Work on real problems
Explore problems in government, finance, healthcare, education, climate, retail, and culture. Start with the people and decisions a system needs to support.
Build useful work, understand the thinking behind it, and learn from the people around you.
Explore problems in government, finance, healthcare, education, climate, retail, and culture. Start with the people and decisions a system needs to support.
Connect AI research, data analytics, software engineering, design, communication, education, and social impact. Learn how your contribution fits into the wider work.
Contribute to AI products, research experiments, data platforms, educational activities, or open-source work. Publication and public portfolio use depend on results, review, and permission.
Develop your practice through mentoring, code or design review, research discussions, internal learning, and collaboration across disciplines. Confirm the supervision plan for your role before joining.
Investigate, evaluate, and explain intelligent systems.
Browse 6 rolesBuild dependable interfaces, services, and infrastructure.
Browse 4 rolesUnderstand people and shape clear product experiences.
Browse 2 rolesConnect technology with people, learning, and opportunity.
Browse 6 rolesYour project will depend on the role and team priorities. These are the areas that connect our work.
Data platforms, analytics, and monitoring workflows that help people understand changing situations.
Explore the workAI assistants, knowledge retrieval, model integration, and evaluations grounded in real tasks.
Explore the workCore AI, language and reasoning, vision and multimodal AI, data intelligence, AI engineering, and trustworthy AI.
Explore the workRemote collaboration works when expectations are clear. We value written context, constructive feedback, and questions asked early.
Explain decisions, document what you tried, and share uncertainty.
Use code reviews, design critique, and research discussion to strengthen the work together.
Agree on scope, communicate progress, and raise blockers with context.
Work across backgrounds and disciplines. Ask for clarification and make room for different perspectives.
All roles are internships. All are remote. Bring your curiosity, your current skills, and a willingness to learn.
18 positions
Turn data into tested, useful machine learning systems.
Help machines interpret images and video with measurable reliability.
Make complex tools clear, accessible, and pleasant to use.
Build dependable services behind useful digital products.
Turn messy evidence into analyses people can act on.
Help services stay reliable as work and data grow.
Explore biological questions with careful computational methods.
Create visual interfaces that make intelligent tools understandable.
Bring evidence about people into product decisions.
Help people learn, participate, and connect around data and AI.
Help turn technical knowledge into structured learning experiences.
Explain technical work clearly and responsibly.
Connect shared goals with practical collaboration opportunities.
Translate market needs into well-defined opportunities.
Help prospective customers understand where our work fits.
Investigate useful ideas with reproducible experiments.
Find and reduce failure modes in AI-assisted workflows.
Help protect applications and data through practical security work.
We want to understand your foundations, potential, and approach to learning. Every role has a practical discussion relevant to its work.
Choose a role and share your CV or profile, a project you can discuss, and your availability. Student and personal projects are welcome.
The relevant team reviews your interests, foundations, and examples of work against the role. Applications are reviewed by people; no automated hiring decision is made.
If shortlisted, discuss your work and approach in an online conversation. Any role-specific exercise, scope, and expected time will be explained in advance.
Before you accept, confirm the scope, duration, time commitment, compensation if offered, supervision, and start date in writing.
Yes. All 18 internships listed on this portal are open for applications. Each has a dedicated role page and application form. A submitted application is not an offer or a guarantee of an interview.
Yes. These roles are online and remote. Team coordination follows GMT+7 (Western Indonesia Time). Share your timezone and availability so working-hour overlap can be discussed before an offer.
You can apply with student, personal, community, or open-source work. Show your current foundations and explain your contribution. Each role page lists its relevant skills; a long employment history is not required.
A fixed internship duration, weekly hours, and compensation range have not been published. These must be discussed and confirmed before you accept an offer. The portal does not imply a paid or unpaid arrangement.
You receive an on-screen application reference after your application is saved. The recruitment team reviews submissions and contacts shortlisted applicants using the email supplied. There is no published response-time guarantee. Contact contact@data-sorcerers.com with your reference for corrections or questions.
Share only material you have permission to disclose. A redacted summary is acceptable. Do not include ID documents, bank details, or private client data. For an accessibility adjustment or alternative application format, contact contact@data-sorcerers.com.