Ambiguity Labs is an AI data services company that creates training and evaluation data for frontier AI models. This article describes the Software Development Engineer intern role: what interns will build, the core responsibilities they will carry out, and the technical and personal skills required to succeed. Use this as a clear summary of the position and expectations.
Role overview
The position is for motivated Software Development Engineer interns who will build internal tools, evaluation frameworks, and data pipelines that support AI model training. Interns will work directly on components used to generate, validate, and manage training and evaluation data for frontier AI models.
Core responsibilities
- Develop and maintain code: write, test, and debug code primarily in Python and JavaScript (or similar languages).
- Evaluate code changes: review and evaluate open-source code changes to ensure quality and fit for the project.
- Build evaluation frameworks: design and implement frameworks used to evaluate model behavior and dataset quality.
- Participate in team workflows: engage in code reviews and contribute to documentation that supports development and evaluation processes.
- Automation and APIs: develop automation scripts, APIs, and data pipelines to streamline data generation and model training workflows.
- Research best practices: investigate and apply practices for code quality, testing, and deployment within the team’s tooling and processes.
Requirements and preferred skills
Requirements focus on solid software fundamentals and collaboration tools:
- Programming: strong understanding of at least one language such as Python or JavaScript (or similar).
- Version control: familiarity with Git/GitHub and version-control workflows.
- Computer science basics: knowledge of basic data structures, algorithms, and software design principles.
- Codebase experience: ability to work with large codebases.
- Communication: strong written and verbal English.
Preferred skills include Python or JavaScript proficiency, Git/GitHub fluency, problem-solving and debugging ability, familiarity with REST APIs and web development basics, and optional AI/ML knowledge. Candidates should be self-motivated and willing to learn.
In summary, the internship at Ambiguity Labs centers on building tooling, evaluation frameworks, and data pipelines to support AI model training. The role emphasizes hands-on coding, code review, automation, and research into engineering best practices, and requires core programming, version-control, and software design skills, plus strong communication and a willingness to learn.
