Technology and artificial intelligence are creating new career opportunities across the world. From software development and cybersecurity to AI training, data analysis, machine learning and remote technical support, people can now build careers with companies outside their home countries.
The good news is that you do not necessarily need to work for a major technology company to start a career in tech or AI. Many companies hire remotely, while others work with international contractors, freelancers and specialists.
Major companies and platforms currently advertise opportunities across software engineering, AI research, data, product development and other technical fields. For example, OpenAI Careers lists roles across multiple teams and locations, while Google Careers provides job search filters for areas such as software engineering, design and sales. Anthropic Careers also advertises AI, engineering and other roles.
But how do you actually get started?
This guide explains how to find tech and AI jobs around the world and lists 50 jobs you can consider, from beginner-friendly positions to highly technical careers.
How to Get a Tech or AI Job
1. Choose a Career Path
The technology industry is broad. Instead of applying randomly for every available job, choose an area that matches your interests and skills.
You may be interested in:
- Software development
- Artificial intelligence
- Data analysis
- Cybersecurity
- Cloud computing
- UI/UX design
- Technical support
- Digital marketing
- AI training and evaluation
- Product management
- Web development
Choosing a path makes it easier to know which skills to learn and which jobs to target.
2. Learn the Skills Required for the Job
Different jobs require different skills.
For example, a web developer may need HTML, CSS, JavaScript and backend technologies. A data analyst may need Excel, SQL, Python and data visualization skills. An AI engineer may need Python, machine learning, statistics and experience working with AI systems.
You do not need to learn everything at once. Start with the skills required for one role and build from there.
3. Build Real Projects
Employers want to see evidence that you can use your skills.
If you are learning web development, build websites. If you are learning data analysis, create data projects. If you want to work in AI, experiment with AI applications, model evaluation, prompt testing or automation projects.
Your projects can be displayed through:
- A personal portfolio
- GitHub
- A personal website
- Case studies
- Freelance work
A strong portfolio can sometimes help you stand out more than simply listing courses or certificates.
4. Create a Professional CV and Online Profile
Your CV should clearly show:
- Your skills
- Work experience
- Projects
- Education
- Certifications
- Relevant tools and technologies
You should also create or improve your professional online profile. Make sure your job title and skills match the types of jobs you want.
For example, someone seeking AI evaluation work could highlight skills such as:
AI Evaluation | Data Annotation | English Writing | Content Review | Prompt Testing | Quality Assurance
Do not use one generic CV for every job. Adjust your CV to match the position you are applying for.
5. Search on Global Job Platforms
You can search directly on company career pages or use job platforms that connect professionals with employers.
Some opportunities may be remote, while others may require applicants to live in a particular country or be legally eligible to work there. Always read the location and eligibility requirements carefully.
For example, Turing Jobs says it connects skilled professionals with remote opportunities involving global teams and AI-related work. Its listings include areas such as application engineering and AI advancement.
6. Apply Consistently
Getting a job may require many applications.
Do not apply to one job and wait for weeks before applying again. Create a system:
- Search for relevant jobs daily
- Save promising positions
- Customize your CV
- Write a relevant cover letter when necessary
- Track your applications
- Prepare for interviews and assessments
Consistency is extremely important.
7. Prepare for Online Tests and Interviews
Many tech and AI companies use assessments during recruitment.
You may be asked to complete:
- Coding tests
- Writing tests
- English assessments
- Problem-solving tasks
- AI evaluation tasks
- Data labeling tasks
- Technical interviews
- Take-home projects
Practice explaining your work clearly. If you built a project, be ready to explain what you did, the tools you used and the problems you solved.
8. Do Not Ignore Remote and Contract Opportunities
Not every opportunity starts as a permanent full-time job.
You may find:
- Freelance work
- Contract jobs
- Project-based work
- Remote positions
- Part-time work
- Temporary AI training projects
These opportunities can help you gain experience and build your portfolio.
However, remember that remote does not always mean worldwide. Some companies restrict remote jobs to particular countries, time zones or regions, so always verify the official job listing before applying.
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50 Tech and AI Jobs You Can Get Around the World
Below are 50 careers to consider. Some are beginner-friendly, while others require significant technical training and experience.
Software and Web Development Jobs
1. Frontend Developer
Frontend developers build the parts of websites and applications that users see and interact with.
Skills: HTML, CSS, JavaScript, React and responsive design.
2. Backend Developer
Backend developers build servers, databases, APIs and the systems that power applications.
Skills: Node.js, Python, Java, PHP, databases and APIs.
3. Full-Stack Developer
A full-stack developer works with both frontend and backend technologies.
