A foundational understanding of machine learning concepts (e.g., regression, classification, clustering).
• Familiarity with cloud computing concepts (AWS, GCP, or Azure).
• An insatiable curiosity, a desire to learn, and a proactive, problem-solving mindset.

Bonus Points (Preferred Qualifications):

• Prior experience with data orchestration tools like Airflow, Dagster, or Prefect.
• Hands-on experience with Docker for containerization.
• Experience building and deploying simple APIs using Flask or FastAPI.
• Familiarity with Infrastructure as Code (e.g., Terraform, AWS CloudFormation).
• Interest or experience with Large Language Models (LLMs) and their application via APIs (e.g., OpenAI, Anthropic).

What We Offer (The Intern Experience):

• Real-World Impact: Work on a meaningful project that will be integrated into our production systems and deliver tangible value.
• Dedicated Mentorship: Receive guidance and support from an experienced senior engineer who will help you navigate your project and career goals.
• Hands-On Learning: Gain practical experience across the full development lifecycle—from ideation and research to deployment and monitoring in a professional cloud environment.
• Networking: Connect with professionals across our engineering, product, and business teams.
• A Great Portfolio Piece: Leave with a completed, high-impact project that you can showcase to future employers.

How to Apply

Interested candidates should submit their resume and a brief cover letter or statement of interest explaining why you are excited about the intersection of AI and data engineering. Please include a link to your GitHub profile or any relevant projects if available.

Application Instructions

How to Apply

Interested candidates should submit their resume and a brief cover letter or statement of interest explaining why you are excited about the intersection of AI and data engineering. Please include a link to your GitHub profile or any relevant projects if available. Email to

Apply for this position

Our client, one of Asia-Pacific's leading organizations is looking for:

AI Data Scientist

Responsibilities:

• Conduct exploratory data analysis to extract insights and patterns that inform AI model design and development
• Perform data cleaning, validation, and transformation (feature engineering) required by AI models
• Design, develop, and evaluate AI models to address specific business needs
• Deploy AI models into production environments, ensuring scalability, reliability, and performance
• Implement and maintain model monitoring systems to track performance metrics and identify when models require retraining or adjustment.
• Maintain reusable central feature store for AI model training and deployment
• Implement automated pipelines for model training, validation, and deployment, adopting fit-for-purpose industry practices
• Collaborate with cross-functional teams (e.g. data engineers, IT consultants, business users) to achieve project outcome
• Present outputs from business analyses to HPB stakeholders, to translate data-driven insights into programme design and delivery

Requirements:

• Bachelor / Master / PhD in Analytics, AI / Data Science, Computer Science, Engineering or Information Systems with major / project experience in data science and/or business analytics from a recognised university.
• Minimum 3 years of working experience in data science or developing AI/ML, including experience wrangling data in cloud-based analytics platforms and tools (e.g. Microsoft Azure, Databricks, Spark Ecosystems)
• Must be proficient in Python and possess adeptness with large-scale datasets.
• Adaptive in a fast-paced matrix environment, overseeing multiple projects concurrently within an agile environment
• Possesses strong problem resolution, attention to detail and effective communication skills to manage and deliver complex projects involving internal and external stakeholders

-

Interested applicants can also email CV at (for faster processing, please state the exact job / position title applied "AI Data Scientist"

Only shortlisted candidates will be notified.

-

EA License Number: 10C3636

EA Personnel Name: Jagveer Singh Arora

EA Personnel Registration Number: R

By applying for this role, you have read and acknowledge the Data Privacy statement -

Machine Learning Engineer

We are seeking an experienced Machine Learning Engineer to partner with our data science and business teams to define and develop cutting-edge ML solutions.

• Design, develop, and deploy ML models in production using best practices for ML Operations (CI/CD, monitoring, versioning).
• Build and maintain scalable data pipelines to ensure model performance and reliability.
• Ensure compliance with AI governance and responsible AI practices.
• Support data exploration, feature engineering, and model development as needed.

A successful candidate will have a strong background in AI/ML or data science, with a proven track record of designing and developing effective ML solutions.

• Master's degree in AI/ML or data science.
• At least 6 years' experience in data science and ML, including at least 3 years in ML engineering roles.
• Hands-on experience across the full ML lifecycle: data preparation, model development, deployment, and monitoring.
• Strong Python programming skills and familiarity with popular ML frameworks.
• Proficiency in NoSQL databases and use of ML Operations tools.
• Experience with cloud platforms, CI/CD pipelines, and containerization.
• Knowledge of responsible AI practices, governance, and techniques like NLP and supervised/unsupervised learning.

