📍Location  Edinburgh (Relocation Assistance Available)

About Us

We are a VC-backed Scottish AI firm that works with enterprises to build custom AI solutions at scale. We enable enterprises to solve the highest-value problems by distilling smaller, more focused SLMs (Small Language Models).

Our vision is to unlock the value of AI within enterprise environments by addressing complex problems that general AI cannot solve. Malted AI was born out of distillation techniques that helped founders win the 2022 Amazon Alexa Prize where they beat more than 100 teams from around the globe. Since then, the team has raised £7m from leading Venture Capital firms and is helping enterprises deploy AI at scale.

Overview

We are seeking a meticulous and detail-oriented individual to join our team as Machine Learning Data Annotator. As a Data Annotator at Malted AI, you will play a crucial role in improving the accuracy and efficiency of our algorithms and models by meticulously labelling and annotating various types of data.

You will play a key part in creating taxonomies of different types of data and manage quality control annotation projects. As part of the team, you will be at the forefront of the development of Malted AI, shaping our approach to data collection and quality assurance. You will collaborate closely with the machine learning and software development teams to develop new Small Language Models (SLMs) to solve the enterprise’s hardest problems. You will also work with our commercial team as we identify new business verticals to ensure the successful delivery of new product offerings to clients.

Responsibilities

• Review and accurately label various types of data according to predefined guidelines and criteria, ensuring its quality
• Work closely with machine learning engineers to iteratively improve guidelines and datasets analysing annotated data and providing insights to improve algorithms and models.
• Develop and document annotation guidelines and taxonomies for different datasets
• Research and implement new annotation tools and approaches, specifically through leveraging the capabilities of Large Language Models.
• Collaborate closely with cross-functional teams, including the software development and commercial team to support various projects and initiatives.
• Continuously monitor annotation quality through statistical analysis and auditing
• Quickly getting a grasp to new topics to be annotated

Qualifications

• Fast-speed reader and data processing
• Technically savvy