SUMMARY
We are looking for enthusiastic and curious AI & Automation Interns who want to build practical AI-powered applications for the localization industry. The intern will work on real-world applications that support localization services such as multimedia localization, content processing, translation workflows, quality checks, and other operational processes.
TECHNICAL SKILLS
Python
Debugging and Error handling
Understanding of how web applications and APIs work
JSON and structured data
Ability to read, understand and work with existing code
Basic knowledge of Git/version control
Good problem-solving ability
REST APIs
Webhooks
SQL/databases
HTML/CSS/JavaScript
Node.js
Cloud platforms
RAG
Embeddings
Vector databases
AI agent frameworks
Workflow automation platforms
AI coding assistants
Application deployment
Large Language Models (LLMs)
Generative AI
AI model APIs
Prompt engineering
Structured outputs
AI agents and AI-assisted workflows
Retrieval-Augmented Generation (RAG)
Embeddings and semantic search
AI-based document and content processing
AI-powered classification and extraction
AI-assisted quality checking
Workflow automation
API-based integrations
WHAT YOU WILL WORK ON
- AI-assisted localization and GTM applications;
- Multimedia - audio and video content processing workflows;
- Transcription and subtitle-related automation;
- AI-assisted translation and content transformation workflows;
- Automated file and content processing;
- Content validation and quality-check applications;
- AI-assisted review and analysis tools;
- Workflow automation between different systems;
- Internal dashboards and operational tools;
- Automated document and data processing;
- Applications that connect AI models with existing business systems;
- Small AI-powered tools designed to eliminate repetitive manual work.
KEY RESPONSIBILITIES
- Use modern AI development tools to build functional applications and prototypes;
- Use prompts effectively to generate application components, code, workflows, and automation logic;
- Experiment with different AI models and approaches;
- Convert business requirements into practical AI-powered workflows;
- Build proof-of-concepts and MVPs;
- Improve existing applications based on user feedback;
- Identify repetitive manual processes that can be automated;
- Build workflows using low-code/no-code automation platforms and AI-enabled tools;
- Connect applications/services using APIs and webhooks;
- Automate data movement, file processing, notifications, validations;
- Test and improve automation workflows;
- Understand AI-generated code before using it;
- Modify or extend AI-generated code;
- Fix bugs unresolved through prompts/configuration;
- Add features;
- Debug application logic, API integrations, data-processing workflows, and automation failures;
- Write simple scripts/utilities;
- Maintain and improve existing AI-assisted code;
- Ensure AI generated code is tested.
TESTING & QUALITY
- Test applications before handing them over to users;
- Check AI-generated outputs for accuracy and consistency;
- Identify incorrect or unexpected AI responses;
- Test different prompts and input scenarios;
- Identify edge cases and failure scenarios;
- Validate API integrations and automation workflows;
- Document full application including bugs and proposed solutions;
- Continuously improve reliability of AI-powered applications.
SECURITY & RESPONSIBLE AI
- Never expose API keys or credentials in application code;
- Follow basic data-security practices;
- Be careful with confidential business or customer data;
- Validate AI-generated outputs before business use;
- Avoid unnecessary sharing of confidential information with public AI tools;
- Follow defined access and data-handling guidelines.
EDUCATION & ELIGIBILITY
Preferred Educational Background:
- Students or recent graduates from Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, Electronics / related technical disciplines.
- Candidates from other technical backgrounds may also be considered if they can demonstrate strong programming and problem-solving ability.
Experience: - Freshers and final-year students are welcome; - Internship, academic project, hackathon, GitHub project, or personal project experience will be considered an advantage; - Professional experience is not required.
WHAT WE ARE LOOKING FOR
- Genuinely curious about AI and automation;
- Enjoy building things;
- Can experiment with new AI tools independently;
- Willing to learn through trial and error;
- Can understand a business problem and think of a technical solution;
- Comfortable using AI to accelerate development;
- Can recognize when AI-generated output is incorrect;
- Willing to write and debug code when required;
- Can work independently on small projects;
- Comfortable asking questions when requirements are unclear;
- Strong logical and analytical mindset;
- Excited about rapidly changing AI technology landscape.
Most Important Attribute: We are looking for a builder, not someone who simply knows AI terminology.
Pay: ₹5,000.00 - ₹8,000.00 per month
Benefits:
Work Location: Remote
