Junior Software Engineer

As a Junior Software Engineer at Emetlab, you will contribute to building the technology infrastructure behind elite AI training data that powers frontier models worldwide. Emetlab is an AI data infrastructure company delivering expert-produced, rigorously validated datasets and end-to-end AI solutions to laboratories, Fortune 500 enterprises, ambitious startups, and sovereign AI programmes across the globe.

In this role, you will work alongside senior engineers to develop, test, and ship features across our data platform, contributor tools, and client-facing systems. You will gain hands-on experience with large-scale data pipelines, quality assurance automation, and the infrastructure that enables over 5,000 domain experts across 120+ countries to produce world-class training data. You will be trusted with meaningful work from day one, not sidelined with tasks that don't matter.

This is a rare opportunity to begin your engineering career at the intersection of AI and data infrastructure, where your contributions will be visible, valued, and directly tied to the quality of datasets that train the next generation of intelligent systems.

Write clean, well-tested code that contributes to Emetlab's core platform, data pipelines, and internal tooling. Collaborate with senior engineers on the design and implementation of new features across our contributor platform, quality assurance systems, and client delivery infrastructure. Participate in code reviews, giving and receiving feedback that elevates the quality of the entire team's work. Assist in debugging, troubleshooting, and resolving issues across the platform with attention to detail and persistence. Contribute to building and improving automation that supports our multi-stage quality assurance processes and 98%+ accuracy benchmarks. Learn and grow rapidly by engaging with modern tools, frameworks, and AI-adjacent technologies in a production environment.

A degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience through bootcamps, self-directed learning, or personal projects. Foundational knowledge of at least one programming language such as Python, C#, TypeScript, or JavaScript. Familiarity with web development fundamentals including APIs, databases, and version control with Git. A genuine desire to learn, improve, and take ownership of your growth as an engineer. Strong communication skills and a collaborative disposition, comfortable working within a team and asking thoughtful questions. Genuine interest in AI, data systems, or machine learning infrastructure is highly valued.

Employment Type: Full-Time and Part-Time positions available Location: Fully Remote Stage: Growth stage, operational

Emetlab is an AI data infrastructure company built on a single conviction: the quality ceiling of any AI system is determined by its training data, not its architecture or compute. We produce expert-crafted, rigorously validated training datasets across 12 specialised domains, delivered by a global network of over 5,000 vetted domain specialists spanning 100+ languages and 50+ specialisations. Beyond datasets, we offer end-to-end AI solutions including Fine-Tuning, RLHF & Alignment, Red Teaming, Model Evaluation, Data Annotation, Synthetic Data Generation, and Pre-Training Data Pipelines.

We are not a crowd-sourcing platform. We are the data partner that matches the ambition of the teams building the next generation of AI, delivering measurable results: 42% accuracy improvements, 3x faster time-to-production, and 99.4% regulatory precision.

Emetlab is an equal opportunity employer. We welcome dedicated individuals regardless of gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. We believe that extraordinary products are built by extraordinary teams, and extraordinary teams are built on inclusion, respect, and the understanding that brilliance has no single origin.

If you require accommodation during the application or interview process, please reach out to our team and we will ensure your needs are met with care.

Let's build the future of AI training data, together.

Originally posted on Himalayas