Job Overview
Ambiguity Labs is an AI data services company focused on building high-quality training and evaluation datasets for frontier AI models. We collaborate with real-world code repositories and advanced technologies to improve AI model performance in areas like code generation, evaluation systems, and agentic workflows. Our growing team of engineers is dedicated to shaping the future of AI-driven software systems.
We are currently hiring a Software Development Engineer (SDE) Intern to contribute to internal tools, evaluation frameworks, and scalable data pipelines that power next-generation AI models.
Additional Information of the Intern
| Company | Ambiguity Labs |
| Location | Bengaluru |
| Internship Duration | 3 months |
| Salary | ₹ 30,000 – ₹ 35,000 /Month |
| Working Days | 5 Days |
| Internship Type | Work From Home |
| Qualification | Bachelor’s degree |
| Skill | Python, JavaScript, or similar |
| Knowledge | Git and GitHub workflows (branching, pull requests, code reviews) |
Key Responsibilities
– Write, test, and debug clean, maintainable code in Python, JavaScript, or similar languages
– Contribute to internal tools, APIs, and automation frameworks
– Review and analyze code changes from open-source repositories
– Assist in building evaluation pipelines and frameworks for AI training data
– Participate in code reviews and maintain technical documentation
– Develop and maintain data pipelines for AI model evaluation
– Research and apply best practices in software quality, testing, and deployment
Required Qualifications
– Strong proficiency in at least one programming language (Python, JavaScript, or similar)
– Familiarity with Git and GitHub workflows (branching, pull requests, code reviews)
– Understanding of data structures, algorithms, and software design principles
– Ability to navigate and work within large codebases
– Strong written and verbal communication skills in English
Preferred Skills
– Experience with REST APIs and basic web development concepts
– Strong debugging and problem-solving skills
– Exposure to AI/ML concepts (optional but beneficial)
– Self-driven mindset with eagerness to learn and contribute
