At a Glance
- Tasks: Review and label data to help AI understand the world better.
- Company: Join Toloka, a leader in connecting people with AI projects.
- Benefits: Earn up to $22 per hour, work remotely, and gain valuable experience.
- Other info: Flexible freelance role that fits around your studies or other commitments.
- Why this job: Be part of exciting AI projects that shape the future of technology.
- Qualifications: Bachelor's degree, advanced English skills, and attention to detail.
The predicted salary is between 22 - 22 £ per hour.
Remember to check your CV before applying. Also, ensure you read through all the requirements related to this role. hackajob is partnering directly with Toloka to hire for this role. Please submit your resume in English and indicate your level of English.
At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence. The Toloka Annotators connect individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.
About the Role: Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.
Responsibilities:
- Carefully review provided data (text, images, or videos)
- Label or classify content based on project guidelines
- Identify and flag factually incorrect, sensitive, inappropriate, or unclear material
Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities. Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $22 per hour equivalent.
Requirements:
- Bachelor's degree in any discipline
- Minimum 1 year of experience in any professional role
- Advanced level of English (C1 or higher), both written and spoken
- Logical thinking, fact-checking and reasoning abilities
- Strong attention to detail and ability to understand and follow complex instructions
- Strong communication skills, including the ability to ask clarifying questions when needed
- Genuine interest in technology and artificial intelligence
Benefits:
Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience.
AI Trainer - Freelance Data Annotator in London employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Trainer - Freelance Data Annotator in London
✨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.
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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?
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We think you need these skills to ace AI Trainer - Freelance Data Annotator in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like AI Trainer - Freelance Data Annotator at Hackajob, 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 Hackajob.
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 Hackajob
✨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!
