At a Glance
- Tasks: Support data and AI projects by organising information and ensuring smooth operations.
- Company: Join a dynamic team in a fully remote work environment.
- Benefits: Flexible scheduling, weekly payments, and opportunities for skill development.
- Other info: Perfect for those interested in research, content, and data-related work.
- Why this job: Make an impact in the AI field while working from anywhere.
- Qualifications: Strong English communication skills and attention to detail required.
The predicted salary is between 4000 - 6400 £ per month.
Employment Type: Remote (Part-Time/Contract)
Location: Remote within one of the following countries: United States, United Kingdom, Canada, Ireland, Australia, or New Zealand.
Compensation: Estimated range: USD 5,000–8,000 per month, depending on location, experience, scope of responsibilities, and performance expectations for a full-time schedule.
About the Role
This role supports day-to-day operational, content, research, data, and AI-related activities to help ensure smooth delivery across multiple projects in a fully remote environment. You will collaborate closely with the team to keep information organised, tasks on track, and workflows efficient.
Key Responsibilities
- Assist with project tasks such as content preparation, data entry and maintenance, online research, basic analysis, operations support, AI-output review, documentation, and coordination.
- Review, organise, and update information with a high level of accuracy and attention to detail.
- Communicate clearly with team members through written and verbal channels and provide timely updates on task status and progress.
Skills & Qualifications
- Strong command of written English and clear, professional communication skills.
- Comfort using digital tools such as email, spreadsheets, project management or online productivity platforms.
- Analytical mindset with strong attention to detail and accuracy.
- Ability to manage time, prioritise tasks, and work independently in a remote environment.
- Interest in operations, research, content, customer support, or data-related work is helpful but not required; training and onboarding will be provided.
What We Offer
- 100% remote work within the listed countries, with flexible scheduling aligned to team needs and agreed time zones.
- Weekly payments via secure, compliant payment methods, with a clear and transparent compensation structure.
- Opportunities to build skills in research, content operations, data handling, and AI-related workflows.
- A supportive work culture that encourages feedback, learning, and long-term professional growth.
(You must be legally authorised to work in the country where you are based)
We welcome applicants from all backgrounds and make hiring decisions based solely on qualifications, experience, and business needs, in line with applicable employment and anti-discrimination laws.
Apply now to be considered for this opportunity.
Data Annotation Specialist (Remote) in Hull employer: Hire Sync
As a Data Annotation Specialist, you will thrive in a fully remote environment that champions flexibility and work-life balance. Our supportive culture prioritises professional growth, offering opportunities to enhance your skills in research, content operations, and AI workflows, all while enjoying the convenience of weekly payments and a transparent compensation structure. Join us to be part of a diverse team that values your contributions and fosters an inclusive atmosphere for all.
StudySmarter Expert Advice🤫
We think this is how you could land Data Annotation Specialist (Remote) in Hull
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Hire Sync.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Hire Sync and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Data Annotation Specialist (Remote) in Hull
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Hire Sync aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Hire Sync
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Hire Sync.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Hire Sync.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Hire Sync, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Hire Sync will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
