At a Glance
- Tasks: Review and annotate egocentric video data with precision and attention to detail.
- Company: Join a cutting-edge AI company backed by top investors like Peter Thiel and Jack Dorsey.
- Benefits: Earn up to $25/hour while working fully remote for a short-term contract.
- Other info: Flexible work hours with a quick application process.
- Why this job: Make an impact in the AI field by ensuring video data quality and accuracy.
- Qualifications: Strong attention to detail and ability to follow structured guidelines.
The predicted salary is between 25 - 25 £ 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: AI Data Generalist — Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks
Role Responsibilities
- Review egocentric video data and complete structured quality-review tasks.
- Evaluate action segments within videos for accurate start and end boundaries.
- Adjust or flag incorrect boundaries following provided guidelines.
- Maintain consistent judgment across a high volume of short action segments.
- Complete assigned videos within the project timeline.
Qualifications
Must-Have
- Excellent attention to detail and visual comprehension.
- Ability to distinguish closely related actions and moments in video.
- Comfort with structured, repetitive review work while maintaining accuracy.
- Quick learning and consistent application of detailed annotation guidelines.
- Strong written English communication skills.
Preferred
- Experience with video annotation, data labeling, computer vision datasets, or egocentric video.
Start Date
Monday morning 17th August (PST)
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:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Video Annotation Specialist - Fully Remote | Upto $25/hr 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.
StudySmarter Expert Advice🤫
We think this is how you could land Video Annotation Specialist - Fully Remote | Upto $25/hr in London
✨Tap into Online Data Science Communities
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We think you need these skills to ace Video Annotation Specialist - Fully Remote | Upto $25/hr in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Mercor, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Mercor, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Mercor’s attention and show the tangible impact of your work.
How to prepare for a job interview at Mercor
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Mercor.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Mercor.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Mercor.
