AI Data Annotation Specialist , Artificial General Intelligence

TN United Kingdom; Cambridge; On-site; GBP 30,000 - 60,000; Full time

Job summary

An innovative company is seeking an AI Content Expert II to join their dynamic Data Team. This role involves creating and annotating complex training data for Large Language Models, requiring a keen eye for detail and strong writing skills. You'll collaborate closely with scientists and engineers, ensuring high-quality outputs while adapting to fast-paced changes. With a focus on continuous improvement and a supportive team environment, this position offers a unique opportunity to contribute to cutting-edge AI technology. If you're passionate about language data and eager to make a difference, this role is perfect for you.

Qualifications

• Proven experience with written language data and annotation.
• Strong proficiency in English with excellent writing skills.
• Ability to adapt writing style to various guidelines.

Responsibilities

• Creating and annotating high-quality training data across multiple modalities.
• Performing audits and quality checks of completed tasks.
• Identifying and reporting tooling bugs and suggesting improvements.

Skills

Data Annotation

Content Generation

Data Analysis

Research Skills

Attention to Detail

Writing Proficiency

Adaptability

Education

High-School Diploma

Bachelor’s Degree (Preferred)

Tools

Command Line Interfaces

Python

HTML

XML

Markdown

JSON

CSV

RTF

Job description

Social network you want to login/join with:

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Client:

Evi Technologies Limited

Location:

Cambridge, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

1a35865f1a68

Job Views:

3

Posted:

02.05.2025

Expiry Date:

16.06.2025

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Job Description:

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.

Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements

A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.

About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. 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

- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

PREFERRED QUALIFICATIONS

- Bachelor’s degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content