Data Entry Clerk, AGI-DS RAMP

ENGINEERINGUK; Cambridge; On-site; GBP 25,000 - 45,000; Full time

Job description

You will need to login before you can apply for a job.

DESCRIPTION

AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are hiring Senior Data Associates focused on language data and customer-facing projects.

Key job responsibilities
In this role, you will:

1. Annotate data to a high quality, based on customer needs
2. Work with team managers, operations managers and project leads to prioritise and manage workload
3. Provide support for data collection and project execution
4. Manage stakeholder communication, providing management and partner teams with administrative support.
5. Work directly with customers with varying levels of seniority, ensuring effective and proactive communication.
6. Manage/support escalation on predefined tasks
7. Dive deep into issues found during the working day, implementing solutions independently and proactively surfacing them to the rest of the global team.
8. Highlight issues to stakeholders as required
9. Work across global team(s) and operations organisations to enable associates to take the right actions for internal customer, driving business metrics and improving output for customers.
10. Identify operational inefficiencies that can be removed and adapt existing procedures/SOP to improve team efficiency
11. Scrutinise work and processes, making sense of ambiguous customer directives.
12. Identify the presence of sensitive or toxic content in AI interactions.

A day in the life
To be successful in this role, you will need to thrive in a changeable and dynamic environment. You must demonstrate agility by rapidly adapting to customer demands, pivoting projects, and seamlessly transition between different types of work as priorities shift. Driven by your passion for data, you show proactive and responsible behaviour in solving issues with efficiency and accuracy. Your ability to concentrate and your high attention to detail help you deliver high-quality work. You feel comfortable maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. Your excellent communication and strong organisational skills help you support several projects at one time, and re-prioritise as necessary.

About the team
The team works strictly in the office Monday through Friday, with core hours of 10-4. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.

BASIC QUALIFICATIONS

1. Strong proficiency in English language. Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension.
2. 5 GCSEs or equivalent.

PREFERRED QUALIFICATIONS

1. Bachelor's degree in a relevant field or equivalent professional experience.
2. Experience working with speech or language data, including experience with annotation, and other forms of data markup.
3. Typing speed at 50 WPM or above.
4. Eye for detail and ability to pivot from one category of requirement to another instantaneously.
5. Research skills to navigate and synthesise multiple resources; understanding of basic academic integrity, i.e. plagiarism.
6. To be flexible in work timing and be ready at hand to meet delivery targets.
7. Ability to support annotation work that may be sensitive or toxic in nature.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.