Aquent
AI Data Associate - Arabic [211846]
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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.
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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.
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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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