At a Glance
- Tasks: Review and evaluate AI data outputs to enhance cutting-edge models.
- Company: Join Mercor, a leader in AI research and data quality.
- Benefits: Earn $30–$60 per hour with flexible part-time hours.
- Other info: Structured tasks with clear guidelines and no high-pressure environment.
- Why this job: Make a real impact on AI technology while honing your research skills.
- Qualifications: Masters degree or relevant experience; strong attention to detail required.
The predicted salary is between 30 - 60 £ per hour.
Mercor is looking for detail-oriented generalists with strong research and analytical skills to support data quality control and annotation projects with leading AI labs. You will review, evaluate, and label data outputs to help benchmark and improve cutting‑edge AI models across a variety of domains.
Qualifications
- Currently pursuing or recently completed a Masters degree, or 2‑3 years of relevant experience with a Bachelors from a reputable institution
- Strong attention to detail and ability to apply consistent judgment across large volumes of tasks
- Excellent written communication and research skills
- Ability to understand and follow detailed rubrics and evaluation guidelines
- Background in law, STEM, humanities, or social sciences is a plus
Job Details
- Part‑time commitment of approximately 10‑20 hours at least per week
- Responsibilities include reviewing and rating AI‑generated outputs, annotating data, and flagging quality issues across research and legal domains
- Structured, well‑defined tasks with clear guidelines — no high‑pressure environment
- Immediate start preferred
Application and Onboarding Process
- Submit your resume, followed by a brief (15‑minute) conversation with our AI interviewer to assess research and reasoning skills
- Complete a brief paid assessment to further evaluate your fit for the role
- You will receive follow‑up communication within a few days regarding your application status and next steps
Pay and Legal Status
Compensation is $30–$60 per hour
Data Quality Analyst - Research Focus in London employer: Obsidian
Mercor is an excellent employer for those seeking a meaningful role in the evolving field of AI, offering a flexible part-time commitment that allows for a balanced work-life integration. With a strong emphasis on structured tasks and clear guidelines, employees can thrive in a supportive environment that fosters growth and development, while also enjoying competitive compensation. The company's focus on research and analytical skills provides unique opportunities to contribute to cutting-edge projects alongside leading AI labs, making it an attractive choice for detail-oriented professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Analyst - Research Focus in London
✨Tip Number 1
Get your research game on! Brush up on the latest trends in AI and data quality. This will not only help you in interviews but also show that you're genuinely interested in the role.
✨Tip Number 2
Practice makes perfect! Try out some mock interviews with friends or use online platforms. The more comfortable you are talking about your skills and experiences, the better you'll perform when it counts.
✨Tip Number 3
Don’t underestimate the power of networking! Reach out to professionals in the field on LinkedIn or attend relevant events. You never know who might have a lead on a job or can give you insider tips.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Quality Analyst - Research Focus in London
Some tips for your application 🫡
Tailor Your Resume:Make sure your resume highlights your research and analytical skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant experiences!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data quality and AI. Share specific examples of your attention to detail and any relevant projects you've worked on.
Prepare for the AI Interview:Our AI interviewer will assess your research and reasoning skills, so brush up on those! Think about how you can demonstrate your ability to follow detailed guidelines and apply consistent judgment.
Follow Up:After submitting your application, don’t hesitate to reach out if you haven’t heard back in a few days. We appreciate enthusiasm and want to keep the conversation going!
How to prepare for a job interview at Obsidian
✨Know Your Stuff
Before the interview, make sure you understand the role of a Data Quality Analyst. Brush up on your research and analytical skills, and be ready to discuss how your background aligns with the responsibilities outlined in the job description.
✨Showcase Your Attention to Detail
Since this role requires strong attention to detail, prepare examples from your past experiences where you demonstrated this skill. Whether it’s through academic projects or previous jobs, having specific instances ready will help you stand out.
✨Familiarise Yourself with AI Concepts
Given that you'll be working with AI labs, it’s beneficial to have a basic understanding of AI and data quality control. Research common terms and concepts so you can engage in meaningful conversations during the interview.
✨Practice Clear Communication
Excellent written communication is key for this role. During the interview, practice articulating your thoughts clearly and concisely. You might even want to prepare a few points about how you would approach evaluating and annotating data outputs.