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| --- | --- | Salary |
| Job Type Freelance | Posted
Today # (Hiring) AI Data Specialist @RWSOct 13, 2025 - RWS is hiring a remote AI Data Specialist.
Salary: 17 usd/hour. Location: Singapore.We are hiring globally!We are looking for **AI** **Data Specialists** to support the improvement of AI-generated content in **English**.**Job Type:** Freelance**Location:** Remote***Work Schedule:***Part-time - 10+ hours per week. Flexible - work whenever you want.**Start Date:** Immediately**Duration:** Until the end of December 2025 (an extension is possible)**Rate:** 17/h USD**Help Shape the Future of AI***What You’ll Do**The role involves performing diverse data-related tasks, including:- Data collection, evaluation, and annotation.- Pairwise comparisons.- Counting tasks.- Object tagging and labeling across different content types (audio, video, images, or collected data)***Important:*** *The use of AI tools or Large Language Models (LLMs) to complete assigned tasks is strictly prohibited. Any use of such tools will be considered a violation of the project requirements, resulting in non-payment and immediate removal from the project.***What we’re looking for:***- English Proficiency:* Advanced proficiency in English at B2, C1, C2, or Native level.*- AI & Data Capabilities (Preferred):* Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.**What We Offer**- 100% remote work- Flexible schedule- Opportunity to earn extra income- Timely payments- The job is ideal for students, part-timers, or stay-at-home parents**Please apply using a GMAIL account if you have one.***RWS embraces DEI** and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.About The CompanyRWSSimilar Remote Jobs* $90 - $50 /hou.
Americas
Europe
Israel
Featured* 120 - 170 /ho.
Americas
Europe
Israel
Featured* 50k- 80K
CET +/- 3 HOURS
1wk agoKickstart Your Job SearchBefore You Apply️|
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| Be aware of the location restriction for this remote position: **Singapore** |
| Beware of **scams**! When applying for jobs, you should NEVER have to pay anything. |Back to
> AI Data Data |
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| --- | --- | Salary | Remote Location
Singapore | Job Type Freelance | Posted
Today |️|
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| --- | --- |
| Be aware of the location restriction for this remote position: **Singapore** |
| Beware of **scams**! When applying for jobs, you should NEVER have to pay anything. |
#J-18808-Ljbffr

We are hiring globally! We are looking for
AI Data Specialists
to support the improvement of AI-generated content in
English .
Job Type:
Freelance
Location:
Remote
Work Schedule:
Part-time – 10+ hours per week. Flexible – work whenever you want.
Start Date:
Immediately
Duration:
Until the end of December 2025 (an extension is possible)
Rate:
17/h USD
Help Shape the Future of AI
Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?
What You’ll Do
The role involves performing diverse data-related tasks, including:
Data collection, evaluation, and annotation.
Pairwise comparisons.
Counting tasks.
Object tagging and labeling across different content types (audio, video, images, or collected data)
Important:
The use of AI tools or Large Language Models (LLMs) to complete assigned tasks is strictly prohibited. Any use of such tools will be considered a violation of the project requirements, resulting in non-payment and immediate removal from the project.
What we’re looking for:
English Proficiency:
Advanced proficiency in English at B2, C1, C2, or Native level.
AI & Data Capabilities (Preferred):
Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.
What We Offer
100% remote work
Flexible schedule
Opportunity to earn extra income
Timely payments
The job is ideal for students, part-timers, or stay-at-home parents
Please apply using a GMAIL account if you have one.
RWS embraces DEI
and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
Source Remotive: easily access active and fully remote job opportunities in Software Development from vetted tech companies.
#J-18808-Ljbffr

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative MNC environment.

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor's Degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

Your recruiter for this job:

WhatsApp Chally @ for a quicker response

Connect with me on LinkedIn:

