At a Glance
- Tasks: Evaluate search results to enhance AI models and improve user experience.
- Company: Join a cutting-edge company backed by top investors in the tech industry.
- Benefits: Earn $30–$40/hour with flexible remote work hours.
- Other info: Perfect for web-savvy individuals with interests in niche topics.
- Why this job: Make a real impact on AI technology while working from anywhere.
- Qualifications: Strong English skills and attention to detail are essential.
The predicted salary is between 40 - 40 £ per hour.
About the job
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
Search Generalist
Type
Contract
Compensation
Location
- Remote
- Role Responsibilities
- Conduct daily search queries and rate the results to improve
AI model outputs .
- Complete assigned queries each day to ensure timely evaluation.
- Provide short notes and annotations to enhance training data quality .
- Work independently and asynchronously to meet deadlines with flexible hours .
Qualifications
- Must-Have
- Everyday web users who can judge page relevance.
- Strong written
English skills.
- Careful, consistent, and detail-oriented.
- Preferred
- Deep interest or expertise in specific areas, such as basketball or reality TV.
- Proficiency in other languages.
- Resources & Support
- For details about the interview process and platform information, please check: https://talent. docs. mercor. com/welcome
- For any help or support, reach out to: support@mercor. com
- #J-18808-Ljbffr
Search Evaluator - Fully Remote employer: Mercor
Mercor is an exceptional employer that champions innovation and creativity in the AI sector, offering a fully remote work environment that promotes flexibility and independence. With a strong focus on employee growth, team members are encouraged to take ownership of their projects while benefiting from a supportive culture that values collaboration and continuous learning. Joining Mercor means being part of a forward-thinking company backed by industry leaders, where your contributions directly impact cutting-edge search technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Search Evaluator - Fully Remote
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Mercor!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Search Evaluator - Fully Remote at Mercor.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mercor.
✨Apply Directly through Our Website
When you find a suitable opening like Search Evaluator - Fully Remote at Mercor, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Search Evaluator - Fully Remote
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mercor, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mercor. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mercor
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mercor!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
