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- Tasks: Enhance AI models by annotating and categorising data with precision.
- Company: Join a leading AI research lab backed by top investors.
- Benefits: Earn $23–$30/hour, work remotely, and gain valuable experience.
- Other info: Daily application reviews and supportive resources available.
- Why this job: Make a real impact on AI systems while working flexibly from anywhere.
- Qualifications: Must have a college degree and experience in data annotation.
The predicted salary is between 18400 - 24000 £ per year.
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Annotation Specialist
Type: Contract
Compensation: $23–$30/hour
Commitment: 20 hours/week
Responsibilities:
- Synthesize information from large volumes of data to enhance AI model performance.
- Annotate and categorize text, images, and other data according to detailed guidelines.
- Apply predefined rubrics and taxonomies to produce structured, high-quality outputs.
- Flag inconsistencies, ambiguities, or errors in datasets to improve data quality.
- Contribute to the improvement of AI systems through consistent annotation work.
Qualifications:
Must-Have:
- Ability to synthesize complex or high-volume information into structured formats.
- Strong critical reasoning, reading comprehension, and written communication skills.
- A college degree and experience with data annotation projects.
Preferred:
- Prior experience applying rubrics, taxonomies, or standardized guidelines.
Application Process:
- Submit your resume to begin.
- Complete a Training Assessment.
Resources & Support:
For details about the interview process and platform information, please check: Interview Process
For any help or support, reach out to: support@mercor.com
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Data Annotation Expert - Fully Remote employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Annotation Expert - Fully Remote
✨Tip Number 1
Get familiar with the company and its mission. Mercor connects top talent with AI research labs, so understanding their goals can help you tailor your approach during interviews.
✨Tip Number 2
Practice your data annotation skills before the interview. Brush up on how to apply rubrics and taxonomies, as this will show you're ready to hit the ground running.
✨Tip Number 3
Don’t hesitate to reach out for support if you have questions about the application process. Use the provided contact info to clarify anything that might be unclear.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and serious about the opportunity.
We think you need these skills to ace Data Annotation Expert - Fully Remote
Some tips for your application 🫡
Craft a Tailored Resume: Make sure your resume highlights your experience with data annotation and showcases your ability to synthesise complex information. We want to see how your skills align with the role, so don’t be shy about tailoring it to fit!
Show Off Your Communication Skills: Since strong written communication is key for this role, ensure your application reflects that. Use clear and concise language, and don’t forget to proofread for any typos or errors – we love attention to detail!
Follow the Guidelines: When you’re completing the Training Assessment, stick closely to the provided rubrics and guidelines. This will show us that you can follow instructions and produce high-quality outputs, which is super important for the job.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and keep track of your progress. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Mercor
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with data annotation processes and the specific types of data you’ll be working with. Brush up on your understanding of rubrics and taxonomies, as these will likely come up during your conversation.
✨Showcase Your Critical Thinking Skills
Prepare examples that demonstrate your critical reasoning and reading comprehension abilities. Think about times when you’ve had to synthesise complex information or flag inconsistencies in datasets, and be ready to discuss these experiences.
✨Communicate Clearly and Effectively
Since strong written communication skills are a must-have for this role, practice articulating your thoughts clearly. You might even want to write down key points you want to convey during the interview to ensure you stay on track.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the role and the company. Consider asking about the team’s current projects or how they measure the success of their AI models.