At a Glance
- Tasks: Review and classify content for advanced AI projects while working remotely.
- Company: Leading tech firm specialising in AI with a focus on innovation.
- Benefits: Earn up to $17/hour, flexible hours, and gain valuable experience.
- Other info: Perfect for students seeking part-time work with career growth potential.
- Why this job: Join exciting AI projects and enhance your skills while studying.
- Qualifications: Advanced Italian and B2 English proficiency required.
The predicted salary is between 17 - 17 £ per hour.
A tech firm specializing in AI is seeking an annotator to assist in evaluation tasks.
As an annotator, you will review and classify content as per guidelines while engaging in advanced AI projects.
This remote, part-time role is ideal for those pursuing higher education and requires advanced Italian and B2 English proficiency.
Competitive pay of up to $17/hour is offered depending on experience and skills. #J-18808-Ljbffr
Part-Time Remote AI Annotator & Evaluator employer: Toloka Annotators
At Toloka, we pride ourselves on being an excellent employer by offering flexible freelance opportunities that allow you to work remotely while contributing to cutting-edge AI projects. Our collaborative work culture encourages personal growth and skill enhancement, making it a rewarding environment for those passionate about technology and artificial intelligence. With competitive pay rates and the chance to influence the future of AI, Toloka is the perfect place for motivated individuals looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Part-Time Remote AI Annotator & Evaluator
✨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 Toloka Annotators.
✨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 Toloka Annotators 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 Part-Time Remote AI Annotator & Evaluator
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 Toloka Annotators 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 Toloka Annotators
✨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 Toloka Annotators.
✨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 Toloka Annotators.
✨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 Toloka Annotators, 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 Toloka Annotators 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.
