AI Data Associate - Swedish

Overview

Are you ready to be at the epicenter of the AI revolution? We are seeking an exceptional individual to join a dynamic team dedicated to advancing the frontier of artificial intelligence. This isn’t just a job; it’s an opportunity to directly shape the intelligence of future AI systems, influencing how they understand, interact, and serve users globally. Your expertise will be crucial in building the foundational data that empowers transformative AI capabilities, making the ‘box’ of possibility significantly ‘bigger’.

Aquent is proud to partner with a globally recognized technology leader that is at the forefront of AI innovation. This organization is making significant investments in generative AI and the responsible development and deployment of large language models, aiming to revolutionize human-technology interaction.

This is a 6-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.

The Opportunity: AI Data Associate

This role offers a unique chance to contribute to the most transformational technology of our time. You will be instrumental in the responsible development and deployment of advanced AI, working with diverse data types and applying your expertise to critical machine learning workflows. If you thrive on making logical decisions in ambiguous situations, possess an eagle eye for detail, and are eager to contribute to cutting-edge technology, this is the role for you.

Key Responsibilities

• Maintain and follow strict confidentiality protocols, prioritizing customer privacy above all.
• Work with a range of different types of data, including but not limited to text, speech, image, and video.
• Deliver high-quality labeled data, adhering to provided guidelines to meet key performance indicators (KPIs) and utilizing in-house tools and software.
• Assume the role of a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, creating factually and grammatically correct responses, ranking responses, and creating grammatically correct text, speech, image, and video annotations.
• Ability to make logical decisions while performing tasks, even when provided information is ambiguous.
• Demonstrate an eye for detail and the ability to pivot instantaneously from one category of requirement to another.
• Support daily operational deliverables such as Average Handle Time (AHT), quality, and Turnaround Time (TAT) for multiple task types assigned to you and the team.
• Demonstrate expertise in handling the end-to-end data execution process related to labeling tasks, with reduced dependence on work instructions.
• Contribute to root cause analysis, identify error patterns, and propose solutions to improve the quality of labeling tasks.
• Responsible for identifying day-to-day process and operational issues in Standard Operating Procedures (SOPs) and tools, suggesting changes to unblock operations.
• Demonstrate ownership in providing floor support to clarify internal queries during execution on a need basis.

Why Join This Team?

You will be part of a diverse team that operates strictly in the office, Monday through Friday, with an eight-hour shift. This team is constantly seeking ways to improve capabilities and deliver the best possible product. Expect regular meetings, comprehensive training, and engaging team events throughout the year, fostering a collaborative and growth-oriented environment.

Qualifications

Must-Have Qualifications

• An associate’s degree or related work experience.
• CEFR C1+ or equivalent fluency in Swedish language.
• Written and spoken knowledge of English is essential (CEFR C1+).
• Strong business writing skills with the ability to create reports, proposals, and professional correspondence.
• Advanced reading comprehension with the ability to analyze complex business documents.
• Developed analytical thinking and structured problem-solving capabilities.
• Strong ability to interpret and implement detailed instructions across various projects.
• Proficient research skills with experience gathering and synthesizing information from multiple sources.
• Proven attention to detail in managing complex tasks and documents.

Nice-to-Have Qualifications

• Bachelor’s degree in a relevant field.
• Professional work experience with demonstrated task execution ability.
• Proven capacity to leverage open-source resources effectively for comprehensive research purposes.
• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
• Project coordination or management experience (for support functions teams).
• Experience managing stakeholder relationships across departments.
• Advanced proficiency in Microsoft Office Suite and common business applications.