At a Glance
- Tasks: Process and analyse diverse data types to enhance AI capabilities.
- Company: Join a leading tech company at the forefront of AI innovation.
- Benefits: Earn up to £140 per day with a fully on-site contract.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Shape the future of human-technology interaction and tackle real-world challenges.
- Qualifications: Fluency in Arabic and English, with strong analytical skills required.
The predicted salary is between 28000 - 35000 £ per year.
Join a global leader in technology, a pioneering force at the forefront of Artificial Intelligence and the responsible development of large language models (LLMs).
This is an unparalleled opportunity to shape the future of human-technology interaction.
We are seeking an individual who not only thinks outside the box but actively expands its boundaries, ready to make a significant impact from day one.
If you are passionate about data, innovation, and contributing to groundbreaking AI initiatives, your journey begins here.
About The Role
As a key contributor, you will play a crucial role in advancing AI capabilities by ensuring the highest quality of data.
Your expertise will directly influence the development and refinement of cutting-edge machine learning models, driving innovation and enhancing user experiences across various products and services.
This position offers a unique chance to be at the heart of technological transformation, contributing to projects that tackle some of humanity’s most challenging problems.
This is a 3-month, fully on-site contract, offering up to £140 per day – 40 hrs/week (PAYE).
The shortlisted candidates will be contacted ASAP.
Due to the high volume of applicants, we may be unable to reply to each applicant individually.
Key Responsibilities
- Uphold the highest standards of confidentiality, prioritizing customer privacy in all data handling.
- Process and analyze diverse data types, including text, speech, image, and video.
- Produce high-quality labelled data, adhering to established guidelines and utilizing proprietary tools to meet key performance indicators (KPIs).
- Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, crafting factually and grammatically correct responses, ranking content, and performing precise text, speech, image, and video annotations.
- Exercise sound judgment and make logical decisions, even when faced with ambiguous information.
- Exhibit exceptional attention to detail and the ability to seamlessly transition between varying task requirements.
- Contribute to daily operational deliverables, including average handling time (AHT), quality, and turnaround time (TAT) across multiple task types.
- Master the end-to-end data execution process for labelling tasks, demonstrating autonomy and reduced reliance on explicit work instructions.
- Participate in root cause analysis, identifying error patterns and proposing solutions to enhance data labelling quality.
- Proactively identify and address day-to-day process and operational issues within standard operating procedures (SOPs) and tools, suggesting improvements to optimize workflows.
- Provide direct support to colleagues, clarifying internal queries and ensuring smooth task execution.
- Required Qualifications
- An Associate's degree or equivalent professional work experience.
- CEFR C1+ or equivalent fluency in Arabic.
- Essential written and spoken proficiency in English (CEFR C1+).
- Strong business writing skills, capable of producing reports, proposals, and professional correspondence.
- Advanced reading comprehension, with the ability to analyze complex business documents.
- Developed analytical thinking and structured problem-solving abilities.
- Proven capacity to interpret and execute detailed instructions across diverse projects.
- Proficient research skills, including experience in gathering and synthesizing information from multiple sources.
- Demonstrated meticulous attention to detail in handling complex tasks and documents.
- Desired Qualifications
- A Bachelor's degree in a relevant field.
- Professional work experience showcasing strong task execution capabilities.
- Demonstrated ability to effectively utilize open-source resources for thorough research.
- Adaptability and resilience in fast-paced environments with evolving circumstances and strategies.
- Experience in project coordination or management.
- Proficiency in managing stakeholder relationships across various departments.
- Advanced proficiency in Microsoft Office Suite and other common business applications.
- Client Description
Our Client is a FTSE 100, multinational technology company no longer known for just one thing.
Their areas of expertise include e-commerce, cloud computing, digital streaming, artificial intelligence, original entertainment… the list goes on.
Despite being primarily digital, their aim is to be the most customer-centric company in the world.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer.
We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities.
We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
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AI Data Associate - Arabic [211846] employer: Aquent
Aquent is an exceptional employer, offering a dynamic and collaborative work culture in the heart of London. With a focus on employee growth, you will have the opportunity to develop your strategic skills while working with prestigious clients in the financial services sector. The benefits package, including a competitive salary, performance bonuses, and private health insurance, combined with a hybrid work model, makes Aquent a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Associate - Arabic [211846]
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Aquent before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Aquent.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Aquent.
We think you need these skills to ace AI Data Associate - Arabic [211846]
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Aquent, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Aquent, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Aquent’s attention and show the tangible impact of your work.
How to prepare for a job interview at Aquent
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Aquent.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Aquent.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Aquent.
