At a Glance
- Tasks: Help improve AI-generated content through data collection and evaluation.
- Company: Join a forward-thinking company shaping the future of AI.
- Benefits: 100% remote work, flexible hours, and competitive pay.
- Other info: Great opportunity for career growth until December 2025, with potential for extension.
- Why this job: Perfect for students or anyone seeking extra income with a flexible schedule.
- Qualifications: Advanced English proficiency and some experience in AI or data tasks preferred.
Job Overview
We are hiring globally! We are looking for AI Data Specialists to support the improvement of AI-generated content in English.
Job Details
Job Type: Freelance
Location: Remote
Work Schedule: Part-time – 10+ hours per week. Flexible.
Start Date: Immediately
Duration: Until the end of December 2025 (extension possible)
Rate: 20/h USD
What You’ll Do
The role involves performing diverse data-related tasks, including:
- Data collection, evaluation, and annotation
- Pairwise comparisons
- Counting tasks
- Object tagging and labeling across different content types (audio, video, images, or collected data)
Important
⚠️ Important: The use of AI tools or Large Language Models (LLMs) to complete assigned tasks is strictly prohibited. Any use of such tools will be considered a violation of the project requirements, resulting in non-payment and immediate removal from the project.
What We’re Looking For
- English Proficiency: Advanced proficiency in English at B2, C1, C2, or Native level
- AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling
What We Offer
- 100% remote work
- Flexible schedule
- Opportunity to earn extra income
- Timely payments
- The job is ideal for students, part-timers, or stay‑at‑home parents
Please apply using a GMAIL account if you have one.
RWS embraces DEI and promotes equal opportunity. RWS is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
AI Data Specialist - United Kingdom in City of London employer: RWS Group
Join a forward-thinking company that values flexibility and inclusivity, offering a fully remote freelance role as an AI Data Specialist. With a commitment to diversity, equity, and inclusion, we provide opportunities for meaningful work that fits around your lifestyle, making it ideal for students, part-timers, or anyone seeking extra income while contributing to the advancement of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Specialist - United Kingdom in City of London
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We think you need these skills to ace AI Data Specialist - United Kingdom in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at RWS Group
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
