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- Tasks: Synthesize and annotate data to enhance AI model performance.
- Company: Join a leading AI research lab backed by top investors.
- Benefits: Earn up to $30/hour with flexible 20-hour work weeks.
- Other info: Dynamic team environment with daily application reviews.
- Why this job: Make a real impact on AI systems while developing your skills.
- Qualifications: Strong critical reasoning and experience in data annotation required.
The predicted salary is between 23 - 30 £ per hour.
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: any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Information Analyst | Upto $30/hr Hourly in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Information Analyst | Upto $30/hr Hourly in London
✨Tip Number 1
Get to know the company! Research Mercor and its mission. Understanding their values and goals will help you tailor your responses during interviews and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice makes perfect! Prepare for common interview questions related to data annotation and AI systems. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 3
Show off your skills! If you have any relevant projects or examples of your work, be ready to discuss them. This is your chance to demonstrate how you can contribute to enhancing AI model performance.
✨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 landing the job!
We think you need these skills to ace Information Analyst | Upto $30/hr Hourly in London
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience with data annotation and any relevant skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your strengths!
Showcase Your Skills: In your application, emphasise your critical reasoning and written communication skills. We’re looking for someone who can synthesise complex information, so give us examples of how you’ve done this in the past.
Follow the Guidelines: When applying, pay close attention to the job description and ensure you follow any specific instructions. This shows us that you can adhere to guidelines, which is super important for the role!
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 ensures you’re considered for the position. Plus, it’s quick and easy!
How to prepare for a job interview at Mercor
✨Know Your Data
Before the interview, brush up on your data annotation skills. Familiarise yourself with common rubrics and taxonomies used in the industry. This will not only show your expertise but also help you answer questions more confidently.
✨Showcase Your Critical Thinking
Be prepared to discuss how you approach complex datasets. Think of examples where you've had to synthesise large volumes of information into structured formats. This will demonstrate your analytical skills and ability to enhance AI model performance.
✨Communicate Clearly
Since strong written communication is a must-have, practice articulating your thoughts clearly. You might be asked to explain your reasoning behind certain annotations or decisions, so being concise and clear is key.
✨Ask Insightful Questions
At the end of the interview, don’t hesitate to ask questions about the company’s data quality processes or the tools they use for annotation. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.