At a Glance
- Tasks: Record and annotate software tasks while explaining each step clearly.
- Company: Join a leading AI research lab backed by top investors.
- Benefits: Earn $100/hour, work remotely, and enjoy flexible hours.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make an impact in AI while honing your tech skills.
- Qualifications: Familiarity with software tools like MATLAB and detail-oriented mindset required.
The predicted salary is between 100 - 100 £ 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: Data Collection Specialist
Type: Contract
Compensation: $100/hour
Location: Remote
Commitment: 20+ hours/week
Role Responsibilities
- Record screen sessions demonstrating specific tasks with clear verbal narration explaining each step.
- Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements.
- Follow provided staging instructions to set up specific UI states prior to recording.
- Use a custom capture tool to record workflows accurately and consistently.
- Adhere closely to task guidelines to ensure data quality and usability.
Qualifications
Must-Have
- Strong familiarity with professional software tools such as MATLAB, Origin, Stata, and EViews.
- Fluent in English.
- Detail-oriented and capable of following precise instructions.
- Comfortable working independently and meeting tight deadlines.
- Access to a physical Mac and ability to create a fresh macOS user profile if required.
Preferred
- Prior experience with data collection, annotation, or QA work.
- Experience recording or documenting workflows.
- Comfort working with new tools and staged environments.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
For details about the interview process and platform information, please check: For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Developer Technology Tools Engineer in London employer: Mercor
At Mercor, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Remote Backend Engineer, you'll enjoy the flexibility of working from anywhere while collaborating with cutting-edge AI technology, alongside opportunities for professional growth and development. Our commitment to competitive compensation and a supportive environment makes Mercor an exceptional employer for those seeking meaningful and rewarding work in the tech industry.
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We think this is how you could land Developer Technology Tools Engineer in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Developer Technology Tools Engineer in London
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!
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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!
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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
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✨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.