Chally |

Talentsis Pte Ltd | EA No: 20C0312

Overview
MINDS has been caring for Persons with Intellectual Disabilities (PWIDs) and their families since 1962.
Grounded in the belief that all PWIDs have innate abilities and talents, MINDS is committed to empowering them and enhancing their quality of life, while advocating for greater inclusivity for PWIDs as a nation.
MINDS is today one of the largest charities in Singapore employing more than 850 staff. With the key focus to expand community-based services, improving the employability of PWIDs, strengthening education, and engendering inclusive community living, MINDS offers a holistic range of services and programmes across the PWIDs' lifespan.
These include schools, employment and training development centres, home-based care services and community-based services to cater to the physical, psychological, environmental and social needs of PWIDs. For more information, please visit
Responsibilities
This position is a technology leader responsible for driving execution and delivery of data, analytics, and AI initiatives in alignment with MINDSG Ltd's Vision and Mission. The deputy director will lead delivery and execution efforts across IT infrastructure, enterprise systems (including NetSuite and SAP), data analytics and artificial intelligence. This role ensures the execution of the set technological initiatives to improve organisational effectiveness and deliver better outcomes for clients, caregivers, volunteers, donors and staff.
Strategic Technology Leadership
Support the development of a future-forward technology roadmap prioritizing key initiatives
Advise on emerging technologies, risks, and digital opportunities to improve client experience, service delivery, and operational efficiency.
Collaborate with Heads of Departments, Centers, and Corporate Services to roll out technology initiatives
Lead digital transformation initiatives, including system integration
Enterprise Systems & Applications
Directly lead the implementation, optimisation, continuous improvement, and integration of enterprise resource planning (ERP) systems, including NetSuite and/or SAP.
Drive execution of projects to be delivered on time, within budget, and with measurable outcomes that support the organisation's strategic objectives.
Drive deployment of ERP-related initiatives to finance, HR, and service teams to ensure system usability and productivity improvement.
Data, AI & Automation
Support development and execute a data strategy, including data governance, architecture, quality, and accessibility across departments.
Directly drive the execution of the development and adoption of:
Data integration, master data management (MDM), advanced data analytics, and data development practices.
Generative AI-related initiatives to ensure ethical use, enhance knowledge management, client communication, and productivity
Robotic Process Automation (RPA) to streamline repetitive processes such as reporting, compliance tracking, and client administration.
IT Operations & Security
Manage and ensure initiatives/ projects meets IT policies, cybersecurity strategies, and disaster recovery plans stays updated and relevant.
Maintain business continuity and disaster recovery protocols in relation to data development and AI
Ensure compliance with regulatory requirements including PDPA, IMDA standards, and data ethics.
Digital Inclusion & Innovation
Support promotion of digital equity by collaborating with frontline teams to design inclusive, accessible digital solutions.
Drive test and scale tech pilots in collaboration with programme teams and external partners.
Evaluate and select emerging technologies and service partners to enhance service access and outcomes.
Leadership & Capacity Building
Hands-on leader and capable of building, leading, and developing a high-performing technology delivery team
Able to effectively communicate and engage organization-wide stakeholders to build digital literacy
Foster a culture of continuous learning and ethical innovation.
Stakeholder Engagement & Partnerships
Collaborate with sector peers and start-ups to co-develop scalable social impact solutions.
Manage external vendors, consultants, and technology partners to support delivery where necessary.
Build strong working relationships with internal stakeholders to ensure alignment and smooth execution of projects.
Support partnership with funders, tech vendors, and institutions to co-create solutions and secure technology grants.
Qualifications
Bachelor's degree in Information Systems, Computer Science, Engineering, or related field.
Other Information
At least 8 years of technology delivery and project management experience
Proven delivery experience with ERP systems (NetSuite and/or SAP will be a plus)
Strong hands-on experience with the delivery of data engineering, cloud platforms, data analytics platforms, integration platforms/middleware, and AI
Execution-driven with a strong bias for action and results. Pragmatic problem-solver who can adapt solutions to real-world social service contexts.
Innovative, excellent analytical and critical thinking skills with a high attention to detail.
Good communication and interpersonal skills in engaging and working in a multi teams environment
Strong understanding of best technology practices and business processes.
Passion for using technology to create social impact
Knowledge of ERP integrations and automation tools.
Experience with BI tools, SQL, Python, Power Platform, UiPath, or OpenAI APIs.
Experience in social service, healthcare, or government sectors.
Experience working in a technology consulting environment.
Certifications such as PMP, ITIL, SAP, NetSuite Administrator/Professional, etc.
#J-18808-Ljbffr

Our client is a global technology consulting firm that helps organisations build trust, improve performance and deliver end-to-end transformation—from strategy through to execution.

Lead AI and data transformation growth and solutioning for priority clients in Southeast Asia. You will combine commercial ownership with technical leadership to advise on data management, governance, platform architecture and applied AI (traditional ML and GenAI), turning complex needs into practical, scalable outcomes.

• Shape client strategies that link business objectives to data-driven outcomes and measurable value.
• Lead data readiness assessments, solution blueprinting and proposals for analytics, AI and cloud solutions.
• Act as a primary liaison in senior stakeholder engagements and negotiations, building confidence in delivery capabilities.
• Translate business needs into technical and functional architectures; present clear solution narratives to executive audiences.
• Drive pipeline creation and conversion; identify opportunities, define win strategies and close high-value engagements.
• Lead cross-functional teams to design and deliver responsible, secure and scalable AI/data solutions.
• Contribute to thought leadership, offering development and partnerships to support sustainable growth.

• Senior-level experience in AI, data and analytics within enterprise environments, including leading complex programmes with commercial outcomes.
• Proven track record in solutions architecture across data platforms, ML/GenAI workflows and major cloud ecosystems.
• Comfortable engaging C-suite stakeholders; able to explain complex topics to both technical and non-technical audiences.
• Team leadership experience, including mentoring talent and coordinating multi-disciplinary delivery.
• Understanding of responsible AI, data governance and risk management.
• Bachelor's degree in Computer Science, Data/Information Systems, Engineering, Business or related field.
• Postgraduate qualifications in AI/ML or Business Administration are advantageous.
• Relevant certifications in AI/ML, cloud, data engineering and/or project delivery are desirable.

EA: 14S7084 | Registration No: R