Skills: Frontend development, backend development, databases and deployment.
4. Software Engineer
Software engineers design, build, test and maintain software applications.
Skills: Programming, problem-solving, algorithms and software architecture.
5. Mobile App Developer
Mobile developers create applications for smartphones and tablets.
Skills: Flutter, React Native, Kotlin, Swift or other mobile technologies.
6. WordPress Developer
WordPress developers build and customize websites using WordPress.
Skills: WordPress, PHP, HTML, CSS and JavaScript.
7. DevOps Engineer
DevOps engineers help companies automate software development, deployment and infrastructure.
Skills: Linux, Docker, Kubernetes, CI/CD and cloud platforms.
8. Cloud Engineer
Cloud engineers build and manage cloud infrastructure.
Skills: AWS, Microsoft Azure, Google Cloud, networking and automation.
9. QA Engineer
Quality assurance engineers test software to identify problems before products are released.
Skills: Manual testing, automated testing, bug reporting and QA tools.
10. API Developer
API developers build systems that allow different applications to communicate with one another.
Skills: REST APIs, databases, backend programming and authentication.
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AI and Machine Learning Jobs
11. AI Engineer
AI engineers build and deploy artificial intelligence systems and applications.
Skills: Python, machine learning, APIs, AI models and data processing.
12. Machine Learning Engineer
Machine learning engineers develop systems that learn patterns from data.
Skills: Python, machine learning, statistics and data engineering.
13. AI Research Engineer
AI research engineers help develop and test advanced AI systems.
Skills: Python, machine learning, deep learning and research.
Companies in the AI industry currently advertise research engineering positions alongside other AI and engineering roles.
14. AI Research Scientist
AI research scientists study and develop new methods in artificial intelligence.
Skills: Deep learning, mathematics, research and machine learning.
15. Prompt Engineer
Prompt engineers design and test instructions that help AI systems produce useful results.
Skills: AI tools, writing, testing, analysis and problem-solving.
16. AI Trainer
AI trainers help improve AI systems by providing examples, feedback and evaluations.
Skills: Writing, research, accuracy and following instructions.
17. AI Data Annotator
AI data annotators label text, images, audio or other data used to train and evaluate AI systems.
Skills: Attention to detail, consistency and data labeling.
18. AI Response Evaluator
AI response evaluators compare and rate AI-generated answers based on quality, accuracy and other requirements.
Skills: Critical thinking, writing and attention to detail.
19. AI Quality Analyst
AI quality analysts review AI systems and outputs to identify errors and improve quality.
Skills: Testing, evaluation, analysis and quality assurance.
20. AI Safety Researcher
AI safety researchers study ways to make AI systems safer and more reliable.
Skills: AI research, machine learning, safety evaluation and analysis.
AI companies such as Anthropic currently have roles connected to areas including model evaluation, safeguards, research engineering and AI safety-related work.
21. Natural Language Processing Engineer
NLP engineers build systems that understand and process human language.
Skills: Python, machine learning, linguistics and NLP libraries.
22. Computer Vision Engineer
Computer vision engineers develop AI systems that understand images and videos.
Skills: Python, deep learning, image processing and computer vision.
23. Data Scientist
Data scientists analyze data and build models to help organizations make decisions.
Skills: Python, SQL, statistics and machine learning.
24. Data Engineer
Data engineers build systems for collecting, processing and storing large amounts of data.
Skills: SQL, Python, databases and cloud platforms.
25. MLOps Engineer
MLOps engineers help deploy, monitor and maintain machine learning models.
Skills: Machine learning, cloud computing, Docker and automation.
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Cybersecurity and IT Jobs
26. Cybersecurity Analyst
Cybersecurity analysts help protect computer systems and networks from security threats.
Skills: Networking, security tools, Linux and threat analysis.
27. Security Operations Center Analyst
SOC analysts monitor systems and investigate possible security incidents.
Skills: Security monitoring, SIEM tools and incident response.
28. Penetration Tester
Penetration testers legally test systems to identify security weaknesses.
Skills: Ethical hacking, networking, Linux and web security.
29. Cloud Security Engineer
Cloud security engineers help secure cloud-based systems and infrastructure.
Skills: Cloud platforms, identity management and cybersecurity.
30. IT Support Specialist
IT support specialists help users solve technical problems.
Skills: Troubleshooting, operating systems, communication and customer service.
31. Network Engineer
Network engineers design and maintain computer networks.
Skills: Networking, routers, switches and network security.
32. Systems Administrator
Systems administrators manage servers, user accounts and company IT systems.
Skills: Linux, Windows Server, networking and troubleshooting.
