Perhaps you have a flair for language and instructions but don’t consider yourself a writer or editor. Your skills could be perfect for the role of expert annotator. 

At Mindrift, we value diverse skill sets beyond just writing and editing so you can still contribute significantly as an Expert Annotator. As an Expert annotator you will specialise in complex annotation tasks for generative AI projects. Your responsibilities include detailed data annotation, task evaluation, material review and ensuring tasks are performed according to instructions. 

Why is the role of Expert Annotator important?

The work done by Expert Annotators is essential in training and refining our advanced AI models.Their meticulous work ensures the quality and accuracy of data used to train generative AI models. By performing detailed annotations, evaluating tasks, reviewing materials, and verifying adherence to instructions, they help to refine and enhance AI performance. This process is vital for developing AI systems that are reliable, effective, and capable of producing high-quality outputs in real-world applications.

What do data annotators actually do?

Our data annotators are responsible for quality assurance – they assess and enhance work quality, offering suggestions for improvement. They also provide instructional guidance, creating concise and effective task instructions for AI projects and developing tasks to help AI tutors deliver quality projects.

For example, you might be asked to take a human-generated dialogue, with prompt questions and answers and decide whether the dialogue is acceptable, along with providing feedback to the editors.

You’ll be asked to approve or make suggestions to the editors to rewrite.

Example of evaluation task

Or you might be asked to check if a three-turn dialogue is concise, logical, and factually correct. The topics may vary from intestinal perforation to the 1971 Indo-Pakistan war.

Example of writing task

One of the joys of this work is that you never know what topic you’ll be asked to provide conversational guidance on.

What skills do I need to become an Expert Annotator? 

You don’t need to be a technical whizz to become an Expert Annotator and you don’t need any previous experience. But if you have a good command of the English language, a keen eye for detail and a willingness to learn new technologies, then this could be the role for you. 

If you’re not ready to become an Expert Annotator, you could work as an entry-level annotator and we have junior data annotation roles available. These roles require accurate data annotation, collaboration with freelance team members and readiness to work with long and detailed instructions to ensure the highest data quality.

Other benefits of being an Expert Annotator

Working as an Expert Annotator allows you to collaborate with fellow professionals, all under the guidance of experienced team leads. The role is  flexible so you can enjoy the freedom of a part-time schedule that respects your primary professional commitments. 

Being an Expert Annotator gives you the opportunity to explore AI projects, enriching your portfolio and gaining experience in the hottest industry – while getting paid! It’s also a great chance to lead a positive change, building AI that people can trust – setting standards for large language models. 

Building your future

As an Expert Annotator, you’ll be able to work on developing additional skills such as project assistance, data quality assurance in AI-related projects and expert data labelling. This skill set is a great foundation for a career in the data labelling/AI/GenAI field. 

What our Expert Annotators say

“This is what made me stay with Mindrift above all. Encouragement, support, and collaborating effectively towards a shared goal is vital in keeping both productivity and motivation up. I believe that no organisation keeps its people for long without it.” – Lance, Expert Annotator, Mindrift

If your profile matches this role, join Mindrift to get paid to learn about AI projects. Visit our landing page to apply.