At a Glance
- Tasks: Analyse user queries, label data, and review social media content from the comfort of your home.
- Company: Join a global data solutions provider partnered with a major social media platform.
- Benefits: Earn $17.50 per hour with flexible hours and remote work options.
- Other info: Quick onboarding for a project lasting 1-2 months, with potential for ongoing work.
- Why this job: Make an impact on a global project while enjoying the freedom of remote work.
- Qualifications: Fluent English speaker with strong attention to detail and reasoning skills.
The predicted salary is between 17.5 - 17.5 £ per hour.
United Kingdom (en-GB)
Job Title: Data Annotator (UK-Based) Location: Remote (UK residents only, not open internationally)
Pay: $17.50 per hour (approx. 10 to 15 hrs/week, up to a maximum of 30 hrs/week depending on availability)
Essential requirements (please only apply if you meet all of these)
- You must be currently physically located in the UK. This will be verified, and applications from candidates located elsewhere cannot be progressed.
- You must be a fluent English speaker with strong written comprehension.
- You must be eligible to work as a self-employed/freelance contractor (sole trader or via your own Personal Service Company). This will be verified.
Morpheus are partnered with a global data solutions provider working on a project for one of the world's largest social media platforms.
They're looking for detail-oriented, freelance annotators based in the UK to build a global network of independent contractors supporting this project on a flexible, work-from-home basis.
About the role: You'll analyse user search queries, label data, review social media posts and content, and answer questions based on your reasoning and the project guidelines provided.
Because the content is specific to UK local geography and culture, being based in the UK is essential to the work itself, not just a nice-to-have.
Project details
- Duration: approximately 1 to 2 months depending on project status, with potential for ongoing work or transition to other projects based on performance.
- Expected start date: ASAP.
We're onboarding quickly for this project, so please only apply if you can start within the next few days and are able to respond promptly throughout the process.
- Most contributors find that meeting project output needs takes around 10 to 15 hours per week, with flexibility to take on up to a maximum of 30 hours per week depending on project need and your availability.
- Complete freedom to complete those hours at any time of day or night.
What you'll need
- Your own laptop or desktop computer (preferred over other devices)
- Consistent, reliable internet access
- Strong attention to detail and reasoning skills
- Comfort working independently in a remote setting
Please note: while not expected, you may occasionally be exposed to sensitive content as part of this role.
As part of the application process, you'll complete a short assessment. This must be completed independently and without AI assistance; submissions are checked for this.
If you're based in the UK and this sounds like the flexible, remote opportunity you've been looking for, apply now to find out more..
Data Annotator - English speaker in Newcastle upon Tyne employer: Morpheus Talent Solutions
Morpheus Talent Solutions is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the wealth-management AI sector. Employees benefit from competitive compensation packages, including equity and uncapped OTE, alongside opportunities for professional growth and team-building in a supportive environment. Located in the UK, the company prioritises employee development and provides visa sponsorship, making it an attractive choice for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Annotator - English speaker in Newcastle upon Tyne
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Annotator - English speaker in Newcastle upon Tyne
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Annotator - English speaker at Morpheus Talent Solutions, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Morpheus Talent Solutions.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Morpheus Talent Solutions
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
