At a Glance
- Tasks: Review and evaluate AI-generated data to ensure quality and accuracy.
- Company: Mercor, a leader in AI research and data quality control.
- 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: Join a cutting-edge team and make a real impact on AI development.
- 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 employer: Obsidian
Mercor is an exceptional employer that values detail-oriented individuals who thrive in a structured environment. With a commitment to fostering employee growth, we offer flexible part-time opportunities that allow you to balance your studies or other commitments while contributing to groundbreaking AI research. Our supportive work culture encourages collaboration and innovation, making it an ideal place for those looking to make a meaningful impact in the field of data quality and analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Analyst - Research Focus
✨Tip Number 1
Make sure to showcase your attention to detail during the interview. We want to see how you approach tasks and ensure quality, so be ready to discuss examples from your past experiences where you’ve had to apply consistent judgment.
✨Tip Number 2
Brush up on your research skills! Since this role involves evaluating AI outputs, we recommend familiarising yourself with the latest trends in AI and data quality. This will help you stand out when discussing your insights during the interview.
✨Tip Number 3
Don’t underestimate the power of communication! We value excellent written communication skills, so practice articulating your thoughts clearly. You might even want to prepare a few points about how you would explain complex data issues to someone without a technical background.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team at Mercor. Good luck!
We think you need these skills to ace Data Quality Analyst - Research Focus
Some tips for your application 🫡
Craft a Tailored Resume:Make sure your resume highlights your research and analytical skills, especially if you've got experience in data quality control. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Nail the Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re interested in the Data Quality Analyst position and how your skills can help us improve AI models. Keep it concise but impactful – we love a good story!
Prepare for the AI Interview:Before jumping into the AI interview, brush up on your research and reasoning skills. Think about how you would approach evaluating data outputs and be ready to discuss your thought process. We’re keen to see how you tackle challenges!
Follow Up After Applying:Once you’ve submitted your application, don’t hesitate to follow up if you haven’t heard back in a few days. It shows your enthusiasm for the role and keeps you on our radar. We appreciate proactive candidates!
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.
✨Attention to Detail is Key
Since this role requires strong attention to detail, prepare examples from your past experiences where you demonstrated this skill. Think about specific tasks where you had to apply consistent judgment and how that impacted the outcome.
✨Communicate Clearly
Excellent written communication is crucial for this position. Practice articulating your thoughts clearly and concisely. You might even want to write down some key points or examples to refer to during the interview.
✨Familiarise Yourself with AI Concepts
Given that you'll be working with AI-generated outputs, it’s beneficial to have a basic understanding of AI concepts. Research common terms and processes related to AI models so you can engage in informed discussions during your interview.