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Data, Product and Design Jobs
33. Data Analyst
Data analysts collect and interpret information to help organizations make decisions.
Skills: Excel, SQL, Power BI, Tableau and data visualization.
34. Business Intelligence Analyst
BI analysts turn business data into useful reports and insights.
Skills: SQL, Power BI, Tableau and business analysis.
35. Product Manager
Product managers help guide the development of products and coordinate teams.
Skills: Communication, strategy, research and product management.
36. Technical Product Manager
Technical product managers work on products that require a deeper understanding of technology.
Skills: Product management, technical knowledge and communication.
37. UI Designer
UI designers create the visual layout of websites and applications.
Skills: Figma, design principles and visual communication.
38. UX Designer
UX designers focus on making digital products easy and enjoyable to use.
Skills: User research, wireframes, prototypes and usability testing.
39. UX Researcher
UX researchers study how people use products and provide insights to improve them.
Skills: Research, interviews, testing and analysis.
40. Technical Writer
Technical writers create clear documentation and guides for technology products.
Skills: Writing, research and understanding technical concepts.
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Other Technology and AI Jobs
41. Solutions Architect
Solutions architects design technical solutions for businesses and customers.
Skills: Cloud computing, software architecture and communication.
42. Technical Support Engineer
Technical support engineers help customers solve more complex technical problems.
Skills: Troubleshooting, communication and technical knowledge.
43. Database Administrator
Database administrators manage and maintain databases.
Skills: SQL, database systems, security and backup management.
44. Blockchain Developer
Blockchain developers build applications using blockchain technology.
Skills: Solidity, smart contracts, JavaScript and blockchain systems.
45. Web3 Community Manager
Web3 community managers help build and manage online communities around blockchain projects.
Skills: Communication, moderation, social media and Web3 knowledge.
46. Developer Relations Specialist
Developer relations professionals help developers understand and use a company’s technology.
Skills: Technical knowledge, communication, writing and community building.
47. Technical Recruiter
Technical recruiters help companies find qualified technology professionals.
Skills: Recruitment, communication and understanding technical roles.
48. Digital Accessibility Specialist
Accessibility specialists help make websites and applications usable by people with different needs.
Skills: Web accessibility, WCAG, testing and frontend knowledge.
49. Automation Engineer
Automation engineers build systems that automate repetitive processes.
Skills: APIs, Python, JavaScript, automation tools and workflows.
50. AI Automation Specialist
AI automation specialists combine AI tools with software and workflow automation to solve business problems.
Skills: AI APIs, automation platforms, prompting, workflow design and problem-solving.
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Where Can You Find Tech and AI Jobs?
Here are some of the best places to begin your search:
- Official company career pages
- LinkedIn Jobs
- Remote job boards
- Startup job platforms
- Freelance platforms
- AI talent platforms
- Technology communities
- Company career newsletters
For direct company opportunities, start with official job pages because they provide the most reliable information about current openings and eligibility requirements. Examples include OpenAI Careers, Anthropic Jobs and Google Careers.
For remote technical and AI-focused opportunities, you can also explore Turing Jobs, which advertises opportunities involving remote work and global teams, depending on the specific role and hiring requirements.
Important: Check Whether a Job Is Available in Your Country
Before spending hours on an application, check:
- The job location
- Whether remote work is worldwide or restricted
- Whether the company hires contractors internationally
- Work authorization or visa requirements
- Time-zone requirements
- Required experience level
A role may say “remote” but still be limited to the United States, Europe, the United Kingdom or another specific region. Always rely on the official listing rather than assuming you can apply from anywhere.
How to Increase Your Chances of Getting Hired
If you are struggling to get your first tech or AI job, focus on these five things:
Build Skills
Learn the skills required for your target position.
Build Proof
Create projects that demonstrate what you can do.
Build Your Profile
Improve your CV, portfolio, LinkedIn profile and GitHub where relevant.
Apply Smartly
Apply for jobs that actually match your current skills instead of applying randomly.
Keep Learning
Technology changes quickly. Continue improving your skills while searching for opportunities.
Final Thoughts
Getting a tech or AI job around the world is possible, but it requires preparation, skills and persistence. You do not need to become an expert in every area of technology. Choose one career path, learn the required skills, build real projects and start applying.
Whether you want to become a software developer, AI trainer, data analyst, cybersecurity professional, machine learning engineer or AI quality analyst, there are many possible paths into the global technology industry.
Start with the skills you already have, identify the gaps you need to close and keep building your experience. Your first opportunity may be a freelance project, contract role or entry-level position, but it can become the foundation for a bigger career in technology and artificial intelligence.
The most important step is to start. Learn one skill, build one project and submit one application—then keep going
